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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. We are in the top 1% of hospitals internationally for receiving Magnet® Recognition consecutively since 2006.

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.

About Us

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 (https://www.billingsclinic.com/about-us/) about Billings Clinic (our organization, history, mission, leadership and regional locations) 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 (https://www.billingsclinic.com/careers/employee-benefits/) for more information ordownload the Employee Benefits Guide (https://ncstoragemlbillings.blob.core.windows.net/public/2021%20Billings%20Clinic%20Staff%20Benefits%20Guide.pdf) .

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 (https://www.billingsclinic.com/campaign-landing-pages/magnet/) to learn more!

Pre-Employment Requirements

All new employees must complete several pre-employment requirements prior to starting. Click here (https://billingsclinic.csod.com/ats/careersite/search.aspx?site=15&c=billingsclinic) to learn more!

Senior Data Engineer

PMO / OPERATIONS - 8732 (BILLINGS CLINIC N 27TH ST BUILDING)

req9434

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 management, audit/retention).

Partner with Compliance/Security on access reviews, data handling, and de-identification/tokenization for secondary use.

• Performance Engineering & FinOps

Profile and optimize workload performance (partitioning/clustering, materialization choices, scheduling) to meet refresh windows.

Track and reduce cost per successful run; recommend workload isolation and capacity strategies.

• CI/CD, IaC & Developer Experience

Automate builds, tests, deployments, and environment provisioning; enforce branching and review standards.

Publish reusable templates/components that shorten time-to-first-pipeline and increase team throughput.

• Backlog Management & Delivery Planning

Partner with product/analytics leads to groom and prioritize work; define Definition of Ready/Done and acceptance criteria.

Sequence dependencies across teams and environments; communicate risks, trade-offs, and timelines transparently.

• Documentation & Knowledge Sharing

Maintain clear technical docs, runbooks, and ADRs; provide examples and usage guidance that enable self-service.

Contribute to internal learning design clinics and elevate peer code quality via actionable reviews.

• Stakeholder Engagement

Facilitate demos and handoffs; ensure solutions meet clinical, operational, and financial needs with measurable outcomes.

Convert ad-hoc requests into governed, reusable assets with clear support and change processes.

Partner with BI analysts to refine requirements (grain, fields, filters, refresh cadence), agree on acceptance criteria, and execute a structured dataset handoff (schema, data dictionary, sample queries, SLA/ownership).

• Continuous Improvement & Innovation

Identify and retire legacy patterns; propose platform and process enhancements backed by data.

Pilot emerging approaches (e.g., anomaly detection, semantic layers) and formalize those that prove value.

Advance LLM data capabilities—standardize embedding refresh strategies, vector index maintenance, prompt/version governance, red-teaming datasets, and offline/online LLM eval harnesses (e.g., safety, bias, robustness).

Minimum Qualifications

Education

• B.S or equivalent degree in Computer Science, Information Systems, or related field

Experience

• 3–6 years in data engineering/analytics engineering/data warehousing with end-to-end delivery ownership.

• Clinical knowledge credit: Healthcare domain knowledge (e.g., HIM/coding lead, nursing informatics, revenue cycle) may substitute for years of experience when demonstrating strong data literacy and HIPAA/PHI practices.

• Core skills: Advanced SQL & Python for production data engineering; designing data contracts; CDC/incremental strategies; performance tuning.

• Cloud: Hands-on experience deploying and operating data workloads in a major cloud; cost/reliability trade-offs; IAM and secrets hygiene.

• Quality & security: Track record implementing validation suites, lineage/catalog practices, and privacy-by-design controls.

• Leadership: Mentors junior engineers; leads PR reviews; partners cross-functionally (analytics/product/clinical).

• Operations: Experience with SLOs/SLAs, incident response, and change control.

Or an equivalent combination of education and experience relating to the above tasks, knowledge, skills and abilities will be considered. Employees that require a licensed or certification must be properly licensed/certified and the licensure/certification must be in good standing.

Billings Clinic is Montana’s largest health system serving Montana, Wyoming and the western Dakotas. A not-for-profit organization led by a physician CEO, the health system is governed by a board of community members, nurses and physicians. Billings Clinic includes an integrated multi-specialty group practice, tertiary care hospital and trauma center, based in Billings, Montana. Learn more atwww.billingsclinic.com/aboutus (https://www.billingsclinic.com/about-us/)

Billings Clinic is committed to being an inclusive and welcoming employer, that strives to be kind, safe, and courageous in all we do. As an equal opportunity employer, our policies and processes are designed to achieve fair and equitable treatment of all employees and job applicants. All employees and job applicants will be provided the same treatment in all aspects of the employment relationship, regardless of race, color, religion, sex, gender identity, sexual orientation, pregnancy, marital status, national origin, age, genetic information, military status, and/or disability. To ensure we provide an accessible candidate experience for prospective employees, please let us know if you need any accommodations during the recruitment process.