The Sanquest,Inc. Data Engineer interview guide, interview questions, salary data, and interview experiences.

Sanquest,Inc. Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Sanquest,Inc.? The Sanquest,Inc. Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Sanquest,Inc. Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Sanquest,Inc..</li>
<li>Practice real Sanquest,Inc. Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Sanquest,Inc. Data Engineer interview.


Getting ready for an Data Engineer interview at Sanquest,Inc.? The Sanquest,Inc. Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Sanquest,Inc. Data Engineer roles.
- Gain insights into the Data Engineer interview process at Sanquest,Inc..
- Practice real Sanquest,Inc. Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Sanquest,Inc. Data Engineer interview.
        

Overview

Challenge

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Sanquest,Inc. Data Engineer Interview Process

Interview Tips

<h5>GM Financial Technology </h5>Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry. Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact. <h5>Responsibilities </h5>We are expanding our efforts into complementary data technologies for decision support in areas of ingesting and processing large data sets including data commonly referred to as semi-structured or unstructured data. Our interests are in enabling data science and search-based applications on large and low latent data sets in both a batch and streaming context for processing. To that end, this role will engage with team counterparts in exploring and deploying technologies for creating data sets using a combination of batch and streaming transformation processes. These data sets support both off-line and in-line machine learning training and model execution. Other data sets support search engine-based analytics. Exploration and deployment of technologies activities include identifying opportunities that impact business strategy, collaborating on the selection of data solutions software, and contributing to the identification of hardware requirements based on business requirements. Responsibility also includes coding, testing, and documentation of new or modified scalable analytic data systems including automation for deployment and monitoring. This role partakes, along with team counterparts, in developing solutions in an end-to-end framework on a group of core data technologies. In this role you will: <ul> <li>Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation </li><li>Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques </li><li>Contribute to the definition and refinement of processes and procedures for the data engineering practice </li><li>Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify, capture, collect and format data from the external sources, internal systems, and the data warehouse to extract features of interest </li><li>Code, test, deploy, monitor, document and troubleshoot data engineering processing and associated automation </li></ul> <h5>Qualifications </h5>What makes you an ideal candidate? <ul> <li>Experience with Adobe solutions (ideally Adobe Experience Platform, XDM, RTCDP DTM/Launch) and REST APIs </li><li>Digital technology solutions (DMPs, CDPs, Tag Management Platforms, Cross-Device Tracking, SDKs, etc.) Knowledge of Real Time-CDP and Journey Analytics solution </li><li>SQL experience: querying data and sharing what insights can be derived </li><li>Working knowledge of Agile development /SAFe, Scrum and Application Lifecycle Management. </li><li>Experience with ingesting various source data formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as Oracle. </li><li>Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets. </li><li>Understanding of cloud computing technologies, business drivers and emerging computing trends. </li><li>Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape. </li><li>Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc. </li><li>Strong background with source control management systems; Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps). </li><li>Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems. </li><li>Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise. </li><li>Creating and maintaining ETL processes </li><li>Knowledgeable of best practices in information technology governance and privacy compliance </li><li>Troubleshoot complex problems and work across teams to meet commitments. </li><li>Excellent computer skills and proficiency in digital data collection. </li><li>Ability to work in an Agile/Scrum team environment </li><li>Strong interpersonal, verbal, and writing skills. </li><li>Understanding of big data platforms and architectures, data stream processing pipeline/platform, data lake and data lake houses </li><li>Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services </li><li>Understanding of GDPR, privacy & security topics </li><li>Strong in the use of Microsoft Office software, data querying platforms (Databricks is a plus) and statistical programming tools such as Python </li></ul> Experience <ul> <li>2-4 years of hands-on experience with data engineering required </li><li>Bachelor's degree in related field or equivalent experience required </li></ul> What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. Our Culture: Our team members define and shape our culture an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work we thrive. Compensation: Competitive pay and bonus eligibility Work Life Balance: Flexible hybrid work environment, 2 days a week in office in Irving, TX

