About Us: 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 Staff 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: 10+ years SQL experience; expert SQL capability Proven experience as a Staff or Principal Data Engineer, with a track record of designing and implementing data solutions Experience in Data Architecture for Dimensional Models, Data Lakes and Data Lakehouses Experience designing, building and operating robust distributed data platforms (HBase, Spark, Hive, Kafka, Flink etc.) Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP) Familiarity with data governance and security best practices Experience designing and deploying high performance systems with reliable monitoring and logging practices Excellent communication skills including experience speaking to technical and business audiences and working globally 2+ years Python experience 2+ years of dbt experience Experience with Snowflake, Redshift, and ETL tools like Fivetran, Qlik Replicate or Stitch is a plus What We Offer: Competitive compensation Opportunity for equity ownership Private health insurance option Employee Resource Groups Fun company outings and events Generous PTO Allowance 5% Pension contribution #BI-Remote #LI-Remote 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. Belfast Compensation Range £78,000-£105,000 GBP DailyPay does not accept and will not review unsolicited resumes from search firms. 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. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process, click the Apply button below to Login/Register. Benefits: Work From Home
