100% REMOTE Data Architect / Senior Data Platform Engineer Needed for Growing MarTech Company!This Jobot Job is hosted by: Reed KellickAre you a fit? Easy Apply now by clicking the 'Apply' button and sending us your resume.Salary: $150,000 - $190,000 per yearA bit about us:We are a growing marketing technology startup that is on the lookout for a Database Architect / Senior Database Engineer with a proven background in database architecture, data pipelining, ETL, cloud computing, PySpark, SQL, and Python.Why join us?As a Senior Big Data Engineer / Big Data Architect in our company, we are able to offer:A competitive base salary between $150k and $190k!Attractive equity!Medical, dental and vision benefits!PTO/vacation!Work from home / work remotely 100%!Job DetailsAs a Senior Data Pipeline Engineer / Senior Cloud Data Engineer on our team, we are looking for 5+ years of experience in the following:Database architectureData pipeliningETLCloud computingPysparkSQLPythonInterested in hearing more? Easy Apply now by clicking the 'Apply' button.#J-18808-Ljbffrby Jobble

This Jobot Job is hosted by: Jake DurhamAre you a fit? Easy Apply now by clicking the 'Apply' button and sending us your resume.Salary: $110,000 - $155,000 per yearA bit about us:We are driven by a singular mission: to empower individuals and businesses to achieve their financial goals through cutting-edge technology. As a leading Fin-tech innovator, we understand the evolving landscape of finance and the importance of seamless, intelligent, and secure wealth management. With a commitment to transparency, innovation, and client-centricity, we strive to redefine the way wealth is managed in the digital age.Why join us?Accelerated Growth PathFlexible WFH ScheduleCompetitive SalaryLeadership Track AvailableTransparent and Supportive CultureGreat Healthcare, Vision, and Dental BenefitsJob DetailsJob Details:We are looking for a highly skilled and motivated Data Engineer to join our dynamic organization in the finance industry. This position offers a unique opportunity to work with cutting-edge technologies and solve complex data challenges. The ideal candidate will have a strong background in SQL Server, SQL, Python, AWS, ETL, Data warehousing, and Data modeling.Responsibilities:As a Data Engineer, you will be responsible for:1. Designing, developing, and maintaining robust and scalable data infrastructure, databases, and data processing systems.2. Implementing ETL processes and data pipelines to ingest, clean, and normalize data from various sources.3. Utilizing SQL, Python, and other programming languages to perform data analysis and develop data-driven applications.4. Leveraging AWS cloud services for data storage, processing, and analytics.5. Developing and optimizing data models to support business intelligence and data analytics initiatives.6. Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.7. Ensuring data privacy and compliance with data governance and data management policies.8. Troubleshooting and resolving data-related issues in a timely manner.9. Keeping up-to-date with the latest industry trends and technologies in data engineering and data management.Qualifications:The ideal candidate for this position should possess the following qualifications:1. Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.2. Minimum of 3+ years of experience as a Data Engineer or in a similar role.3. Proven experience with SQL Server, SQL, Python, AWS, Spark, ETL, Data warehousing, Data modeling, and Apache.4. Experience with Docker is a nice to have.5. Strong understanding of database design, data structures, and algorithms.6. Excellent problem-solving skills and the ability to troubleshoot complex data issues.7. Strong communication and collaboration skills, with the ability to work effectively in a team environment.8. High level of attention to detail and commitment to delivering high-quality data solutions.9. Up-to-date knowledge of the latest trends and technologies in data engineering and data management.10. Experience in the finance industry is a plus.Interested in hearing more? Easy Apply now by clicking the 'Apply' button.#J-18808-Ljbffrby Jobble

