Scientific Games
Senior Data Engineer
Alpharetta, Georgia, USA · Senior · full-time
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About the role
- Improve ingestion, transformation, modeling, orchestration, observability, data quality, lineage, and access patterns.
- Experience working with data contracts, schema evolution, lineage, observability, access controls, and service-level expectations.
Responsibilities
- What This Person Will Do Design, build, and operate reliable data pipelines that move lottery data from operational systems into warehouse and analytics environments.
- Help define and implement data contracts covering schema, quality, timeliness, lineage, storage, access, and customer or jurisdiction constraints.
- Build repeatable onboarding patterns for new jurisdictions, games, data sources, and reporting needs.
- Partner with DBA, IT, product, application engineering, analytics, BI, and data science teams so source data is usable, trusted, and well-understood.
- Reduce KTLO work through automation, better monitoring, resilient pipeline design, infrastructure as code, and platform simplification.
- Mentor other engineers through design reviews, code reviews, documentation, pairing, and clear technical standards.
Requirements
- The ideal candidate is an experienced builder who improves data models, defines data contracts, and automates processes to reduce operational overhead.
- They prioritize data quality, reliability, and cost efficiency while developing a strong understanding of the lottery domain and its impact.
Skills
- Databricks, Snowflake, Python, Redshift, Glue, Spark, Airflow, dbt, Kafka, or similar data platform technologies.
Company info
- Metadata-driven or configuration-driven onboarding for new sources, jurisdictions, products, or customers.
- Scientific Games is hiring a Senior Data Engineer to help build and modernize the lottery data platform supporting reporting, analytics, data science, and future AI capabilities.
This listing is sourced directly from Scientific Games's careers page and normalized into a canonical job model.