The King of Sportsbooks
Senior Data Engineer
Location
Nebraska + 4 moreAll locations: Nebraska | Nevada | New Jersey | Minnesota | Missouri
Posted
15 hours ago
Salary
$135K - $170K / year
Seniority
Senior
Job Description
Senior Data Engineer
BetMGM
• Own the path from raw transactional and event data to trustworthy, well-modeled datasets powering BetMGM's analytics, ML, and operational systems. • Design, build, and operate batch, micro-batch, and streaming pipelines feeding Snowflake — Prefect-orchestrated flows on ECS Fargate, dbt for transformation, Snowpipe Streaming and Kafka for event ingestion. • Own the full dbt lifecycle (sources → staging → intermediate → marts) with model contracts, freshness SLAs, automated tests, and version-controlled documentation. • Stand up Snowflake objects (warehouses, RBAC, resource monitors, Dynamic Tables, Iceberg tables) through Terraform — no ClickOps in production. • Build AWS-native infrastructure for data workloads — S3, ECS Fargate, Lambda, EMR Serverless, Glue Catalog, IAM, Secrets Manager, VPC endpoints — entirely in Terraform. • Maintain CI/CD pipelines (GitLab CI or GitHub Actions) that gate every change with linting, dbt build, unit tests, contract checks, and AI-assisted code review. • Tune warehouse sizing, clustering, and query patterns for cost and latency; instrument credit usage via ACCOUNT_USAGE; right-size before scaling up. • Design RBAC, masking policies, and row-access policies that satisfy a regulated operator without becoming an access bottleneck. • Own freshness SLAs and data contracts for the gold layer; configure Monte Carlo coverage for volume, freshness, schema, and distribution; triage incidents end-to-end. • Collaborate with analytics engineers, data scientists, and ML platform engineers on shared standards (naming, testing, observability, lineage, cost attribution).
Job Requirements
- BS or MS in Computer Science, Statistics, Math, or other STEM field — or equivalent practical experience.
- 5+ years building production data pipelines on a modern stack (Python + SQL + dbt + cloud).
- Deep Snowflake — beyond SQL into administration: warehouse sizing, RBAC, resource monitors, Streams/Tasks, Dynamic Tables, secure data sharing, cost tuning via ACCOUNT_USAGE.
- Strong AWS — S3, ECS/Fargate, Lambda, IAM, Secrets Manager, VPC — plus production experience with at least one of EMR Serverless, Glue, or MWAA.
- Terraform for both cloud and Snowflake — you have owned IaC, not just touched it.
- Orchestration fluency — Prefect, Airflow, or Dagster — and an opinion about when each is the right tool.
- CI/CD ownership — you have built quality gates that block bad code, not just YAML pipelines that pass.
- Bias toward outcomes — you describe past work in terms of SLAs, incidents, and customers served, not tool checklists.
Benefits
- Medical, Dental, Vision, Life, and Disability Insurance
- 401(k) with company match
- Pre-tax spending accounts including health care FSA and commuter savings
- Flexible paid time off
- Professional development reimbursement and ongoing skills training opportunities
- Employee resource groups
- Swag, ticket giveaways, and more!
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