> Markdown version of [/jobs/ext/2718977-data-engineer-ii](https://www.wearedevelopers.com/jobs/ext/2718977-data-engineer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II - **Company:** DailyPay Inc - **Location:** New York, United States - **Contract:** Permanent contract - **Skills:** Query Performance, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, BigQuery, Business Software, Continuous Integration, Data Validation, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Python (Programming Language), Netsuite, Reverse Engineering, SQL Databases, Tableau (Software), Technical Data Management Systems, Workflow Management Systems, Data Processing, Google Cloud, Data Storage Technologies, Snowflake, Data Build Tool (dbt), Database Performance, Event Driven Architecture, Data Lakes, Looker Analytics, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/data-engineer-ii-dailypay-9016948 ## About the Role * 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 lakehouses, 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 BigQuery. * 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 Nice to Haves: * 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 NetSuite, 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 ## Description 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: * 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, * 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 DailyPay, 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, more innovative results. We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you'll find it here. If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Making Data Warehouses fast. 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