Principal Data Engineer - Sales Data Management; Raleigh Office

Red Hat’s Global Sales Go‑To‑Market Strategy, Incentives & Data Analytics organization is seeking a Principal Data Engineer to work with a high degree of autonomy to lead the integration, automation, and optimization of complex data solutions. In this role, you will move beyond simple execution to provide technical leadership in data massaging, reconciliation, and architectural design. You will be responsible for building robust data pipelines, ensuring data governance, and collaborating with cross‑functional teams to deliver high‑quality data products that drive business decisions.

• Advanced SQL Development:
  Write complex, highly optimized SQL queries across large datasets. You will be the subject matter expert for SQL query tuning and providing performance recommendations to the wider team.
• Python Automation: utilize advanced Python proficiency (including libraries such as Pandas and Num Py) to clean, massage, and merge raw datasets, automating complex data extraction and loading processes.
• Pipeline Orchestration:
  Design, schedule, and monitor robust data pipelines using tools like Airflow. You will take ownership of debugging workflows and resolving performance bottlenecks.
• Data Stewardship:
  Act as a guardian of data integrity. This includes leading initiatives on data governance, compliance, transformation, and validation audits.
• Automated Testing & CI/CD:
  Develop and maintain automated unit, end‑to‑end, and integration tests to ensure data accuracy. Participate actively in version control (Git) and CI/CD processes for deploying pipeline changes across environments.
• Cross‑Functional Leadership:
  Partner with Analysts, Engineers, and Operations teams to understand data needs and ensure data accessibility for business stakeholders from the finance and operations organizations.
• Problem Solving:
  Apply strong analytical skills to translate complex algorithms into efficient software solutions, converting raw data into actionable insights by identifying trends, outliers, and distributions.

• Experience:
  
  5+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in an enterprise environment with large, complex data sources.
• Education:
  
  Master’s degree in Computer Science, IT, Engineering, or equivalent experience.
• Expert SQL:
  Deep expertise in relational databases (Postgre
  
  SQL, MSSQL, etc.) and query optimization.
• Expert Python:
  Strong programming skills for data querying, cleaning, and presentation, with hands‑on experience in data‑centric libraries.
• Modern Stack
  
  Experience:
  
  Working knowledge of DBT (Data Build Tool) and Snowflake data warehousing is highly desirable.
• ELT/ETL Tools:
  Experience with Fivetran or similar integration tools.
• Autonomy:
  Ability to manage multiple projects simultaneously in a fast‑paced, distributed team environment across different time zones and cultures.
• Troubleshooting:
  Exceptional logic and reasoning skills to troubleshoot complex data issues.
• Planning:
  Ability to think strategically about data architecture and project planning.

The salary range for this position is $ - $. Actual offer will be based on your qualifications.

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote‑US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

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. Spread across 40+ countries, our associates work flexibly across work environments, from in‑office, to office‑flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure.

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