Build the future of the AI Data Cloud. Join the Snowflake team.

We're seeking a highly skilled Senior Data Engineer to join our Analytics Engineering & Platform team. In this pivotal role, you will collaborate with our Go-To-Market (GTM) teams to develop top-tier infrastructure that supports data initiatives across the company. This strategic, high-impact position will also play a key role in shaping the future of Snowflake products and services.

RESPONSIBILITIES:

Design, build, and maintain core data models and infrastructure to manage data and usage across our Snowflake account, with a focus on GTM initiatives.
Develop and implement a comprehensive data quality monitoring system, including source-to-target data validations and anomaly detection.
Work closely with Sales, Marketing, Engineering, Product Management, and IT teams to inform product decisions with data insights and identify opportunities for system enhancements.
Collaborate with cross-functional teams to meet data governance requirements and ensure data integrity.
Create and maintain dashboards for IT Leadership to monitor system performance and availability.
Provide data-driven insights for executive team reporting, publications, and industry reports.
Think creatively to devise optimal solutions for complex, unstructured, and ambiguous problems.
OUR IDEAL CANDIDATE WILL HAVE:
5+ years of experience, including:
Sales and Marketing domain expertise (must have)
Designing and building complex data pipelines in large-scale data environments
Experience with Sales and Marketing application integrations
Familiarity with developing data products to drive data science and machine learning initiatives, particularly in the Sales and Marketing space
Proven track record of using big data to drive business impact
Experience using Snowflake is a plus

Educational Background:
BS in a technical field (Computer Science, Physics, Math, etc.); MS/PhD is a plus.

Technical Skills:
Expert-level proficiency in Python and SQL
Ability to clearly present findings to business leaders and technical stakeholders

Personal Attributes:
Ability to thrive in a dynamic environment, demonstrating flexibility and a willingness to tackle challenges head-on.

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

Summary:

At Meta, we have many opportunities to work with data each and every day. In this role as a Data Engineer on the Meta Data Center’s Data Science team, your primary responsibility will be to partner with key stakeholders, data scientists and software engineers to support and enable the continued growth critical to Meta's Data Center organization. You will be responsible for creating the technology and data architecture that moves and translates data used to inform our most critical strategic and real-time decisions. You will also help translate business needs into requirements and identify efficiency opportunities. In addition to extracting and transforming data, you will be expected to use your expertise to build extensible data models, provide meaningful recommendations and actionable strategies to partnering data scientist for performance enhancements and development of best practices, including streamlining of data sources and related programmatic initiatives. The ideal candidate will have a passion for working in white space and creating impact from the ground up in a fast-paced environment. This position is part of the Infrastructure Data Center team.

Required Skills:

Data Engineer Responsibilities:

Partner with leadership, engineers, program managers and data scientists to understand data needs

Apply proven expertise and build high-performance scalable data warehouses

Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)

Securely source external data from numerous partners

Intelligently design data models for optimal storage and retrieval

Deploy data quality checks to ensure high quality of data

Optimize existing pipelines and maintain of all domain-related data pipelines

Ownership of the end-to-end data engineering component of the solution

Support on-call shift as needed to support the team

Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data

Minimum Qualifications:

Minimum Qualifications:

BS/MS in Computer Science or a related technical field

5+ years of Python or other modern programming language development experience

5+ years of SQL and relational databases experience

5+ years experience in custom ETL design, implementation and maintenance

3+ years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Digdag, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M)

3+ years experience with Data Modeling

Experience working with cloud or on-premises Big Data/MPP analytics platform (i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar)

2+ years experience working with enterprise DE tools and experience learning in-house DE tools

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Preferred Qualifications:

Preferred Qualifications:

Experience with more than one coding language

Experience designing and implementing real-time pipelines

Experience with data quality and validation

Experience with SQL performance tuning and end-to-end process optimization

Experience with anomaly/outlier detection

Experience with notebook-based Data Science workflow

Experience with Airflow

Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.

Experience building systems integrations, tooling interfaces, implementing integrations for ERP systems (Oracle, SAP, Saleforce etc).

Public Compensation:

$145,000/year to $204,000/year + bonus + equity + benefits

Industry:  Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match.
Data Engineering  You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product Leadership  You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and Influence  You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Responsibilities   Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems.
Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve.
Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way.
Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
Design, build and launch new data models and visualizations in production, leveraging common development toolkits.
Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries.
Support existing processes running in production and implement optimized solutions with limited guidance.
Define and manage Service Level Agreements for data sets in allocated areas of ownership.
Minimum Qualifications   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent.
2+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions.
2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others).
Preferred Qualifications   Master's or Ph.D degree in a STEM field.
US$114,000/year to US$171,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the  Accommodations request form .

