The Role
Responsible for building data models, developing ELT pipelines, implementing data quality checks, and utilizing best practices in data engineering and healthcare analytics.
Summary Generated by Built In
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
What You'll Do
- 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
Qualifications
- 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.
You're a great for this role if:
- 2+ years of experience working in the data and analytics landscape
- 2+ years of experience using version control to manage code changes
- 2+ years of experience in managed care or other healthcare data field preferred
- 1+ years’ using cloud-based services from AWS, GCP, or Azure
Environmental Job Requirements and Working Conditions
- This position is remotely based in the U.S.
- The total compensation target pay range for this role is: $105,000 - $200,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.
Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at [email protected] to request an accommodation.
Additional Information:
The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.
About
Astrana Health (NASDAQ: ASTH) is a physician-centric, technology-powered healthcare management company. We are building and operating a novel, integrated, value-based healthcare delivery platform to empower our physicians to provide the highest quality of end-to-end care for their patients in a cost-effective manner. Our mission is to combine our clinical experience, best-in-class delivery network, and technological expertise to improve patient outcomes, increase access to healthcare, and make the US healthcare system more efficient. Our platform currently empowers over 20,000 physicians to provide care for over 1.7 million patients nationwide. Our rapid growth and unique position at the intersection of all major healthcare stakeholders (payer, provider, and patient) gives us an unparalleled opportunity to combine clinical and technological expertise to improve patient outcomes, increase access to quality healthcare, and reduce the waste in the US healthcare system.
Skills Required
- Bachelor's degree in healthcare, analytics, statistics, finance, business, or related field
- Experience with relational databases
- Strong understanding of database structures
- Working knowledge with programming or scripting languages such as Python, Spark, and SQL
- Knowledge of software engineering practices and full SDLC
- Familiarity with normalized, dimensional, star schema and snowflake models
- Experience with Databricks
- Familiarity with business intelligence tools like Tableau, PowerBI
- Strong written and oral communication skills
- Experience with Excel
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The Company
What We Do
Astrana Health is a physician-centric, technology-powered healthcare company that operates an integrated delivery platform. It enables providers to participate in value-based care arrangements, helping them deliver accessible, high-quality, and cost-effective care to patients. The company provides care coordination services to patients, primary care physicians, specialists, and health plans, leveraging proprietary technology to streamline operations and improve patient outcomes across local communities.
