Data Engineer developing scalable data pipelines for ETL/ELT processes using GCP services. Collaborating with team members to optimize data workflows and ensure data integrity.
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Hybrid Data Engineer – Early Career, Mid Career
Posted 4 months ago
About the role
- 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)*
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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