Data Engineer

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 with data analysts and product teams to improve data quality and accessibility
• Contribute to data quality monitoring and alerting to catch issues early
• Help instrument new product features and events alongside engineering and product teams
• Write readable, tested, well-documented SQL and Python code
• Participate in code reviews, give and receive constructive feedback
• Learn from senior engineers and contribute ideas to how we build and scale our data infrastructure

Requirements

• 1–4 years of experience in data engineering, analytics engineering, or a related role
• Solid SQL skills and working knowledge of Python
• Familiarity with data warehousing concepts and how data flows through a modern stack
• Some hands-on experience with tools like dbt, Airflow, Terraform, Snowflake, BigQuery, or Redshift
• Experience with data platforms in a cloud environment (AWS, Azure, or GCP)
• A curiosity-driven mindset — you ask questions, dig into problems, and enjoy figuring things out
• Good communication skills and comfort working cross-functionally
• Willingness to take ownership of tasks and follow through

Nice to Have

• Experience in gaming, entertainment, or high-volume consumer applications
• Familiarity with event tracking platforms like Segment or Amplitude

Diversity Commitment

We are focused on building a diverse and inclusive team. We welcome people of all backgrounds, experiences, abilities, and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.