Staff Data Engineer

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. This is a hybrid position, based out of our Belfast office in Northern Ireland. 

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