<h3>Job Description</h3><div>Job Description<div><div>Job Title: Senior Data Engineer Company: Techoauth Solutions LLC Location: Fort Worth, TX (Hybrid) </div><div>Job Summary </div><div>Techoauth Solutions is seeking a Senior Data Engineer to design and maintain scalable data pipelines supporting AI-driven analytics and data platforms. This role will work closely with engineering and analytics teams to ensure reliable, secure, and high-performance data systems. </div><div>Responsibilities </div><ul><li>Design and build scalable ETL/ELT pipelines using Python and modern data tools </li><li>Develop and optimize data models using PostgreSQL </li><li>Write efficient SQL queries and improve data performance </li><li>Manage data workflows using Dagster, Airflow, DBT, or AWS Glue </li><li>Monitor pipeline health and troubleshoot data issues </li><li>Work with AWS services such as Athena, Glue, SQS, SNS, IAM, and CloudWatch </li><li>Maintain data quality, governance, and security standards </li><li>Document data pipelines, workflows, and system architecture </li><li>Collaborate with cross-functional teams and mentor junior engineers </li></ul><div>Requirements </div><ul><li>Bachelor’s degree in Computer Science, Data Engineering, or related field </li><li>5+ years of experience building production data pipelines </li><li>Strong SQL skills with PostgreSQL or similar databases </li><li>Experience with Python and data processing frameworks  </li><li>Experience with ETL/ELT tools such as DBT, Dagster, Airflow, or AWS Glue </li><li>Knowledge of AWS cloud services </li><li>Experience with GitHub and CI/CD workflows </li><li>Strong analytical, problem-solving, and communication skills </li></ul><div>Preferred </div><ul><li>Experience with healthcare data or HIPAA compliance </li><li>Experience working with AI or machine learning data platforms </li></ul><div>Work Environment </div><ul><li>Hybrid work model (Fort Worth office + remote work) </li><li>Standard business hours with occasional on-call support for data pipeline incidents. </li></ul></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Planet Technologies is seeking a Microsoft 365 Knowledge Management Specialist that drives learning, process improvements, and promotes user adoption in a fast-paced environment. The ideal candidate will need to be familiar with basic SharePoint content administration and content management, Power Platform applications, governance, user adoption, along with Training and User Education concepts. </div><div> </div><div>The ideal candidate will be able to collaborate with organizations to create and maintain relationships with other Knowledge Managers and end-users while effectively leveraging technology to solve complex business processes and inefficiencies. Candidates must be willing to work on site 5 days a week in DC. Candidate must also hold an active Top-Secret clearance. </div>Responsibilities<ul><li>Data Integration & Quality: Integrate and standardize data from diverse DoD information systems, ensuring consistency and accuracy across the enterprise. Implement data quality checks, metadata management, and version control to maintain a single source of truth for critical organizational data. Identify and resolve data gaps or inconsistencies and optimize data flows to support cross-departmental analysis and decision-making.  </li><li>Knowledge Management & Collaboration: Design and oversee knowledge management (KM) initiatives that capture and disseminate institutional knowledge across the organization. Manage enterprise content from M365 Tools including SharePoint Online sites, Teams channels to ensure information is organized, searchable, and accessible to authorized users. Develop and enforce KM policies and best practices for document management, information sharing, and archiving, maximizing the utility and speed of access to knowledge for all stakeholders.  </li><li>Data Analytics & Reporting: Utilize advanced analytics techniques and business intelligence tools (Power BI) to transform raw data into actionable insights. Develop interactive dashboards, reports, and visualizations that allow senior leaders to quickly understand complex data and make informed decisions. Perform statistical analysis and data mining on large datasets to identify trends, patterns, and opportunities that support the organization’s mission. Optimize “quick-turn” analysis processes to reduce reporting timelines from weeks to hours, enabling rapid decision cycles.  </li><li>Data Governance & Security Compliance: Establish and enforce data governance standards and procedures aligning with DoD and federal requirements. This includes implementing controls to ensure data confidentiality, integrity, and availability in line with FISMA guidelines and categorization of systems (NIST SP 800-53 security controls). Ensure all cloud-based solutions are FedRAMP-authorized and meet DoD Cloud Computing Security Requirements Guides (SRG) for impact levels. Collaborate with cybersecurity teams to conduct risk assessments, ensure information assurance and Authority to Operate (ATO) for data systems, and maintain compliance with data handling policies (CUI, HIPAA if applicable).  </li><li>Cross-Functional Collaboration: Work closely with various stakeholders, including data scientists, analysts, IT administrators, and program managers, to understand data needs and deliver solutions. Integrate with globally dispersed teams and multiple organizations to unify data handling processes across different networks and environments. Facilitate information sharing between departments and external partners, ensuring that data and knowledge flow seamlessly to support joint missions and initiatives.  </li><li>Strategic Insight & Leadership: Act as a subject matter expert in both data engineering and knowledge management. Provide guidance and training to team members and end-users on best practices for data usage, analytics tools, and KM systems. Advise senior leadership on data-driven strategies and the effective use of information systems to enhance decision quality. Prepare and deliver high-level briefings, white papers, and recommendations on improving data management, knowledge sharing, and technology adoption within the organization.  </li></ul>Skills Required<ul><li>Education & Experience: Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. 8+ years of experience in data engineering, data management, or business intelligence, preferably in a DoD environment.</li><li>Analytics & BI Skills: Hands-on experience with business intelligence and data visualization tools, especially Microsoft Power Bi for creating interactive dashboards and reports. Ability to perform statistical analysis and data mining to extract insights from structured and unstructured data, and to present findings in a clear, actionable manner.  </li><li>Knowledge Management: Experience implementing or managing Knowledge Management programs or content management systems in an enterprise setting. Familiarity with Microsoft 365 ecosystem (SharePoint Online, Teams, OneDrive) for collaboration and information sharing. Ability to develop taxonomies, manage document libraries, and promote knowledge-sharing practices across an organization.  </li><li>Security & Compliance: Strong knowledge of federal data security and governance standards, including FISMA (Federal Information Security Modernization Act) and FedRAMP requirements for cloud services. Experience ensuring data systems and cloud solutions comply with DoD security policies and NIST guidelines. </li><li>Soft Skills: Excellent communication and interpersonal skills. Demonstrated ability to brief senior leadership and stakeholders on technical topics in a clear, concise manner. Strong problem-solving skills and adaptability in a fast-paced, mission-focused environment. Proven project management and organizational skills to handle multiple projects and shifting priorities effectively.  </li><li>Clearance: Active DoD Secret clearance (minimum) is required; Top Secret/SCI eligibility preferred. Must be a U.S. citizen.  </li><li>Certifications: Professional certifications such as Certified Knowledge Manager (CKM), CompTIA Security+ (or CISSP), and Microsoft Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect) CCSP, Certified Data Management Professional) is a plus</li><li>Domain Experience: Direct experience supporting DoD, Intelligence Community, or Federal projects. Familiarity with DoD data classification (e.g., handling of Unclassified, CUI, Secret, TS/SCI data), and experience working with DoD IT environments such as Azure Government Cloud or DoD365 (Microsoft 365 GCC High/DoD) environments. </li><li>Tools & Technologies:. Knowledge of Power Platform (Power Apps, Power Automate) for workflow automation, experience with SharePoint Framework and other M365 tools</li><li>#CJ</li></ul><div>Planet Technologies is the leading provider of Microsoft Consulting Services to public sector and commercial organizations. Planet has significant experience in deploying business intelligence, cloud services, unified communications, and systems management with an emphasis building, deploying, and managing custom solutions that transform the business operations of federal government agencies. </div><div>Planet Technologies does not discriminate in employment opportunities, terms and conditions of employment, or practices. All qualified applicants will receive consideration for employment without regard to race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, protected veteran status, or any characteristic protected by law. Federal Agency Clearance Requirements may require up to a 10-year background investigation - US Citizenship (clearable) is required. </div><div> </div><div>Salaries for Knowledge Managers at Planet Technologies range from $110,000 and $200,000. Several factors will impact final pay offered to a successful candidate including but not limited to the type and years of experience within the job, clearance level, the type of years and experience within the industry, education, training, etc. </div><div> </div><div>Visit www.go-planet.com to learn more about us. Details about our benefits can be found here Planet Technologies Benefit Guide 2025-2026 </div><div> </div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div>

