$ cat jobs/data-engineer-ii-dailypay-a6d7534c4f18.json
Data Engineer II
About Us: DailyPay is transforming the way people get paid. As a worktech company and the industry’s leading on demand pay solution, DailyPay 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. DailyPay is headquartered in New York City, with operations throughout the United States as well as in Belfast. For more information, visit DailyPay's Press Center. http://www.dailypay.com/press 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: - 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 WHAT YOU BRING TO THE TEAM: - 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 arc
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