Data Engineer (Multiple Levels)

Data Engineer (Multiple Levels)

Department

Data - Analytics

Employment Type

Full Time

Location

1668 S. Garfield Ave. 2nd Floor, Alhambra, CA 91801

Compensation

$105,000 - $200,000 / year

Description

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

• 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

• 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

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

humanresourcesdept@astranahealth.com

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.