Senior Data Engineering Manager

Turn2Partners

  • Washington, DC
  • 8 days ago
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    Skills

    • Apacheunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Business Intelligenceunmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Continuous Improvementunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Data Warehousingunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Engineering Managementunmatched
    • Financial Servicesunmatched
    • Leadershipunmatched
    • Microsoft Windows Azureunmatched
    • Performance Analysisunmatched
    • Power BIunmatched
    • Production Systemsunmatched
    • Python Programming/Scripting Languageunmatched
    • Reliability Engineeringunmatched
    • Requirements Managementunmatched
    • SQL (Structured Query Language)unmatched
    • Scalable System Developmentunmatched
    • Team Playerunmatched

    Description

    Role: Senior Data Engineering Manager (Individual Contributor)

    Location: Hybrid (Washington, DC Metro)

    Type: Full-Time

    About the Team:
    Join a technology team responsible for delivering modern cloud-based data platforms that support enterprise analytics and business decision-making. You'll work closely with engineering and business partners to build reliable, scalable data solutions in a collaborative environment.

    What You'll Do:

    • Lead the design, maintenance, and optimization of a modern cloud data platform.
    • Build and support scalable data pipelines, orchestration workflows, and automated data processing.
    • Develop high-quality data models and transformation frameworks for reporting and analytics.
    • Improve platform reliability, monitoring, and operational performance across production environments.
    • Partner with technical and business stakeholders to translate requirements into scalable solutions.
    • Support integrations between enterprise systems, APIs, and reporting platforms.
    • Mentor team members and promote engineering best practices across distributed teams.

    Core Tech & Skills:

    • Snowflake or Databricks
    • Microsoft Azure or other major cloud platforms
    • SQL
    • Python
    • Apache Airflow or similar workflow orchestration tools
    • dbt or modern data transformation frameworks
    • Power BI or enterprise BI platforms
    • ETL/ELT pipeline development
    • API and data integration experience
    • Data modeling and warehouse architecture

    Nice to Have:

    • Financial services or highly regulated industry experience
    • PySpark or distributed data processing
    • Exposure to AI-enabled analytics or data products
    • Experience working with globally distributed engineering teams
    • Strong stakeholder communication and leadership skills

    Why It's Great:

    • Own a highly visible enterprise data platform with significant business impact.
    • Work with modern cloud technologies and evolving data architecture.
    • Join a collaborative engineering culture that values ownership, innovation, and continuous improvement.

    Numbers & Facts

    LocationWashington, DC

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