Data Engineer guiding evolution of data infrastructure at Infinitus. Building high-impact data solutions and collaborating with partner teams to enhance data delivery.
Responsibilities
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)*
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