Red Hat · 6 hours ago
Senior Data Engineer - Marketing Analytics
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. The Senior Data Engineer works with minimal instruction to design, implement, and optimize complex data solutions, focusing on data systems development and automation to support business needs.
Enterprise SoftwareInsurTechLinuxOpen SourceOperating SystemsSoftware
Responsibilities
Pipeline Architecture: Architect and implement complex, high-volume data pipelines between Snowflake and Databricks utilizing PySpark, dbt, and Astronomer/Airflow to solve marketing attribution and targeting challenges. Contribute to and maintain various DBT projects in the marketing domain
Reporting and Data Science Enablement: Support mature reporting suite, including keeping the lights on for existing BI reporting, standing up new data products for consumers, and providing key inputs for data science modeling. Support efforts for AI ready data and emerging AI functionalities
Best Practices & CI/CD: Champion and implement engineering best practices, including managing CI/CD pipelines with Git and Tekton to ensure reliable, repeatable code delivery in line with company objectives
Production Deployment: Lead the deployment and maintenance of containerized data science models and API Ingestion Pipelines on Red Hat OpenShift (Kubernetes), managing secrets, network routes and container orchestration
SQL Expert: Use SQL to perform UAT for data migrations, investigate data anomalies, and fix pipeline bugs. Write and update advanced SQL using window functions, common table expressions, and transformations (e.g. Flatten)
Security, Compliance and Vulnerability Management: Lead application security initiatives by integrating automated code quality and vulnerability assessments (e.g., SonarQube) into pipelines. Collaborate directly with Information Security (InfoSec) teams to navigate compliance audits, remediate security findings, and adhere to strict enterprise security guidelines
Qualification
Required
Bachelors in Computer Science, Engineering, Information Systems or related field OR Bachelor's degree with demonstrable coding experience
3+ years of experience in pipeline architecture, production deployment
4+ years of Python programming experience
3+ years of demonstrable experience supporting business intelligence/analytics stakeholders
Demonstrable experience handling data engineering tool migrations
Preferred
Tools: Snowflake, Databricks, Git, S3, Airflow, OpenShift (Kubernetes), Tableau, REST APIs, DBT
Data Modeling: previously built analytics apps with tools such as Tableau, PowerBI, or Qlik Sense
Benefits
Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Company
Red Hat
Red Hat is a software company that offers enterprise open-source software solutions. It is a sub-organization of IBM.
H1B Sponsorship
Red Hat has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (159)
2024 (148)
2023 (156)
2022 (181)
2021 (154)
2020 (106)
Funding
Current Stage
Public CompanyTotal Funding
unknown2018-10-28Acquired
1999-08-20IPO
1999-03-09Corporate Round
Leadership Team
Recent News
2026-01-23
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