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 Senior Data Engineer 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.
If this opportunity excites you, we encourage you to apply even if you do not meet all of the qualifications.
How You Will Make an Impact:
- Build and maintain company’s ETL/ELT infrastructure and data pipelines
- Design and implement data testing / scaling capabilities for data pipelines
- Maintain and optimize monitoring and alerting for company’s ELT, 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
- Architect data lakehouse for DailyPay to use as the single source of truth for internal and external client reporting/analytics
What You Bring to The Team:
- 7+ years SQL experience; expert SQL capability
- Familiarity with BI tools such as Tableau, Looker, Metabase or similar
- Experience in Data Architecture for Dimensional Models, Data Lakes and Data Lakehouses
- Excellent communication skills including experience speaking to technical and business audiences and working globally
- 2+ years Python experience
- 1+ years of dbt experience
- Experience with Snowflake, Redshift, and ETL tools like Fivetran, Qlik Replicate or Stitch is a plus
What We Offer:
- 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
Pay Transparency. DailyPay takes a market-based approach to compensation, which may vary depending on your location. United States locations are categorized into three tiers based on a cost of labor index for that geographic area. The salary ranges are listed by geographic tier. Additionally, this role may be eligible for variable incentive compensation and stock options. Where a candidate fits within the compensation range for a role is based on their demonstrated experience, qualifications, skills, and internal equity.
New York City
$145,000—$194,000 USD
Remote, Premium (California, Connecticut, Washington D.C., New Jersey, New York, Massachusetts, Washington)
$133,000—$178,000 USD
Remote, Standard
$126,000—$169,000 USD
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 organization 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 encourage people of all backgrounds to join us on our mission. If you require reasonable accommodation for any aspect of the recruitment process, please send a request to [email protected]. All requests for accommodation will be addressed as confidentially as practicable.
DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.
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