#J-18808-Ljbffr

Data Engineer, Analytics (Technical Leadership)  Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.
We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists, and Software Engineers to support building out a great platform for the future of computing. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. You’ll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis.
The ideal candidate will have strong data infrastructure and data architecture skills as well as experience in areas such as governing company-wide data marts, enabling security and privacy data solutions, and full-stack experience with analytical technologies. Candidates should also have a proven track record of leading and scaling efforts related to end-to-end analytics systems, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how data can proactively improve companies.
Responsibilities   Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross-platform components across Instagram, and define and execute on plan to achieve that vision.
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
Build cross-functional relationships with Data Scientists, Product Managers, and Software Engineers to understand data needs and deliver on those needs.
Define and manage SLA for all data sets in allocated areas of ownership.
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains.
Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
Influence product and cross-functional teams to identify data opportunities to drive impact.
Mentor team members by giving/receiving actionable feedback.
Minimum Qualifications   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
10+ years experience in the data warehouse space.
10+ years experience in custom ETL design, implementation, and maintenance.
10+ years experience with object-oriented programming languages.
10+ years experience with schema design and dimensional data modeling.
10+ years experience in writing SQL statements.
Experience analyzing data to identify deliverables, gaps, and inconsistencies.
Experience managing and communicating data warehouse plans to internal clients.
Preferred Qualifications   BS/BA in Technical Field, Computer Science, or Mathematics.
Experience working with either a MapReduce or an MPP system.
Knowledge and practical application of Python.
Experience working autonomously in global teams.
Experience influencing product decisions with data.
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$206,000/year to $281,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity, or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long-term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.

#J-18808-Ljbffr

Summary:

Are you passionate about Facebook’s product, analytics and technology? The Analytics, Data Engineering team is looking for fast-moving analytics candidates and data junkies who want to make an impact. Our data warehouse team works very closely with Product Managers, Product Analysts and Internet Marketers to figure out ways to acquire new users, retain existing users and optimize user experience - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction. You will work with some of the brightest minds in the industry, and you'll have the opportunity to solve some of the most challenging business problems on the web and mobile Internet, at a scale that few companies can match.

Required Skills:

Data Engineer, Analytics Responsibilities:

Architect, implement and deploy new data models and data processes in production

Perform data analysis to generate business insights

Interface with Engineers, Product Managers and Product Analysts to understand product goals and data needs

Build data expertise and own data quality for allocated areas of ownership

Manage data warehouse plans for a product or a group of products

Support critical data processes running in production

Minimum Qualifications:

Minimum Qualifications:

Currently has, or is in the process of obtaining, a Bachelors or Masters degree in Computer Science, Mathematics, or related technical field

Programming knowledge in Python or Java

Knowledge of SQL

Knowledge of database systems

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred Qualifications:

Preferred Qualifications:

Experience thriving in a fast-paced work environment

Curious, self-driven, analytical and excited to play with data

Experience in collaborating with individuals and organizations

Public Compensation:

