Remote Senior Data Engineer Manager

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.

• 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.

• 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 for 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.

• 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.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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