Lead Data Engineer
Dave is a financial technology company.
Funding history
About Dave Operating LLC
Dave Operating LLC operates Dave, a consumer-focused financial technology app designed to make banking and cash management more accessible. Its products include ExtraCash, which provides eligible members up to $500 through an overdraft service; Dave Checking, with direct deposit, debit-card spending, early paycheck access, ATM access, and budgeting tools; and Goals accounts for organizing and tracking savings. Dave serves individual consumers, particularly people seeking help managing expenses between paychecks, and provides its services through a mobile application in partnership with FDIC-member banks.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the design, implementation, operation, and evolution of production data pipelines and core platform capabilities. You will build integrations, establish engineering patterns for quality and recovery, improve warehouse and orchestration workloads, and guide architecture decisions. You will mentor engineers, document standards, and create durable solutions that reduce operational burden.
Requirements
- 5+ years of software or data engineering experience with significant ownership of production data systems
- Strong Python and SQL skills
- Software engineering fundamentals including testing, code review, version control, and CI/CD
- Experience with a modern cloud data warehouse such as Snowflake, BigQuery, or Redshift
- Experience with orchestration and transformation frameworks such as Airflow/Cloud Composer and dbt
- Understanding of data modeling, incremental processing, data quality, observability, and production recovery
- Architecture judgment and technical leadership and mentorship experience
- Ability to clarify ownership and communicate technical and business trade-offs
Responsibilities
- Lead the design, implementation, operation, and evolution of production data pipelines and core platform capabilities
- Build and improve integrations across APIs, files, CDC and event sources, cloud services, and internal systems
- Establish patterns for data modeling, orchestration, testing, data quality, observability, retries, backfills, and recovery
- Improve Snowflake, dbt, and Airflow/Cloud Composer workloads for reliability, scalability, performance, and cost
- Lead technical design reviews and clarify system boundaries and architecture trade-offs
- Mentor engineers and create documentation, standards, and durable solutions
Benefits
- Flexible hours
- Virtual-first work culture
- Home office stipend
- Medical, dental, and vision insurance
- Paid parental and caregiver leave
- 401(k) plan with matching contributions
- Financial advisor and financial wellness support
- Flexible PTO
- Company holidays including Juneteenth and Winter Break
- All-company in-person and virtual events
