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Data Engineering Manager

Data Engineering Manager

JobotUS
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Competitive compensation and benefits. Remote work. Flexible PTO.

This Jobot Job is hosted by : Brooke Meyer

Are you a fit? Easy Apply now by clicking the "Apply" button

and sending us your resume.

Salary : $160,000 - $231,000 per year

A bit about us :

We are an AI and Data Company that is helping marketers increase customers and value by providing powerful data insights. If you have a passion for data science, AI and machine learning- this could be a great match for you!

Why join us?

  • Stable, high-growth company in a resilient industry
  • Competitive compensation
  • Equity programs, 401(k), Open PTO + 10 paid holidays
  • Gym memberships, fun culture, hackathons, exec access, and more
  • Cutting-edge tech and high-impact projects
  • A place where your ideas and leadership will shape the future of AI

Job Details

  • ?? About the Role

    • We are looking for a people-first Engineering Manager to lead and grow our Data Engineering team. In this role, your primary focus will be building careers, removing obstacles, and enabling a culture where engineers thrive.

    You’ll work in close partnership with a seasoned technical lead responsible for architectural decisions — freeing you to focus on developing people, aligning strategy, and driving team performance.

    This is a great opportunity for a strong people manager who understands data engineering and is passionate about building and leading high-performing teams in a mission-driven environment.

  • ?? Key Responsibilities
  • ?? People Leadership
  • Lead, mentor, and retain a high-performing team of 5–7 data engineers
  • Conduct regular 1 : 1s, performance reviews, and career development planning
  • Create and communicate growth paths and development opportunities
  • Foster a culture of collaboration, learning, and operational excellence
  • Manage hiring, onboarding, and team composition
  • Identify and remove roadblocks, shielding the team from unnecessary distractions
  • Proactively address team dynamics and resolve conflicts constructively
  • ?? Technical Partnership
  • Collaborate with the technical lead to ensure architectural decisions align with strategy and scalability goals
  • Stay informed on emerging data engineering trends and assess their relevance
  • Promote high standards for code quality, design, and operational practices
  • Help balance technical trade-offs with business needs and priorities

    • Delivery & Process Management (20%)

  • Partner with Product Managers to ensure engineering commitments are realistic and achievable
  • Lead incident response efforts and coordinate blameless post-mortems
  • Maintain adherence to engineering standards and Agile processes
  • Monitor team health, velocity, and delivery risks
  • Facilitate sprint ceremonies, retrospectives, and cross-team coordination
  • ?? Qualifications & Experience
  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience
  • 7+ years in engineering with 5+ years in people management
  • Proven experience building and scaling engineering teams
  • Solid understanding of data engineering concepts (e.g., pipelines, data models)
  • Agile / Scrum leadership experience
  • Strong communication skills and the ability to bridge technical and business discussions
  • History of developing engineering talent and fostering career progression
  • High emotional intelligence and conflict resolution abilities
  • Technical Familiarity (You Understand, Not Implement) :
  • Big data tools (e.g., Spark, EMR, data pipelines)
  • Cloud infrastructure and cost management
  • Technical risk assessment and critical questioning skills
  • ? Preferred Qualifications
  • Experience in data-first or analytics-driven organizations
  • Proven success improving retention and team satisfaction
  • Experience scaling teams from ~5 to 10+ engineers
  • Background in fast-paced, resource-constrained environments
  • Strong track record partnering effectively with technical leads

    • Interested in hearing more? Easy Apply now by clicking the "Apply" button.

    Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

    Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

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    Data Engineering Manager • US