Data Engineer II

About Us:

Daily Pay is transforming the way people get paid. As a worktech company and the industry’s leading on demand pay solution, Daily Pay uses an award-winning technology platform to help America’s top employers build stronger relationships with their employees. This voluntary employee benefit enables workers everywhere to feel more motivated to work harder and stay longer on the job while supporting their financial well-being outside of the workplace.

Daily Pay is headquartered in New York City, with operations throughout the United States as well as in Belfast. For more information, visit Daily Pay's Press Center.

Daily Pay 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 Daily Pay 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.

• Build and maintain company’s ETL and data pipelines
• Design and implement data testing and scaling capabilities
• Maintain and optimize monitoring and alerting for company’s ETL and data pipelines, data warehouse, and analytics infrastructure
• Optimize database performance while reducing warehouse costs and development times
• Participate in code approvals and PR review process for company-wide analytics engineering efforts
• Produce, support and maintain data reports, analytics, metrics and dashboards for internal and external use

• 4+ years SQL experience; expert SQL capability
• Interest in utilizing AI to develop more efficient systems, improve proactive alerting, and optimize query performance
• Experience in data storage architectures, including dimensional models, data lakes, data lake houses, and data warehouses
• Experience working in an event-driven architecture and cloud platforms (e.g. AWS, Azure, GCP)
• Experience working with large volumes of data, making models performant and scalable
• Familiarity with BI tools (e.g Tableau, Looker, or similar)
• Excellent presentation and communication skills
• Experience with MPP data warehouses, such as Snowflake or Big Query.
• Familiarity with ETL tools, such as Fivetran or Stitch
• Ability to reverse-engineer legacy reports and rebuild them into structured, automated solutions
• Excellent skills in explaining technical data concepts to non-technical finance and operations partners

• Familiarity with Python, Go, or similar languages for custom data processing and automation
• 1+ years of experience with dbt (Data Build Tool), including implementing data quality checks and testing frameworks
• Experience working with financial/accounting data or platforms such as Net Suite
  , Sage, or similar ERP systems
• Experience with CI/CD, automated releases, and orchestration tools like Airflow
• Familiarity with reverse ETL tools (e.g.,
  Hightouch or Census) to push data from the warehouse into business applications

• Exceptional health, vision, and dental care
• Opportunity for equity ownership
• Life and AD&D, short- and long-term disability
• Employee Assistance Program
• Employee Resource Groups
• Fun company outings and events
• Unlimited PTO
• 401K with company match

High-performing cultures aren't built in silos, they thrive on partnership. At Daily Pay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don't live "single-issue lives," and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.

In our high-trust environment, we empower you to Challenge Norms
. We've created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better,…