Snowflake Migration - 6 to 12 month contractThis Jobot Consulting Job is hosted by: Katrina McFillinAre you a fit? Easy Apply now by clicking the 'Apply Now' button and sending us your resume.Salary: $70 - $80 per hourA bit about us:In this role, you will play a hands-on part in driving the architecture, design, and implementation of Snowflake for our client.Why join us?As a Jobot consultant, you will receive the following benefits:75% of your low deductible healthcare premium will be covered by Jobot with 25% covered for your dependentsaccess to a 401(k)40 hours of PTOJob DetailsQualifications:Expertise in Snowflake concepts like setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, Zero copy clone, time travel and understand how to use these featuresExpertise in Snowflake data modeling, ELT using snowpipe, implementing stored procedures and standard DWH and ETL conceptsProven track record of successfully building data driven solutions using integration, big-data processing and database and storage technologiesExperience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etcExperience in Data Migration to Snowflake cloud data warehouseExperience in developing DBT models to transform data into useful, actionable informationExpertise in designing ETL frameworks with several years of hands on experience in implementing several aspects of data pipelines including ingestion, transformation, data quality checks, monitoring, alerts, notifications etcUnderstanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)Hands-on expertise with SQL and SQL analyticsMust Have Skills: DBT, Snowflake, SQL, PythonNice to Have Skills: Airflow, AWS Data analytics services, Scala, PySpark, Great ExpectationsInterested in hearing more? Easy Apply now by clicking the 'Apply Now' button.#J-18808-Ljbffrby Jobble

Lead Data Engineer / Analytics + Data / Hybrid Culver CityThis Jobot Job is hosted by: Jon LopezAre you a fit? Easy Apply now by clicking the 'Apply' buttonand sending us your resume.Salary: $150,000 - $175,000 per yearA bit about us:A video streaming and content creator company wants to add a Lead Data Engineer to their team. This position is hybrid out of Culver City with 3 days onsite and 2 remote. Ideally, this person should be well-versed with data analytics, python, and SQL.send resumes to jon@jobot.comWhy join us?Equitycompetitive basefull benefitsflexible work hoursJob DetailsJob Details:We are seeking an experienced and dynamic Lead Data Engineer to join our Analytics and Data team in the Technology industry. This is a permanent position that offers a remarkable opportunity to be a part of a team that stands at the intersection of data, technology, and analytics. Your work will contribute significantly to the insights and decision-making processes of our organization, helping to shape our technological direction and success. You will be responsible for developing, testing, and maintaining architectures, such as databases and large-scale processing systems. A successful candidate will have a strong understanding of ETL flows, Tableau, CRUD Functions, quantitative methods, and data orchestration tools.Responsibilities:1. Lead and manage a team of data engineers to design, build, and deploy cutting-edge data solutions.2. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.3. Collaborate with data scientists and architects on several projects.4. Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.5. Write complex queries on large data sets and develop scripts to process, store, and analyze data.6. Perform detailed analysis of source systems and source system data and model that data in Tableau.7. Define and manage SLA for all data sets and processes running in production.8. Develop and implement scripts for database storage, backup, and recovery.9. Provide technical leadership and coaching to the most junior team members to ensure our team maintains the high standards set and keeps abreast of the latest industry trends.Qualifications:1. Bachelor's degree in Computer Science, Information Systems, or a related field. A Master's degree is a plus.2. A minimum of 5 years of experience in a Data Engineer or similar role in a fast-paced, complex business setting.3. Proven experience with ETL flows, Tableau, CRUD Functions, quantitative methods, and data orchestration tools.4. Strong SQL skills for querying relational databases (e.g., SQL Server, MySQL).5. Experience with scripting languages such as Python, Java, or R for data manipulation and statistical analysis.6. Strong understanding of database structure principles.7. Experience in data warehousing, architecture, and data modeling.8. Proven ability to lead a team of data engineers effectively.9. Strong problem-solving skills, attention to detail, and analytical thinking.10. Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.Interested in hearing more? Easy Apply now by clicking the 'Apply' button.#J-18808-Ljbffrby Jobble

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Big Data EngineerApril 29, 2024

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Data EngineerApril 27, 2024

Lead Data Engineer Analytics And DataApril 22, 2024

Sr Data EngineerApril 17, 2024

Sr Data EngineerApril 7, 2024

Big Data EngineerApril 3, 2024

Data EngineerApril 3, 2024