YipitData
Data Engineering Manager
Remote Data Engineering role with clear candidate location fit.
PostedJul 19, 2026
Eligible countries21 accepted countries
Seniority signalLead
Work settingRemote
Accepted candidate locations
Role overview
Data Engineering Manager
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Why Top Talent Chooses YipitData:
- Ownership That Matters: You’ll lead high-impact projects with real business outcomes
- Rapid Growth: We compress years of learning into months
- Merit Over Titles: Trust and responsibility are earned through execution, not tenure
- Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention
Why Top Talent Chooses YipitData:
- Own the design, build, and optimization of end-to-end data pipelines for our various strategic datasets.
- Establish and enforce best practices in data modeling, data pipelining, data architecture, and system reliability.
- Collaborate with product, engineering, and business stakeholders to translate requirements into robust, scalable data solutions.
- Work extensively with Databricks and various AI toolings for large-scale data processing and orchestration.
- Troubleshoot and resolve complex pipeline issues to ensure reliability and performance.
- Contribute to the team’s technical strategy, helping drive improvements in scalability, performance, and efficiency.
- Lead, mentor, and support engineers through challenges, code reviews, and project execution.
What We’re Looking For
- 6+ years of professional experience in Data Engineering or equivalent technical roles (e.g., data architecture, big data development, or ETL engineering).
- 2+ years of managerial experience, including mentoring, team leadership, and supporting delivery.
- Strong expertise in SQL and distributed data systems.
- Proficiency with PySpark and Databricks for processing and scaling large datasets.
- Hands-on experience with Airflow for pipeline orchestration (Dagster/dbt a plus).
- Proven track record of delivering in fast-paced, deadline-driven environments with minimal oversight.
- Strong problem-solving skills and ability to translate business needs into scalable technical solutions.
- Excellent communication and collaboration skills with both technical and non-technical stakeholders.
Nice to haves
- Experience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.
- Familiarity with Django or similar web frameworks to support data-driven applications.
As Our Data Engineering Manager You Will:
- Working with product team to bring an idea to reality
- Leveraging cutting edge technologies to solve complex data problems
- Helping to lead a team through different data models and architectural decisions
You Are Likely To Succeed If:
- Experience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.
- Experience building a reliable and efficient data pipelines
- Ability to meet tight deadlines in a fast paced environment
What We Offer:
- We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
- The annual salary for this position is anticipated to be $190,000 with a variable target up to 10% The compensation package also includes equity. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
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