Senior Data Engineer

Benefits and Perks

• 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!

The Senior Data Engineer will own the path from raw transactional and event data to trustworthy, well-modeled datasets powering BetMGM's analytics, ML, and operational systems. Builds on an AWS + Snowflake stack — Prefect on ECS Fargate for orchestration, dbt for transformation, Terraform for everything, CI/CD pipelines with quality gates that block bad code.

Comfortable directing AI coding agents (Claude Code, Cursor, Copilot, dbt Copilot, Snowflake Cortex Code) as a force multiplier across the engineering workflow — PR review, model authoring, test generation, incident triage. Strong opinions about what belongs in the warehouse vs. the orchestrator vs. the platform, and the seniority to push back when a request shouldn't be built the way it was asked.

• Pipeline & Platform Engineering
  • 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 Click Ops in production.
• AWS Platform Ownership
  • 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 (Git Lab CI or Git Hub Actions) that gate every change with linting, dbt build, unit tests, contract checks, and AI‑assisted code review.
• Snowflake Depth
  • Tune warehouse sizing, clustering, and query patterns for cost and latency; instrument credit usage via ; right‑size before scaling up.
  • Design RBAC, masking policies, and row‑access policies that satisfy a regulated operator without becoming an access bottleneck.
  • Bring newer Snowflake capabilities to bear — Dynamic Tables, Snowpipe Streaming, Iceberg, Cortex AISQL — when they are the right answer, not because they are new.
• Data Quality & Observability
  • 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.
  • Treat the warehouse as a product: every consumer‑facing model has tests, documentation, an owner, and a defined SLO.
• AI in the Engineering Loop
  • Direct AI coding agents (Claude Code, Cursor, Git Hub Copilot, dbt Copilot, Snowflake Cortex Code) as a force multiplier — writing specs, decomposing work, reviewing AI‑generated PRs, and owning the architectural decisions agents cannot make.
  • Help the team raise its ceiling on what is possible with AI in the loop, not just its baseline productivity.
• Collaboration
  • Partner with analytics engineers, data scientists, and ML platform engineers on shared standards (naming, testing, observability, lineage, cost attribution).
  • Work alongside Entain India and contractor engineering partners; level them up on the standard playbook so the same code review, IaC, and CI/CD norms apply everywhere.
  • Translate stakeholder requests into the right shape — push back when a request should not be built the way it was asked.

BS or MS in Computer Science, Statistics, Math, or other STEM field — or equivalent practical experience. Practical experience wins ties.

• 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 .
• Strong AWS — S3, ECS/Fargate, Lambda, IAM, Secrets Manager, VPC — plus production experience with at least one of EMR Serverless, Glue, or MWAA.
• Terraform…