DailyPay provides an industry-leading earned wage access platform that gives your employ...
DailyPay, Inc. is transforming the way people get paid. As 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.
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 (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 Produce, support and maintain data reports, analytics, metrics and dashboards for internal and external use 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 What You Bring to The Team:
5+ years SQL experience; expert SQL capability 1+ years of dbt experience preferred Familiarity with BI tools such as Tableau, Looker, or similar Excellent presentation and communication skills Experience in Data Architecture for Dimensional Models, Data Lakes and Data Lakehouses Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP) Experience with Snowflake, Redshift, and ETL tools like Fivetran or Stitch is a plus Nice to Haves:
Python experience is a plus What We Offer:
Competitive compensation Opportunity for equity ownership Private health insurance option Employee Resource Groups Fun company outings and events Pay Transparency:
DailyPay takes a market-based approach to compensation, which may vary depending on your location. Additionally, this role may be eligible for variable incentive compensation in addition to stock options. Where a candidate fits within the compensation range for a role is based on their demonstrated experience, qualifications, skills and internal equity. DailyPay is committed to fostering an inclusive, equitable culture of belonging, grounded in empathy and respect, which values openness to opinions, awareness of lived experiences, fair treatment and access for all. We strive to build and develop diverse teams to create an organisation where innovation thrives, where the full potential of each person is engaged, and their views, beliefs and values are integrated into our ways of working. We are an equal opportunities employer and welcome applications from all sections of the community.
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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 (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 Produce, support and maintain data reports, analytics, metrics and dashboards for internal and external use 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 What You Bring to The Team:
5+ years SQL experience; expert SQL capability 1+ years of dbt experience preferred Familiarity with BI tools such as Tableau, Looker, or similar Excellent presentation and communication skills Experience in Data Architecture for Dimensional Models, Data Lakes and Data Lakehouses Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP) Experience with Snowflake, Redshift, and ETL tools like Fivetran or Stitch is a plus Nice to Haves:
Python experience is a plus What We Offer:
Competitive compensation Opportunity for equity ownership Private health insurance option Employee Resource Groups Fun company outings and events Pay Transparency:
DailyPay takes a market-based approach to compensation, which may vary depending on your location. Additionally, this role may be eligible for variable incentive compensation in addition to stock options. Where a candidate fits within the compensation range for a role is based on their demonstrated experience, qualifications, skills and internal equity. DailyPay is committed to fostering an inclusive, equitable culture of belonging, grounded in empathy and respect, which values openness to opinions, awareness of lived experiences, fair treatment and access for all. We strive to build and develop diverse teams to create an organisation where innovation thrives, where the full potential of each person is engaged, and their views, beliefs and values are integrated into our ways of working. We are an equal opportunities employer and welcome applications from all sections of the community.
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