Data Engineer II

DailyPay; New York (NY); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Health, vision, and dental care

Equity ownership

Life and AD&D, short- and long-termDis

Employee Assistance Program

Employee Resource Groups

Fun company outings and events

Unlimited PTO

401K with company match

Job summary

DailyPay is seeking a Data Engineer II to join our Data Engineering Team in New York. You will design and build our ETL pipelines and data infrastructure that power analytics and data products used across finance, sales, marketing, and operations.

This role focuses on optimizing database performance, reducing warehouse costs, and enabling scalable data models. You will implement data quality checks with dbt, work in an event-driven, cloud-based environment (AWS/GCP/Azure), and develop dashboards

Qualifications

• 4+ years SQL experience; expert SQL capability.
• Interest in using AI to develop more efficient systems, improve proactive alerting, and optimize query performance.
• Experience with data storage architectures, including dimensional models, data lakes, data lake houses, and data warehouses.
• 1+ years of experience with dbt (Data Build Tool), including implementing data quality checks and testing frameworks.
• Experience working in an event-driven architecture and cloud platforms (e.g. AWS, Azure, GCP).
• Experience working with large volumes of data, making models performant and scalable.
• Familiarity with BI tools (Tableau, Looker, or similar).
• Excellent presentation and communication skills.
• Experience with MPP data warehouses, such as Snowflake or BigQuery.
• Familiarity with ETL tools, such as Fivetran or Stitch.
• Ability to reverse-engineer legacy reports and rebuild them into structured, automated solutions.
• Excellent skills in explaining technical data concepts to non-technical finance and operations partners.

Responsibilities

• 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.

Skills

SQL

AI for optimization

Big data concepts

Data warehousing concepts

Data quality checks

BI tools

Communication

Event-driven architecture

Tools

dbt

AWS/Azure/GCP

Data lakes / lakehouse / data warehouses

Snowflake / BigQuery

Fivetran / Stitch

Airflow

CI/CD tooling

Job description

About Us

DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world’s most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at 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 (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 architectures, including dimensional models, data lakes, data lake houses, and data warehouses
• 1+ years of experience with dbt (Data Build Tool), including implementing data quality checks and testing frameworks
• Experience working in an event-driven architecture and cloud platforms (e.g. AWS, Azure, GCP)
• Experience working with large volumes of data, making models performant and scalable
• Familiarity with BI tools (e.g Tableau, Looker, or similar)
• Excellent presentation and communication skills
• Experience with MPP data warehouses, such as Snowflake or BigQuery.
• Familiarity with ETL tools, such as Fivetran or Stitch
• Ability to reverse-engineer legacy reports and rebuild them into structured, automated solutions
• Excellent skills in explaining technical data concepts to non-technical finance and operations partners

Nice To Haves

• Familiarity with Python, Go, or similar languages for custom data processing and automation
• Experience working with financial/accounting data or platforms such as NetSuite, Sage, or similar ERP systems
• Experience with CI/CD, automated releases, and orchestration tools like Airflow
• Familiarity with reverse ETL tools (e.g., Hightouch or Census) to push data from the warehouse into business applications

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

High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.

In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.

We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here.

If you require reasonable accommodation for any aspect of the recruitment process, please send a request to [e-mail]. 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.

Compensation Range: $120K - $140K