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! About the Role 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. Responsibilities 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 ClickOps 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 (GitLab CI or GitHub 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 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. 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, GitHub 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. Qualifications BS or MS in Computer Science, Statistics, Math, or other STEM field — or equivalent practical experience. Practical experience wins ties. Must‑Haves 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. Nice‑to‑Haves Snowflake‑native ML (Snowpark, Cortex AISQL, Snowflake Notebooks) for in‑warehouse scoring or unstructured workloads. Iceberg / open-table-format experience for cross‑engine interoperability. Streaming experience — Kafka, Snowpipe Streaming, or Kinesis — with stated latency budgets. Reverse‑ETL exposure (Hightouch, Census, or custom) into operational marketing or product systems. A demonstrable track record of shipping more with AI in the loop than without — not “I have used Cursor,” but “this is how I design work for an agent to do.” Regulated‑industry experience (gaming, fintech, healthcare) — comfort with audit, lineage, and PII tiering. Compensation & Benefits Annual salary range: $135,000 to $170,000. Factors may affect starting pay within this range: geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance‑based bonus plan. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration‑related employment authorization sponsorship, including H‑1B, O‑1, E‑3, TN, OPT, etc. Gaming compliance & licensing requirements: At BetMGM, we comply with state gaming regulations, require licensing by at least one jurisdictional agency, and maintain compliance with background checks and responsible gambling policies. Equal Opportunity Employer BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination‑free work environment, fostering a culture of inclusivity, belonging, and equal opportunity for all employees and applicants. #J-18808-Ljbffr