Data Engineer (Multiple Levels)
Remote Alhambra Full-time Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at Astrana Health, Inc. Remote, United States · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Estimated pay
Astrana Health, Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
$112,500 – $160,000
What the middle half of mid-level data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 386 postings that stated pay, median $134,547. Last updated Oct 24, 2026.
RoleData Engineering
SeniorityMid-level
LocationAlhambra
WorkplaceRemote
EmploymentFull-time
PostedJun 3, 2026 · 4mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build dependable data models that analysts can navigate and stakeholders can rely on
- Create scalable ELT workflows and BI dashboards, using automation where it fits
- Apply quality measures to client datasets and add checks that flag errors or changes in data patterns
- Learn healthcare operations and track regulatory changes that affect the analytics products you maintain
What you bring
- A bachelor’s degree in healthcare, analytics, statistics, finance, business or a related area
- At least two years working in data and analytics, plus two years using version control for code changes
- At least one year working with cloud services from AWS, GCP or Azure
- Experience with relational databases and programming or scripting, such as SQL, Python or Spark
Who this fits
You’ll work with analysts, engineers, data scientists and clinical leaders, reporting to the Director of Data Engineering. The role is offered at multiple levels and suits someone who can collaborate across technical and clinical teams.
From the employer
We are currently seeking highly motivated Data Engineers at various levels. This role will report to the Director - Data Engineering and work closely with data analysts, data engineers, data scientists, and clinical leaders to produce deliverables for internal and external clients. With over a million managed lives across the country and terabytes of data generated, our teams need to be continuously equipped with the tools and insights to drive strategy and innovation to further our core values of improving patient outcomes and empowering our providers.
Our Values:
Our Values:
- Put Patients First
- Empower Entrepreneurial Provider and Care Teams
- Operate with Integrity & Excellence
- Be Innovative
- Work As One Team
- Use data engineering best practices to produce high quality, maximally available data models which are intuitive to data analysts and trusted by stakeholders
- Develop deep domain knowledge in healthcare operations, tracking regulatory developments related to analytics products you maintain
- Apply quality measures and other metrics to datasets originating from internal and external clients
- Build scalable ELT pipelines and business intelligence dashboards as needed, embracing automation wherever possible
- Implement data quality checks which proactively identify data issues and distributional shifts to ensure accuracy of downstream analytical products
- Bachelor's degree required in healthcare, analytics, statistics, finance, business, or related field; Master’s degree (MBA, MPH) preferred.
- Experience with relational databases.
- Strong understanding of database structures, theories, principles, and practices
- Working knowledge with programming or scripting languages such as Python, Spark, and SQL.
- Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including documentation, coding standards, code reviews, source control management, build processes, testing, and operations.
- Familiarity with normalized, dimensional, star schema and snowflake schematic models
- Working experience with Databricks preferred
- Familiarity with business intelligence exploratory or visualization tools (e.g., Tableau, PowerBI.) preferred
- Strong written and oral communication skills.
- Experience with Excel.
- At least 2 years of experience working in the data and analytics landscape
- At least 2 years of experience using version control to manage code changes
- At least 2 years of experience in managed care or other healthcare data field preferred
- At least 1 year of using cloud-based services from AWS, GCP, or Azure
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