Bright Venture Partners is looking for brilliant, kind, and driven individuals to join our team. Be part of the trusted consulting partner of the country’s most ambitious businesses, driving transformation and delivering impact across research & analytics, product and brand development, and enterprise software development. THE ROLE As a Data Engineer, you will execute data pipeline development and platform implementation projects under the architectural guidance of senior engineers. You will work directly with clients to build reliable data integration solutions, implement ETL/ELT workflows, and establish data infrastructure that powers analytics capabilities. You will be a key delivery partner across multiple client engagements, bringing technical expertise and strong execution to move projects from design to production. KEY RESPONSIBILITIES Pipeline Development & Platform Implementation <ul><li>Build and maintain robust ETL/ELT pipelines that integrate diverse data sources such as operational systems, external data sources, and APIs.</li><li>Execute platform buildouts based on architectural specifications: setting up cloud resources, configuring tools, and establishing environments</li><li>Develop and maintain data models that provide clean, business-ready datasets for analytics consumption</li><li>Implement data quality checks, monitoring, and alerting to ensure pipeline reliability and data trustworthiness</li><li>Troubleshoot pipeline failures, performance issues, and data quality problems</li></ul> Client Collaboration <ul><li>Work closely with client technical teams to understand data sources, business logic, and integration requirements</li><li>Collaborate with analytics team to understand downstream use cases and optimize data models accordingly</li><li>Participate in client meetings to provide technical updates, clarify requirements, and address implementation questions</li><li>Support 1-2 concurrent client projects with guidance on prioritization and workload management</li></ul> REQUIRED SKILLS AND QUALIFICATIONS <ul><li>3-5 years in data engineering or related technical role with hands-on pipeline development experience</li><li>Strong proficiency and experience across modern data stack: cloud warehouses (Snowflake/Databricks/BigQuery/Redshift), orchestration, transformation, and cloud platforms (AWS/GCP/Azure)</li><li>Experience integrating data from APIs, databases, and third-party platforms; familiarity with SQL/Python for scripting and data manipulation</li><li>Strong communication skills and ability to work effectively with both technical and business stakeholders in a client-facing environment</li></ul>

