Data Engineer

Data Engineer

Location:

Los Angeles or New York (Onsite)

Start Date:

Immediate
Salary Range: $80,000 - $95,000 / year

The Premier Lacrosse League (PLL) is a professional lacrosse league in North America, composed of 8 teams rostered with the best players in the world. Co‑founded by lacrosse superstar Paul Rabil and his brother, serial entrepreneur and investor Mike Rabil, PLL is backed by an investment group including Joe Tsai Sports, The Raine Group, Creative Artists Agency (CAA), and other top investors in sports and media.

The PLL is distributed through an exclusive media rights agreement with ABC, ESPN, ESPN2, and ESPN+.

• Stay Grounded
• Think Critically
• Be Helpful
• Encourage Creativity
• Persevere Through the Noise
• Operate Like an Owner

The Premier Lacrosse League is seeking a Data Engineer passionate about turning raw data into actionable insights that drive business decisions and elevate the sport of lacrosse. You will own our business intelligence infrastructure and lacrosse statistics pipelines, partnering with Marketing, Product, and Engineering teams to measure campaign effectiveness, analyze product features, and surface insights that inform strategy. This role sits at the intersection of sports analytics and business intelligence, giving you the opportunity to shape how data is collected, modeled, and consumed across the organization.

• Create and maintain dashboards and reports in Looker (or similar BI platforms) to enable teams to make data‑driven decisions.
• Design, build, and maintain robust ETL/ELT pipelines that power dashboards, statistics platforms, and reporting needs.
• Write complex, performant SQL queries against Big Query to answer ad‑hoc questions, build data models, and support self‑serve analytics.
• Collaborate with Marketing, Product, and Engineering to measure campaign performance, feature adoption, user behavior, and data quality.
• Build and maintain data pipelines for player and team statistics, supporting broadcast integrations and fan‑facing experiences.
• Leverage AI coding tools like Cursor or Claude Code to accelerate development and prototype solutions rapidly.
• Design scalable data models balancing performance and usability for downstream consumers.

• 3+ years of experience in data engineering, analytics engineering, or a related role.
• Expert‑level SQL skills with hands‑on experience querying and optimizing Big Query (or Snowflake/Redshift).
• Production experience with Looker or similar BI platforms.
• Fluency with AI coding assistants such as Cursor, Claude Code, or Codex.
• Python experience for data transformation, scripting, and pipeline development (preferred).
• Experience building and maintaining ETL/ELT pipelines using Fivetran, dbt, Airflow, or similar.
• Strong communication skills to translate technical findings into business insights.
• Curiosity about sports, fan behavior, and unique data challenges in live entertainment.
• Experience with sports statistics or media/entertainment data is a plus.

• $80,000 – $95,000 based on experience, seniority, and location.
• Annual bonus, health, life, dental, and vision insurance, 401(k) plan, equity sharing, mental health stipend, unlimited PTO, and paid parental leave.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.