Data Engineer II

1 hour agoSeniorSalary: 129K - 156KUnited States Remote Full Time Data Science Jobs by Dave Operating LLC

Dave Operating LLC

Dave is a financial technology company.

Series B0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/2/2026

Los Angeles, USA

Funding history

Unknown ($100M)Unknown ($210M)Unknown ($100M)

Investors

CreditEase Section 32 FTX Ventures Norwest Venture Partners Alameda Research

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.

View jobs by Dave Operating LLC

Skills

Candidate Availability

Remote · United States · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You build and improve reliable data pipelines that ingest, transform, validate, and deliver data. You own projects through implementation, testing, deployment, monitoring, troubleshooting, and ongoing production support. You work with Snowflake, dbt, Airflow, APIs, files, and cloud services while improving reliability, performance, scalability, and cost. You also contribute to schema design, data modeling, documentation, data quality, query optimization, alerting, backfills, and AI-assisted engineering workflows.

Requirements

2+ years of software or data engineering experience 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.
Strong SQL skills.
Experience building or maintaining ETL or ELT pipelines with dbt, Fivetran, or similar tools.
Experience with Snowflake, BigQuery, or Redshift and Airflow or Cloud Composer.
Understanding of data modeling, data quality, relational data, query optimization, and performance optimization.
Experience with version control, testing, code reviews, and CI/CD.
Ability to troubleshoot production systems methodically and communicate effectively with technical and business partners.

Responsibilities

Build, maintain, and improve reliable data pipelines.
Own data engineering projects through implementation, testing, deployment, monitoring, troubleshooting, and production support.
Work with Snowflake, dbt, Airflow or Cloud Composer, APIs, files, and cloud services.
Design schemas and data models and improve data quality and query performance.
Improve ingestion, orchestration, validation, retries, backfills, monitoring, and alerting.
Use AI-assisted engineering tools for development, debugging, documentation, and analysis.

Benefits