$46.63/hour to $134,000/year + bonus + equity + benefits

Industry:  Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

<h3>Job Description</h3><div>Job Description<div><div>Our client is looking for a Big Data & ML Infrastructure Engineer to help them on their mission to building the world’s largest AI training and validation platform for healthcare.The OpportunityAs a Software Engineer (Big Data & ML Infrastructure), you will be at the heart of this company’s mission, shaping the architecture that powers its AI ecosystem. This role is ideal for a data engineering expert with a deep passion for building scalable, efficient, and secure infrastructure that can handle the complexities of real-world healthcare data. You will work closely with data scientists, product managers, and healthcare partners to design data pipelines that make AI development faster, safer, and more impactful.Why This Role?<ul><li>Cutting-Edge Work: Lead the development of cloud-based ML infrastructure at scale, handling structured and unstructured data from legacy healthcare systems.</li><li>High Impact: Your work will directly contribute to building AI models that improve patient outcomes and advance clinical research.</li><li>Elite Team: Collaborate with industry-leading experts in AI, healthcare, and technology.</li><li>Growth Potential: Join a well-funded, rapidly growing company with a culture of learning, innovation, and technical excellence.</li><li>Flexible Location: This role is based in New York but offers remote flexibility for the right candidate.</li></ul>Key Responsibilities<ul><li>Architect and optimize ETL pipelines to handle petabytes of healthcare data.</li><li>Develop scalable solutions for data processing, storage, and cloud-based machine learning models.</li><li>Ensure compliance with healthcare regulations while maintaining best-in-class data security.</li><li>Partner with health system stakeholders to facilitate seamless data movement.</li><li>Create and maintain clear documentation, ensuring transparency and auditability.</li></ul>Ideal Candidate Profile<ul><li>3+ years of Python development across the full software lifecycle.</li><li>Deep experience with OLAPs (AWS Redshift, BigQuery, Snowflake) and SQL.</li><li>Hands-on expertise with Terraform, Docker, and cloud-based infrastructure (AWS, GCP, Azure).</li><li>Strong problem-solving skills and ability to work in fast-paced, ambiguous environments.</li><li>Prior experience in healthcare data, NLP, OCR, or AI tools is a plus.</li><li>A team player with a practical, solutions-driven mindset.</li></ul>Compensation & Benefits<ul><li>Comprehensive benefits package</li><li>Equity opportunities</li><li>Flexible, mission-driven work environment</li></ul></div></div></div>

Build the future of the AI Data Cloud. Join the Snowflake team.
We're seeking a highly skilled Senior Data Engineer to join our Analytics Engineering & Platform team. In this pivotal role, you will collaborate with our Go-To-Market (GTM) teams to develop top-tier infrastructure that supports data initiatives across the company. This strategic, high-impact position will also play a key role in shaping the future of Snowflake products and services.

RESPONSIBILITIES:     Design, build, and maintain core data models and infrastructure to manage data and usage across our Snowflake account, with a focus on GTM initiatives.

Develop and implement a comprehensive data quality monitoring system, including source-to-target data validations and anomaly detection.

Work closely with Sales, Marketing, Engineering, Product Management, and IT teams to inform product decisions with data insights and identify opportunities for system enhancements.

Collaborate with cross-functional teams to meet data governance requirements and ensure data integrity.

Create and maintain dashboards for IT Leadership to monitor system performance and availability.

Provide data-driven insights for executive team reporting, publications, and industry reports.

Think creatively to devise optimal solutions for complex, unstructured, and ambiguous problems.

OUR IDEAL CANDIDATE WILL HAVE:     5+ years of experience, including:
Sales and Marketing domain expertise (must have)

Designing and building complex data pipelines in large-scale data environments

Experience with Sales and Marketing application integrations

Familiarity with developing data products to drive data science and machine learning initiatives, particularly in the Sales and Marketing space

Proven track record of using big data to drive business impact

Experience using Snowflake is a plus

Educational Background:
BS in a technical field (Computer Science, Physics, Math, etc.); MS/PhD is a plus.

Technical Skills:
Expert-level proficiency in Python and SQL

Ability to clearly present findings to business leaders and technical stakeholders

Personal Attributes:
Ability to thrive in a dynamic environment, demonstrating flexibility and a willingness to tackle challenges head-on.

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is $152,000 - $204,700.
Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.
The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?

Join a leading fintech company that's democratizing finance for all.

Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

With growth as the top priority...

The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world - we'd love to have you apply.

About the team + role

Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood. These datasets include application events, database snapshots, and the derived datasets that describe and track Robinhood's key metrics across all products. You'll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come.

As a Senior Data Engineer, you will build datasets, pipelines, and develop software to ensure Robinhood can make strong data driven decisions. This position also will partner heavily with the Experimentation Platform team. If you have a passion surrounding data and experimentation, we would love to chat with you!

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What you'll do
Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow.
Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake.
Partner with upstream engineering teams to enhance data generation patterns.
Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models.
Code and develop tools for data engineering and standards.
Define and promote data engineering best practices across the company
What you bring
5+ years of professional experience building end-to-end data pipelines
Proven ability to implement software engineering-caliber code (preferably Python)
Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
Strong SQL (Presto, Spark SQL, etc) skills.
Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
Expert collaborator with the ability to democratize data through actionable insights and solutions.
Experience building data engineering tools and pipelines for Experimentation and A/B Testing is a strong plus.
What we offer
Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more!
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more!
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.

Please see the independent bias audit report covering our use of Covey here.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood's equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$187,000-$220,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$165,000-$194,000 USD

Zone 3 (Lake Mary, FL)

$146,000-$172,000 USD

Click here to learn more about available Benefits, which vary by region and Robinhood entity.