<h5>Lead Data Engineer / Sme </h5>Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Peraton seeks a Lead Data Engineer / SME to support Department of Defense Cyber Defense Command (DCDC) with leading the Analytic Development Team to build and maintain the DODIN data foundation through data engineering, pipeline management, and analytics integration. Location: Fort Meade, MD. Primary Responsibilities include: <ul> <li>Lead team of 7 engineers and developers </li><li>Architect ETL processes and data integration solutions </li><li>Oversee API and data services development for JCWA systems </li><li>Implement SchemaOne standards and data quality controls </li><li>Guide DevSecOps practices and CI/CD pipelines </li><li>Manage enterprise data flows between DASC, DAOs, and partners </li></ul> Required Qualifications: <ul> <li>Minimum of 16 years with BS/BA; Minimum of 14 years with MS/MA; Minimum of 10 years with Ph.D. </li><li>Expert proficiency in Python, SQL, and pipeline frameworks (Airflow, NiFi) </li><li>Strong experience with big data technologies (Hadoop, Spark, Kafka) </li><li>Experience with cloud platforms and containerization </li><li>Knowledge of API development and microservices </li><li>4+ years leading technical teams </li><li>U.S Citizenship required </li><li>TS with ability to obtain/maintain SCI </li></ul> Preferred Qualifications: <ul> <li>AWS/Azure/GCP certifications </li><li>Master's degree preferred in Computer Science or Data Engineering (Bachelor's degree required) </li></ul> Target Salary Range: $190,000 - $304,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits. Application Duration Statement: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

