Scientific Games
Senior Data Engineer
Alpharetta, Georgia, USA · Senior · full-time
Sponsorship not specifiedDetected 36 days ago
PythonCode ReviewSQLSnowflakeRedshiftDatabricksAWSCloud PlatformsKafkaSparkAirflowdbtData AnalysisData EngineeringData ScienceCommunication
About the role
- The ideal candidate is an experienced builder who improves data models, defines data contracts, and automates processes to reduce operational overhead.
- 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.
- Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries.
- We push game designs to the next level and are pioneers in data analytics and iLottery.
- Position Summary 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.
- You'll build and operate reliable data pipelines, improve data models, and ensure high-quality, scalable warehouse environments across legacy and cloud systems.
Requirements
- The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
- Strong background working in AWS or similar cloud environments Experience with batch and streaming ingestion, ETL / ELT, orchestration, transformation frameworks, and data quality controls.
- Experience with cloud data platforms, distributed processing, infrastructure as code, and modern data engineering practices.
- Ability to work with cross-functional teams Clear written and verbal communication
- 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.
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This listing is sourced directly from Scientific Games's careers page and normalized into a canonical job model.