Senior Data Engineer

Senior Data Engineer PMO / Operations

You'll want to join Billings Clinic for our outstanding quality of care, exciting environment, interesting cases from a vast geography, advanced technology and educational opportunities. And you'll want to stay at Billings Clinic for the amazing teamwork, caring atmosphere, and a culture that values kindness, safety and courage. This is an incredible place to learn and grow. Billings, Montana, is a friendly, college community in the Rocky Mountains with great schools and abundant family activities. Amazing outdoor recreation is just minutes from home. Four seasons of sunshine! You can make a difference here.

Billings Clinic is a community-owned, not-for-profit, physician-led health system based in Billings with more than 4,700 employees, including over 550 physicians and non-physician providers. Our integrated organization consists of a multi-specialty group practice and a 304-bed hospital. Learn more about Billings Clinic and how we are recognized nationally for our exceptional quality.

Your Benefits

We provide a comprehensive and competitive benefits package to all full-time employees (minimum of 24 hours/week), including medical, dental, vision, 403(b) retirement plan with employer matching, defined contribution pension plan, paid time off, employee wellness program, and much more. Click here for more information or download the Employee Benefits Guide.

Magnet: Commitment to Nursing Excellence

Billings Clinic is proud to be recognized for nursing excellence as a Magnet-designated organization, joining only 97 other organizations worldwide that have achieved this honor four times. The re-designation process happens every four years. Click here to learn more!

Pre-Employment Requirements

All new employees must complete several pre-employment requirements prior to starting. Click here to learn more!

Shift: Day

Employment Status: Full-Time (.75 or greater)

Hours per Pay Period: 1.00 = 80 hours every two weeks (Exempt)

Starting Wage DOE: $42.96 - $53.70

Designs, builds, and operates end-to-end data products and pipelines that convert complex source data into trusted, well-documented, and governed datasets for analytics, operations, and AI/ML. The role blends software engineering, data modeling, and platform reliability to deliver secure, high-availability data services that accelerate decision-making while upholding privacy, security, and regulatory requirements (e.g., HIPAA/GDPR as applicable).

Essential Job Functions

• Data Product Delivery
• Own end-to-end delivery of domain datasets (intake - requirements - design - build - test - deploy - monitor) with defined SLAs/SLOs.
• Translate ambiguous asks into productized, reusable datasets with clear interfaces and lifecycle plans (versioning, deprecation).
• Data Modeling & Pipelines
• Design robust models (staging/core/marts/semantic) and implement scalable ELT/CDC/streaming patterns.
• Engineer idempotent, parameterized, and modular pipelines that support schema evolution and backfills/replays safely.
• Build datasets and services that power LLMs-RAG pipelines (chunking/embedding/vector search), prompt/response and feedback logs, grounding/attribution metadata, redaction/PII scrubbing, and evaluation sets for hallucination, faithfulness, and relevance.
• Data Contracts & Governance
• Author and maintain data contracts (grain, fields, quality thresholds, SLAs/SLIs) and uphold approved metric/semantic definitions.
• Ensure ownership, stewardship, lineage, and sensitivity classifications are complete and current in the data catalog.
• Quality Engineering & Validation
• Implement comprehensive test suites (constraint, referential, reconciliation, anomaly) and certify datasets prior to release.
• Drive defect prevention with root-cause analysis, preventive patterns, and quality gates in CI/CD.
• Observability, Reliability & Incident Response
• Build actionable monitoring/alerting and runbooks; lead triage for domain incidents and execute post-incident reviews.
• Improve MTTD/MTTR, data freshness, and success rates through error budgets, SLO dashboards, and automated remediations.
• Security, Privacy & Compliance
• Apply privacy-by-design (least-privilege access, masking/row-level filters, secrets)