Data Engineering Manager

**Candidates must be GC or USC and available for direct, FTE hire after 6 months contract.**

This role is for an Engineering Leader who will guide a small, high-performing team of data engineers, analysts, and BI developers within a large enterprise data organization. The focus is on delivering impactful data and analytics projects, including building data pipelines, modernizing legacy systems, and delivering executive dashboards. The right candidate must have a solid history of people leadership experience, not just technical leadership, while still working along side the team as an individual contributor.

This position has a defined leadership path. During the first 6 months, the Lead Engineer will be fully remote. At the 6-month mark this Lead will be promoted to Data Engineering Manager and required to relocate to Missouri and work a hybrid schedule (relocation assistance provided).

Top 4 Skills:

1. Data Engineering Leadership – Proven experience managing and mentoring technical teams.
2. Modern Data Stack Expertise – Snowflake, SQL, Python, ETL tools (dbt, Airflow).
3. BI & Analytics Development – Experience with Power BI, Tableau, or similar tools.
4. Enterprise Data Strategy Alignment – Strong stakeholder communication and alignment with business goals.

Responsibilities:

• Lead and mentor a small cross-functional team handling 3–4 simultaneous projects.
• Own project delivery from design through deployment.
• Engage in technical architecture and problem-solving discussions.
• Oversee projects involving:
• Data pipeline development and optimization.
• BI dashboard creation and maintenance.
• Modernization of legacy data/reporting systems.
• Supporting ad-hoc requests from leadership.
• Collaborate with leadership to align tech work with business strategy.
• Promote best practices in engineering and data operations.

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Qualifications:

• 7+ years in software/data engineering, including 4+ years in a lead role.
• Proficient in Snowflake, SQL, Python, and modern ETL tools (dbt, Airflow).
• Experience with BI tools like Power BI, Tableau, or Looker.
• Strong multitasking skills with the ability to balance strategic and tactical work.
• Excellent communicator with proven stakeholder collaboration experience.
• Ability to lead remote teams effectively and foster team growth.

Preferred:

• Experience with cloud platforms (GCP, AWS, Azure).
• Background in enterprise digital/data transformations.
• Exposure to ML or data science pipelines is a plus.