YipitData

Data Engineering Manager

Rol remoto de Data Engineering con fit claro de ubicación del candidato.

Publicado19 jul 2026

Países elegibles21 países aceptados

Señal de seniorityLead

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

AustraliaBangladésCamboyaChinaRAE de Hong Kong (China)India+15 más

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

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

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.

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.

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.

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

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

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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