About ProSourceAt ProSource, we build and manage highly technical distributed teams for some of the most innovative companies in the world. We believe in humanizing the outsourcing industry by finding, attracting, and retaining top talent. Our dynamic workspaces promote creativity, collaboration, and well-being. We leverage smart technologies to ensure our clients and employees thrive in a collaborative, high-performing environment. Role Overview:The BI Data Engineer role works closely with other BI Team Member, product knowledge specialists, and internal customers to turn raw data into insightful information that can be used to make sound actionable business decisions. They identify, collect, and transform data from hundreds of sources to create models that are accurate, congruent, reliable and easily accessible. The data and tools they provide helps operational teams drive improvement in key operational metrics, customer experience, and business results. Key Responsibilities:<ul><li>We are a cloud first organization and with that our BI toolset is cutting edge technology across multiple vendors (Stitch, Snowflake, and Sigma).</li><li>Utilize key automation intelligence functions within our BI environment for financial analysis.</li><li>Work directly with leadership to analyze requirements and manage rollout with the intention of improving operational efficiencies.</li><li>Design, develop, and maintain BI solution that empowers leadership with self-service reporting tools.</li><li>Collaborate with development and engineering teams to ensure best practices are followed and processes are documented for system tool creation and management.</li><li>Develop various comprehensive domain-specific dashboards.</li><li>Monitor and provide support for current production applications.</li><li>Monitor and identify obsolete system procedures and processes and ensure resolution.</li><li>Maintain various documents for operational systems and update as required.</li><li>Working with more than 100+ directly connected data sources throughout the Inhabit ecosystem.</li></ul> Qualifications:<ul><li>3+ years experience with SQL and Power BI or Tableau required, Stitch and Snowflake preferred. </li><li>Coding skills with SQL, R, Python or Java required. </li><li>Exceptional analytical ability, strong technical skills and business intelligence skills.</li><li>Possess strong Customer Service mindset, demonstrates a full understanding of the needs of the internal customer.</li><li>Ability to work independently.</li><li>Excellent verbal and written communication skills.</li></ul> Schedule:<ul><li>Monday to Friday, 9pm to 6am PHT</li></ul> What's in it for you?<ul><li>???? Highly competitive salary</li><li>???? HMO coverage for you and your 2 dependents from Day 1</li><li>???? Enjoy a fully remote setup with all the tools you need</li><li>???? Full-time role with excellent perks and benefits</li></ul> Ready to take the next step? Apply now and be part of our team!

<h5>Data Engineer </h5>Location: Hybrid (3x onsite) 2 location options: Houston TX (Downtown) Evansville IN 47708 Project Details: Looking for a Data Engineer that will work in the IT and Data Analytics group at. They will help with developing, constructing, test and maintain data acquisition pipelines for large volumes of data.

Coders Connect is proud to be partnering with Sanofi to support the growth of their AI Workflow Engineering team, a cutting-edge group leading global initiatives in intelligent automation and GenAI deployment. Based in Paris, this role offers the chance to work on a truly unique project, deploying AI agents at scale across an international enterprise. As a Lead Data Engineer, you’ll take ownership of the design, delivery, and evolution of data architectures powering Sanofi’s next-generation AI workflows. You’ll lead a small team of engineers, setting the technical direction while staying hands-on with architecture and implementation. What you'll do:<ul><li>Lead the design and delivery of data pipelines, datamarts, and AI workflows, ensuring scalability, compliance, and performance.</li><li>Collaborate with product and business stakeholders to translate complex requirements into robust technical architectures.</li><li>Work with architects and software engineers to build Snowflake-based datamarts, leveraging DBT, Airflow, and Python for orchestration and automation.</li><li>Define and continuously refine DataOps and MLOps practices, integrating CI/CD pipelines via GitHub Actions and Terraform on AWS.</li><li>Provide technical leadership and mentorship to a small team, fostering growth and accountability.</li><li>Ensure data quality and observability through testing, validation, and proactive monitoring.</li><li>Integrate GenAI, RAG pipelines, and agentic AI systems into enterprise production workflows.</li><li>Stay at the forefront of data and AI innovation, aligning solutions with Sanofi’s global digital standards.</li></ul> Requirements:You are a hands-on data engineering leader with a passion for building high-performing teams and architecting scalable data ecosystems. You thrive at the intersection of data, AI, and automation. Designing solutions that make AI workflows reliable, efficient, and business-impactful. <ul><li>Proven experience leading end-to-end data engineering projects from concept to production.</li><li>Deep expertise in Snowflake, Airflow, DBT, Python, AWS, Terraform, and GitHub Actions.</li><li>Strong proficiency in SQL and relational database design.</li><li>Knowledge of MLOps and DataOps principles, including observability, reproducibility, and CI/CD standards.</li><li>Experience integrating GenAI, RAG, or Agentic AI pipelines into large-scale environments.</li><li>Understanding of regulated data environments and compliance best practices.</li><li>Excellent leadership and mentorship abilities.</li><li>Strong communication skills with both technical and business stakeholders.</li><li>Analytical, structured, and proactive in problem-solving and delivery.</li><li>Service-oriented and highly collaborative team player.</li><li>6–8 years of experience in data engineering, ideally within enterprise or global settings.</li><li>Bachelor’s or Master’s in Computer Science, Engineering, or related field.</li><li>Experience in the healthcare or regulated industry is a strong plus.</li></ul> Benefits:<ul><li>Be part of a global AI-powered biopharma leader driving digital transformation at scale.</li><li>Work on groundbreaking AI agent deployment projects that directly impact global business operations.</li><li>Enjoy exceptional growth opportunities through international exposure, promotions, and continuous learning.</li><li>Benefit from a comprehensive rewards package, including top-tier healthcare and 14 weeks of gender-neutral parental leave.</li><li>Collaborate within a forward-thinking, inclusive team where innovation and well-being go hand in hand.</li></ul> Join Sanofi and lead the data foundation behind AI workflows that are redefining how a global organization thinks, works, and delivers healthcare to the world.

