Senior Analytics Engineer — Data Pipelines for Gaming Policy

NBA NBA; New York (NY); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

Wellbeing allowance

Educational assistance

401(k) retirement plan

Job summary

The NBA’s Basketball Strategy & Growth department is seeking an analytics engineer to own the ingestion and transformation of the data that powers the Integrity Team’s work on the league’s gaming policy.

The role is responsible for turning disparate and inconsistent external feeds — data from betting partners and operators, open‑source intelligence (OSINT), and third‑party vendors — into well‑modeled, tested, and documented datasets, and for integrating those feeds with internal league

Qualifications

• Advanced SQL and analytical data modeling experience in production
• Production experience with dbt, testing, documentation, and DAG management
• Experience with Snowflake, performance/cost management, and data warehousing best practices
• Experience integrating data from multiple external partners/vendors and building reusable analytical datasets

Responsibilities

• Own ingestion of data from betting partners, operators, and vendors and normalize into a conformed model
• Build and maintain OSINT pipelines and entity resolution for linking identities to accounts
• Integrate external data with internal league data for game-context analysis
• Develop production-ready analytical data models in dbt on Snowflake with dimensional modeling
• Create curated pipelines and datasets to support data science and ML workflows
• Implement automated data quality tests, monitoring, and reconciliation checks

Skills

Advanced SQL

dbt

Snowflake

Python

Data modeling

ETL pipelines

Education

Bachelor's degree in a technical field

Master's degree preferred

Tools

Snowflake

Airflow

GitHub

Databricks

Dagster

Job description

The NBA’s Basketball Strategy & Growth department is seeking an analytics engineer to own the ingestion and transformation of the data that powers the Integrity Team’s work on the league’s gaming policy.

The role is responsible for turning disparate and inconsistent external feeds — data from betting partners and operators, open‑source intelligence (OSINT), and third‑party vendors — into well‑modeled, tested, and documented datasets, and for integrating those feeds with internal league