Data Engineer II

Dave

6d • $129,000 - $156,000 • Remote

About The Position

We’re hiring a Data Engineer II to help build and improve the data systems that power decision-making across Dave. You’ll develop reliable pipelines and platform capabilities while growing your ownership of production data systems and the business outcomes they support. Data is central to how Dave builds products, manages risk, understands our members, and makes decisions. In this role, you’ll work alongside experienced Data Engineers and partners across Analytics, Data Science, Finance, Risk, Marketing, Product, and Engineering. You’ll own well-defined data engineering projects from implementation through production support and help make our platform more reliable, scalable, and efficient. You’ll also have opportunities to apply AI-assisted development tools and support emerging AI initiatives as we evolve how we build and use data at Dave.

Requirements

• 2+ years of software or data engineering experience, including experience building or supporting production data systems.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• Strong programming skills in Python, Java, or another general-purpose language, plus strong SQL skills.
• Experience building or maintaining ETL/ELT pipelines and working with technologies such as dbt, Fivetran, or similar tools.
• Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift and orchestration tools such as Airflow or Cloud Composer.
• Understanding of data modeling, data quality, relational data, and query and performance optimization.
• Strong software engineering fundamentals, including version control, testing, code reviews, and CI/CD.
• Ability to troubleshoot production systems methodically and communicate effectively with technical and business partners.

Nice To Haves

• Experience with financial or other highly regulated datasets.
• Familiarity with GCP technologies such as Dataflow, Pub/Sub, and Cloud Storage.
• Exposure to streaming or event-driven data pipelines, data observability, or incident-management tooling.
• Familiarity with GraphDB/Neo4j, data governance, privacy, access controls, or PII handling.
• Experience supporting AI or machine learning data workflows, including pipelines, integrations, or data preparation for AI-powered applications.

Responsibilities

• Build, maintain, and improve reliable data pipelines that ingest, transform, and deliver data across Dave’s data platform.
• Own data engineering projects and pipelines through implementation, testing, deployment, monitoring, troubleshooting, and ongoing support.
• Work with Snowflake, dbt, Airflow/Cloud Composer, APIs, files, and cloud services to support production workloads and optimize them for reliability, performance, scalability, and cost.
• Support warehouse development through thoughtful schema design, data modeling, testing, documentation, data quality practices, and query optimization.
• Improve ingestion, orchestration, validation, retries, backfills, monitoring, and alerting while helping reduce recurring operational work.
• Use AI-assisted engineering tools thoughtfully to accelerate development, debugging, documentation, and analysis while maintaining strong standards for accuracy, security, review, and engineering judgment.

Benefits

• Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals
• Flexible hours and virtual-first work culture with a home office stipend
• Premium Medical, Dental, and Vision Insurance plans
• Generous paid parental and caregiver leave
• 401(k) savings plan with matching contributions
• Financial advisor and financial wellness support
• Flexible PTO and generous company holidays, including Juneteenth and Winter Break
• All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level