Hybrid Data Engineer – Early Career, Mid Career

Posted 3 weeks ago

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About the role

  • Create the systems, standards, and mentorship that empower partner teams and unlock new, scalable use cases for data.
  • Help define our data architecture and pipeline design as we grow. Owning data engineering best practices and platform design.
  • Collaborate with partner teams to enable faster consistent data delivery and reliable metrics.
  • Help partner teams design better systems, access better insights, and ship better data solutions through tooling, guidance, and training.
  • Expand and maintain deployment processes, testing, monitoring, and documentation that let us ship confidently.

Requirements

  • 3+ years of experience in data engineering, analytics engineering, or a hybrid role spanning both
  • Deep fluency in SQL, with experience writing modular, maintainable code in dbt (or similar frameworks)
  • Strong experience with Python, Scala, or another data processing language
  • Experience with data modeling and data architecture
  • Hands-on with data warehouses (BigQuery, Snowflake, Redshift, etc.), relational databases (PostgreSQL, MySQL, etc.), and NoSQL databases (Firestore, DynamoDB, MongoDB, etc.)
  • Experience with data pipeline orchestration tools (Airflow, Prefect, Dagster, etc.)
  • Comfortable exploring ambiguity and translating business requirements into well-defined data solutions
  • Experience supporting Product, Data Science, and Analytics teams with data infrastructure
  • Excited to help others grow in their use of our data warehouse

Benefits

  • Competitive salary, equity, and 401(k)
  • Wellness stipend & great benefits (medical, dental, vision)
  • Generous PTO & parental leave
  • Bi-annual offsites & a collaborative, mission-driven culture
  • Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (*Bay Area Positions only)*

Job title

Data Engineer – Early Career, Mid Career

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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