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Dave is a publicly traded fintech (NASDAQ: DAVE) on a mission to provide affordable, transparent access to liquidity for underserved Americans. The company offers products like ExtraCash (up to $500 in minutes) and is launching new offerings including Buy Now Pay Later in 2026.
As a Data Engineer II, you'll build and maintain the data systems that power decision-making across Dave's platform. You'll work with experienced Data Engineers and cross-functional partners in Analytics, Data Science, Finance, Risk, Marketing, Product, and Engineering to own well-defined data engineering projects from implementation through production support.
Key responsibilities include:
- Building, maintaining, and improving reliable data pipelines that ingest, transform, and deliver data across Dave's platform
- Owning data engineering projects through implementation, testing, deployment, monitoring, and troubleshooting
- Working with Snowflake, dbt, Airflow/Cloud Composer, APIs, and cloud services to support production workloads
- Supporting warehouse development through schema design, data modeling, testing, documentation, and query optimization
- Improving ingestion, orchestration, validation, monitoring, and alerting to reduce operational overhead
- Leveraging AI-assisted engineering tools thoughtfully to accelerate development while maintaining strong standards
You'll need 2+ years of software or data engineering experience with production data systems, strong programming skills (Python, Java, or similar) and SQL, experience with ETL/ELT pipelines (dbt, Fivetran), and familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift) and orchestration tools (Airflow, Cloud Composer). A Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience) is required.
Bonus qualifications include experience with financial/regulated datasets, GCP technologies, streaming/event-driven pipelines, data observability, GraphDB/Neo4j, data governance, and supporting AI/ML workflows.
Success in this role means taking responsibility for outcomes, understanding downstream impact, making practical trade-offs between speed and reliability, and collaborating effectively across boundaries. You'll have meaningful ownership with support from experienced engineers and opportunities to grow your technical responsibility as priorities evolve.
