Data Engineer
ARB Interactive - United States | Remote
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Engineer United States | Remote We are ARB Interactive, the team behind Modo Casino, one of the top Social+ platforms in the US. Founded in 2022, we've grown to nearly 200 team members and were named one of LinkedIn's 2025 Top 50 Startups in the United States. We move fast, think big, and love bold ideas that push boundaries (and buttons). From new rewards to fresh game mechanics, every challenge is a chance to innovate and have fun doing it. Our culture is collaborative, curious, and full of laughter because great ideas grow best between coffee, code, and a few epic high-fives. SUMMARY We're looking for a Data Engineer to join our growing data team and help build the foundation of our modern data stack. This is a hands-on role where you'll work alongside senior engineers and analysts to design reliable pipelines, model clean datasets, and make data more accessible across the business. At a company our size, you won't be given a narrow slice of the stack. You'll work across the full data lifecycle, contribute to tooling decisions, and build relationships with every function that relies on data. This is a great fit if you're eager to deepen your craft, move fast, take ownership of meaningful work, and grow in an environment that values good engineering and real-world impact. RESPONSIBILITIES - Build and maintain ETL/ELT pipelines that move and transform data reliably across our stack - Model clean, well-documented datasets to support analytics, reporting, and experimentation - Collaborate
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