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Lead Data Engineering Manager - remote

Remote / Online - Candidates ideally in
Connecticut, USA
Listing for: Jobgether
Remote/Work from Home position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineering Manager - REMOTE. In this role, you will lead an innovative team responsible for enhancing the data lifecycle that supports machine learning processes. Your leadership will facilitate the operationalization of high-impact data strategies, streamlining workflows to ensure efficiency and quality.

You will champion the integration of advanced data practices, unlocking internal resources to drive innovation. The position embodies a strong commitment to collaboration across multiple teams, ultimately contributing to exceptional business outcomes in a digital-first environment.

Accountabilities
  • Set and execute the technical strategy aligned to metrics such as increasing data evaluation velocity.
  • Establish clear end-to-end ownership across the data lifecycle.
  • Accelerate third-party data onboarding through standardized practices.
  • Drive data quality frameworks to prevent launch issues.
  • Unlock internal data for ML innovation by improving metadata coverage.
  • Champion a company-wide shift towards data contracts and SLAs.
  • Build and lead a high-performing team in data integration and infrastructure.
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or Mathematics, or related field.
  • 8 years of engineering experience, with 3 years in a management role.
  • Proven experience in building and scaling data platforms ML workflows.
  • Demonstrated ownership of cross-functional engineering initiatives.
  • Experience designing and enforcing data quality frameworks and SLAs.
  • Strong technical foundation in modern data stacks and architectures.
Benefits
  • Competitive compensation package including salary, bonuses, and equity grants.
  • Generous 401(k) with matching contributions.
  • Employee Stock Purchase Plan (ESPP) with discounts on stock.
  • Affordable medical, dental, and vision coverage.
  • Health Savings Account contributions.
  • Paid time off, family leave, and company holidays.
  • Annual wellness and productivity allowances.
  • Employee Assistance Program (EAP) for mental health support.
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