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. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Data Engineering Manager
Location
United States
Posted
11 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
This role involves leading an innovative team responsible for enhancing the data lifecycle that supports machine learning processes.
- 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.
Qualifications
- 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.
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.
Job 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 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.
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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