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Senior Data Engineer

Scientific Games


Job Location:

Alpharetta, GA - USA

Monthly Salary: Not provided by the employer
Posted: 11 July 2026 (30+ days ago)
Application Deadline: 8 October 2026
Vacancies: 1 Vacancy

Job Summary

Scientific Games:

Scientific Games is the global leader in lottery games sports betting and technology and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships Scientific Games combines relentless innovation legendary performance and unwavering security to responsibly propel the global lottery industry ever forward.

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.

Youll build and operate reliable data pipelines improve data models and ensure high-quality scalable warehouse environments across legacy and cloud systems.

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.

What This Person Will Do

  • Design build and operate reliable data pipelines that move lottery data from operational systems into warehouse and analytics environments.

  • Improve ingestion transformation modeling orchestration observability data quality lineage and access patterns.

  • 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.

  • Troubleshoot production data issues and help create durable fixes rather than recurring manual workarounds.

  • Support the transition from legacy approaches to a more scalable cloud- and AI-ready data architecture while protecting business continuity.

  • Mentor other engineers through design reviews code reviews documentation pairing and clear technical standards.

Qualifications

What Success Looks Like

  • Make pipelines more observable with earlier failure detection and clearer data quality standards

  • Establish repeatable patterns for onboarding new data sources

  • Increase confidence in data accuracy lineage timeliness and usability

  • Apply strong business context to technical decisions across reporting analytics and AI use cases

  • Continuously improve systems by enhancing tests monitoring lineage documentation and reducing manual effort

Experience That Fits

  • 5-7 years of Data Engineering Data Platform or Data Warehousing experience

  • Extensive SQL and data modeling skills including experience with analytical reporting and operational data use cases.

  • 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 working with data contracts schema evolution lineage observability access controls and service-level expectations.

  • Experience improving legacy data platforms while maintaining production continuity.

  • Experience troubleshooting complex production data issues and turning recurring problems into durable fixes.

  • 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; able to explain data behavior tradeoffs and risks to technical and non-technical partners.

Especially Useful Backgrounds

  • Lottery Gaming Payments Financial Systems Regulated Transactional Systems or other high-reliability data environments.

  • Multi-tenant jurisdiction-specific customer-specific or contractually segmented data environments.

  • Databricks Snowflake Python Redshift Glue Spark Airflow dbt Kafka or similar data platform technologies.

  • Metadata-driven or configuration-driven onboarding for new sources jurisdictions products or customers.


Physical 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. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job the employee is regularly required to sit stand walk bend use hands operate a computer and have specific vision abilities to include close and distance vision and ability to adjust focus working with computer and business equipment.


Work Conditions

Scientific Games LLC and its affiliates (collectively SG) are engaged in highly regulated gaming and lottery businesses. As a result certain SG employees may among other things be required to obtain a gaming or other license(s) undergo background investigations or security checks or meet certain standards dictated by law regulation or order to ensure SG complies with its regulatory and contractual commitments as a condition to hiring and continuing to employ its employees SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with SG (to the extent permitted by law) you shall be asked to consent to SG conducting a due diligence/background investigation on you.

This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.

SG is an Equal Opportunity Employer and does not discriminate against applicants due to race color sex age national origin religion sexual orientation gender identity status as a veteran and basis of disability or any other federal state or local protected class. If youd like more information about your equal employment opportunity rights as an applicant under the law please click here for EEOC Poster.


Required Experience:

Senior IC


About Company

Company Logo

About Scientific Games Scientific Games Corporation (NASDAQ:SGMS) is a leading developer of technology-based products and services and associated content for worldwide gaming, lottery and interactive markets. The Company's portfolio includes gaming machines, game content and systems; ... View more

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