We're looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you're ready to give 100% in helping us achieve our mission-we'd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Required Skills:

Data Engineer Responsibilities:

Design, model, or implement data warehousing activities to contribute to the design and development of Meta products.

Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems.

Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve.

Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.

Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.

Design, build and launch new data models and visualizations in production, leveraging common development toolkits.

Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around creating efficient queries.

Support existing processes running in production and implement optimized solutions with limited guidance.

Define and manage SLA for data sets in allocated areas of ownership.

Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.

Exercise judgment within defined procedures and practices to determine appropriate action.

Minimum Qualifications:

Minimum Qualifications:

Master’s degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Statistics, Data Analytics, Business Analytics, Mathematics, Applied Sciences, or a related field and 2 years of experience in Data Engineering-related roles. Requires 2 years of experience in the following:

Data Visualization using Tableau, R, Python, or PowerBI

Legacy Data Migration

Database systems including relational, distributed, NoSQL, or object databases

Custom ETL design, implementation, and maintenance

Object-oriented programming languages including Python, Java, PHP, and C++

Schema design and dimensional data modeling

Writing SQL statements

Analyzing data to identify deliverables, gaps, and inconsistencies

Managing and communicating data warehouse plans to internal clients.

Public Compensation:

$185,000/year to $196,900/year + bonus + equity + benefits

Industry:  Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Description: Pay Range: $49hr - $54hr <ul> <li> Escalation point for Tier III support issues that are escalated from Tier I and II. </li> <li> Provide Infrastructure services in all areas needed: LAN, WAN, cloud environments, network security and network monitoring, configuration and troubleshooting. </li> <li> Working with our business and the engineering team to successfully implement secure LAN/WAN, wireless, and Data Center network solutions. </li> <li> LAN and Data Center Fabric routing and switching design, configuration, and deployment in small to very large environments. </li> <li> WAN routing design, configuration, and deployment in small to very large environments. </li> <li> Provide network engineering consulting services, including assessment, design, and implementation of secure network products/solutions. </li> <li> pply vendor best practices to client environments under your management. </li> <li> ssist in the design, development, implementation, and ongoing management of client infrastructure and systems. </li> <li> Identify, diagnose, and resolve network problems including network connectivity, traffic utilization. </li> <li> Interface with third-party vendors. </li> <li> Utilize exceptional interpersonal and customer service skills to improve and maintain client relationships. </li> <li> Campus LAN/WAN routing and switching solutions (Cisco is a must, Nexus is strongly preferred). </li> <li> Load balancing/Acceleration solutions (Citrix) are a plus. </li> <li> Network Access Control, including Cisco Identity Services Engine (Client) implementation design, configuration, and deployment is a plus. </li> <li> RF design & Wireless LAN Surveys. </li> <li> RF Troubleshooting and tuning. </li> <li> Cisco WLAN (WLCs, Prime). </li> <li> Provide after-hours coverage as part of an on-call rotation schedule and for client upgrades. </li> <li> Maintain, develop, and grow client documentation. </li> <li> ssist with monthly reports and recommendations for Managed Services Clients. </li> <li> Stay current with industry and technology news, trends, and best practices. </li> <li> 10+ years IT experience. </li> <li> Prefer at least CCNP-level (Cisco Certified Network Profession) & working knowledge. </li> <li> Bachelor's degree in a technical discipline, or equivalent work in an IT-related field. </li> <li> Excellent troubleshooting and analytical skills. </li> <li> bility to prioritize and manage time effectively. </li> <li> Passionate about, and dedicated to the client experience. </li> <li> Excellent written and verbal communication skills. </li> <li> Outstanding attention to detail. </li> <li> Strong documentation skills. </li> <li> Communications (Written and Oral) - Communicates well. Writes clear, precise, well-organized documents. </li> <li> nalysis Skills - Identifies significant problems and opportunities. Analyzes problems and people in depth. </li> <li> Team Player - Reaches out to peers. Overcomes we-they. Leads peers to do what is best for the company. </li> <li> Ideal candidate will be teamwork-oriented, passionate about technology, and possess an excellent work ethic and communication skills. </li> <li> ny MSP or Professional Services experience would be beneficial. </li> <li> 4+ years of networking experience, including configuring, analyzing & troubleshooting enterprise networks. </li> </ul>

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Data Engineer Jobs in Menlo Park, CA

Senior Data Engineer GtmMarch 17, 2025

Data EngineerMarch 12, 2025

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