Data Engineer
US$120,000 – US$140,000 / yr base salary
Posted 17 Sep 2026
Advertised as “Data Engineer II”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- II
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$120,000 – US$140,000 / yr |
|---|
About Us:
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work. Learn more at DailyPay's Press Center.
The Role:
DailyPay is looking for a Data Engineer II to join our Data Engineering Team. The Data Engineering Team is responsible for building the data infrastructure that underpins our data analytics and data products that are used cross-functionally inside the company (finance, sales, marketing, operations, engineering, etc.) as well as by DailyPay partner companies. The team also ingests internal and external data to help provide insights about the payroll industry in general, as well as about personal finance and financial wellbeing.
How You Will Make an Impact:
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Build and maintain company’s ETL and data pipelines
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Design and implement data testing and scaling capabilities
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Maintain and optimize monitoring and alerting for company’s ETL and data pipelines, data warehouse, and analytics infrastructure
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Optimize database performance while reducing warehouse costs and development times
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Participate in code approvals and PR review process for company-wide analytics engineering efforts
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Produce, support and maintain data reports, analytics, metrics and dashboards for internal and external use
What You Bring to The Team:
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4+ years SQL experience; expert SQL capability
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Interest in utilizing AI to develop more efficient systems, improve proactive alerting, and optimize query performance
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Experience in data storage architectures, including dimensional models, data lakes, data lake houses, and data warehouses
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1+ years of experience with dbt (Data Build Tool), including implementing data quality checks and testing frameworks
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Experience working in an event-driven architecture and cloud platforms (e.g. AWS, Azure, GCP)