Data Engineer Senior

Join the D1X pipeline team to design, implement, and support backend systems that power Proofpoint's email security products. Responsibilities include technical leadership and mentoring, building data pipelines with CI/CD and DataOps practices, enforcing data quality and SLA-driven alerting, troubleshooting production incidents, and driving engineering best practices. The role requires 8+ years of software or data engineering experience (4+ years on cloud data platforms), strong Python skills, experience with cloud platforms (AWS/GCP/Azure), containerization (Docker/Kubernetes), secured APIs, and observability tools such as Grafana and Kibana.

NVIDIA seeks a Senior Systems Software Engineer to work on an Apache Spark acceleration service: packaging and running cuDF Spark plugin, Spark Connect runner, Kyuubi, and a CPU/GPU workload router on Kubernetes and AWS. Responsibilities include service design and operation, extending Spark runtime components in Java/Scala, production incident investigation, instrumentation and on-call duties. Requires 9+ years' software development experience and proficiency in Java or Scala plus C++ or Python.

NVIDIA is hiring a Senior Data Engineer on the Digital Marketing Operations team to own a data domain spanning pipelines, data products, audience services, and integrations. The role requires 8+ years of relevant experience and a Master's degree (or equivalent), hands-on expertise building and operating production batch and streaming pipelines (Apache Spark, cloud ETL services), workflow orchestration (Airflow), cloud data warehouses, object storage, and open table formats such as Apache Iceberg. Responsibilities include architecture, cross-team leadership, data governance and privacy (GDPR, PIPL, consent propagation), data quality, incident response, and mentorship. Listed base salary range: 168,000 USD - 270,250 USD per year.

Senior Engineering Manager responsible for delivering and operating partner data ingestion pipelines that feed Snowflake and Finance, driving migrations off legacy ingestion while maintaining revenue correctness. Role requires strong technical judgment and people leadership, cross-functional partnership with Finance and Business Development, experience with Python/SQL, Snowflake and AWS, and adoption of AI-assisted development to improve throughput.

GitHub is hiring a Staff Security Data Engineer to design, build, and maintain scalable, reliable data infrastructure and security telemetry across Azure (and AWS). The role owns pipelines, compute clusters, tables, and data models to support security monitoring, detection, hunting, incident response, and investigations. Requires deep hands-on experience with Azure infrastructure, Kusto/KQL, Apache Airflow, Terraform, and Python; leadership across organizational boundaries; and senior-level security experience (role lists 10+ years as one explicit qualification).

TransUnion seeks a Senior Consultant to lead technical architecture and production-ready system designs for MTA products, translate complex business requirements, represent the team on cross-functional projects, and drive process and quality improvements. Required: Master’s degree plus 3 years in AdTech/MarTech software architecture. Key technologies include SQL, ETL, BigQuery/GCP, Snowflake, Hadoop/Hive, Tableau, A/B testing, and machine learning techniques.

Zyte is hiring a remote Data QA Engineer to own QA for data extraction projects: convert requirements into test approaches, run test cycles, report defects, produce quality reports and improve QA tooling. Requires 5+ years in QA or similar, Python (Pandas, Jupyter), SQL and relational DB familiarity, web technologies (HTML, XPath, JSON, HTTP, CSS), API testing experience, and experience with test automation and agile teams. English communication skills required.

The Data Quality Analyst II develops and implements data quality policies, automated reporting, dashboards, and validation processes for CMS-related healthcare programs. Requires analyzing structured and unstructured data, statistical testing, data cleansing/transformation, and using tools such as Excel, SQL, R/Python, Power BI, and Tableau. Position requires a bachelor’s degree (or higher) in a related field, 5+ years of data analytics experience, familiarity with SAFe/Scrum and tools like Jira/Confluence, and eligibility for a Public Trust clearance (must have lived in the US 3 of the past 5 years).

Responsible for leading and mentoring a global team of data scientists, AI/ML engineers, and analysts to deliver advanced analytics, machine learning, and generative AI/LLM solutions for life sciences customers. Own methodology and model lifecycle (management, observability, testing, deployment), collaborate with consulting and product stakeholders, and enforce data quality, governance, and responsible AI practices. Requires Ph.D. + 5+ years (or M.S. + 8+ years) experience and demonstrated leadership of 10+ people. Location listed as Massachusetts (Boston); role is offered with Veeva's Work Anywhere policy.

The Global Data Science Lead will head the Data Science function within Veeva's Global Analytics Business Consulting team, leading data scientists, AI/ML engineers, and analysts to design and deploy advanced analytics, ML, and generative AI/LLM solutions for life sciences clients. Responsibilities include translating Data Science strategy into delivery, owning global methodology (model management, observability, testing, deployment), ensuring scalable data/AI infrastructure, enforcing data quality, security, governance and responsible AI practices, and collaborating with consulting, engineering, and product stakeholders. Minimum qualification: Ph.D. with 5+ years relevant industry experience (or M.S. with 8+ years). Base pay range listed: $120,000–$250,000 (USD).