Data Engineer II

• 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.

• 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.
• 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.

Pay range: $129K - $156K

• 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