Work on data driven strategies to apply AI and ML to novel drug discovery, at the forefront of biotech innovation.This Jobot Job is hosted by: Charles SimmonsAre you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.Salary: $140,000 - $180,000 per yearA bit about us:Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, this organization has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. The organization partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients.Why join us?You'll play a central role in shaping the company's data platform by contributing to ingestion frameworks, orchestration patterns (using Dagster or alternatives like Prefect or Airflow), and dbt-based modeling strategies. This is a high-impact role for an experienced engineer who loves building clean pipelines, understands metadata and observability, and enjoys making data discoverable and trustworthy for analytics, operations, and product use cases. <ul><li>Competitive salary and total compensation ranges based on experience </li><li>Work on site in NYC or Boston, or up to 100% from home anywhere in the US. </li><li>Comprehensive health, vision, and dental coverage for individuals and families </li> </ul>Job DetailsJob Details:We are seeking a passionate and talented Senior Data Engineer to join our dynamic team in the scientific industry. The ideal candidate will have a strong background in data engineering and a deep understanding of modern data processing technology stacks. The successful candidate will be responsible for the design, development, testing, and deployment of highly scalable data management systems. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The individual in this role must be comfortable working in a fast-paced and dynamic environment with a high degree of autonomy.Responsibilities:1. Design, construct, install, test, and maintain highly scalable data management systems.2. Ensure systems meet business requirements and industry practices.3. Build high-performance algorithms, prototypes, predictive models, and proof of concepts.4. Research opportunities for data acquisition and new uses for existing data.5. Develop data set processes for data modeling, mining, and production.6. Integrate new data management technologies and software engineering tools into existing structures.7. Create custom software components and analytics applications.8. Install and update disaster recovery procedures.9. Collaborate with data architects, modelers, and IT team members on project goals.10. Employ a variety of languages and tools to marry systems together.11. Recommend ways to improve data reliability, efficiency, and quality.12. Use Dagster or equivalent for creating data pipelines and workflows.Qualifications:? 5+ years of experience in data engineering or related fields.? Strong hands-on experience with Python, SQL, and dbt.? Proficiency with orchestration tools like Dagster, Prefect, or Airflow.? Experience building data ingestion pipelines from REST APIs, flat files, and cloud storage (e.g., S3).? Familiarity with Snowflake and its ecosystem—warehouses, cost optimization, RBAC, data sharing.? Clear understanding of metadata, observability, and testing for data pipelines.? You enjoy partnering with stakeholders and understand the importance of clean, discoverable data.? Bonus: experience working in pharma, healthcare, or regulated data environments.? Bonus: experience working with unstructured data and AI Data Engineering (OCR, NER, vector databases, graph databases)Interested in hearing more? Easy Apply now by clicking the "Apply" button.

Grainger Corporate Services LLC is seeking a Data Engineer III in Lake Forest, IL to pioneer a new way of thinking about Data Pipelines, Orchestration & Configuration at Grainger. Up to 25% domestic trvl reqd to conferences & team meetings.100% remote work allowed from anywhere in the U.S. Please submit resume to https://jobs.grainger.com, ref job #328284. Compensation: The anticipated base pay range for this position is $130,707 to $156,400 which reflects the potential base pay at the time of this posting. Base pay will depend on factors such as work loc, relevant exp, & skills. Grainger reserves the right to amend, modify, or terminate compensation & benefit programs in its sole discretion at any time, consistent with applicable law. Rewards and Benefits: To learn about Graingers benefits, please visit: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire recblid bvm465lwoxrxbo0tgkmy3yx1tv886w