Health Plan Analytics Engineer

Samaritan Health Services
Corvallis, OR, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$77,813.0 - $116,730.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Data Analysis Health Informatics Clinical Data Repository Continuous Integration Data Architecture Data Files Data Governance Extract Transform Load (ETL) Data Transformation Healthcare Effectiveness Data and Information Set Performance Tuning
+13 more
Power BI Software Engineering SQL Databases Tableau (Software) Technical Data Management Systems Software Repository Data Layers Information Technology Data Lineage Data Analytics Looker Analytics Software Version Control Data Pipelines

Job description

This is a remote position in which we are able to employ in the following states: Alabama, Alaska, Arizona, Arkansas, Connecticut, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, or Wisconsin

  • Our ideal Analytics Data Engineer candidate will have:
  • Deep experience designing, building, and optimizing scalable data pipelines that support healthcare analytics, population health, quality measurement, and regulatory reporting within a health plan environment.
  • Expert in integrating and transforming complex healthcare data sources-including claims, enrollment, clinical (EHR), pharmacy, eligibility, and social determinants of health-into reliable, analyticsready datasets.
  • Proven partner to analytics, actuarial, clinical, and business teams, enabling insights for valuebased care, HEDIS, STARS, CMS, and state reporting.
  • Experience in data architecture, ETL/ELT development, data quality governance, and performance optimization, with a strong focus on accuracy, compliance, and data lineage.
  • Skills in translating business requirements into technical solutions that improve efficiency, scalability, and decisionmaking across the organization.
  • ., LIFT (Floor to Waist: 0”-36”) 0 - 20 Lbs LIFT (Knee to chest: 24”-54”) 0 - 20 Lbs LIFT (Waist to Eye: up to 54”) 0 - 20 Lbs CARRY 1-handed, 0 - 20 pounds BEND FORWARD at waist KNEEL (on knees) STAND WALK - LEVEL SURFACE ROTATE TRUNK Standing REACH - Upward PUSH (0 - 20 pounds force) PULL (0 - 20 pounds force) SIT CARRY 2-handed, 0 - 20 pounds ROTATE TRUNK Sitting REACH - Forward MANUAL DEXTERITY Hands/wrists FINGER DEXTERITY PINCH Fingers GRASP Hand/Fist

Requirements

  • Bachelor’s degree in a quantitative field (e.g., computer science, data science, statistics, or equivalent) required.
  • Five (5) years experience in data analytics or engineering, with at least three (3) years focused on data modeling and transformation within a healthcare environment required.
  • Advanced experience in SQL and data transformation workflows (ETL/ELT) required.
  • Experience with Medallion Architecture (Bronze, Silver, Gold data layers) required.
  • KNOWLEDGE/SKILLS/ABILITIES
  • Data Modeling: Expertise in designing broad, multi-functional data sets that allow for cross-departmental trend analysis (financial, quality, and care management). Ability to build flexible data models utilized in downstream analytics tools (PowerBI, AWS QuickSight, Looker, Tableau, etc.).
  • Strategic Thinking: Ability to identify and resolve inefficiencies in reporting requests by creating self-service solutions that reduce administrative burden and support department leaders.
  • Communication: Skilled in translating technical data structures for non-technical department heads to improve overall organizational data literacy.
  • Scalability: Understanding of how to build data models that support growth.
  • Integrity: Commitment to building objective data models that prioritize mission-driven performance.
  • Industry Knowledge: Understanding of healthcare data sources, including claims, clinical data, and population health metrics. Familiarity with software best practices, including Git repositories, version control, and CI/CD pipelines.
  • PHYSICAL DEMANDS
  • Rarely (1 - 10% of the time) Occasionally (11 - 33% of the time) Frequently (34 - 66% of the time)

About the company

  • Samaritan Health Plans (SHP) operates a portfolio of health plan products under several different legal structures: InterCommunity Health Plans, Inc. (IHN) is designated as a regional Coordinated Care Organization (CCO) for Medicaid beneficiaries; Samaritan Health Plans, Inc. offers Medicare Advantage and Commercial Large Group plans. As part of an Integrated Delivery System, Samaritan Health Plans is strategically and operationally aligned with Samaritan Health Services’ mission of Building Healthier Communities Together. As part of an Integrated Delivery System, Samaritan Health Plans is strategically and operationally aligned with Samaritan Health Services’ mission of Building Healthier Communities Together.

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