Role 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. - 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. Requirements - 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. Benefits - 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. Company Description 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. 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.

• Build and Maintain Data Pipelines • Design and develop reliable, scalable, and secure ETL/ELT pipelines using Matillion(or similar platform), Python, and dbt • Optimize Data Infrastructure • Work on performance tuning of SQL queries, table structures, and warehouse configurations • Collaborate Cross-functionally • Work closely with data analysts, data scientists, product managers, and engineering teams • Data Modeling • Design and maintain scalable dimensional and normalized data models within Snowflake • Implement and Enforce Data Quality Standards • Build data quality checks, logging, monitoring, and alerting systems • Documentation and Best Practices • Maintain comprehensive documentation of systems, processes, and code

Role Description We are seeking a highly motivated Manager - Data Engineering to join our growing team. This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal candidate is a strong technical leader with a passion for mentoring others and delivering scalable, high-quality data solutions. You will collaborate closely with data analysts, data scientists, technology teams, and business leaders to design and implement robust data pipelines and platforms that support internal and external clients. With over a million managed lives across the country and terabytes of healthcare data generated, your leadership will be critical to empowering our organization with the tools and insights needed to drive innovation and improve patient outcomes. What You'll Do - Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence. - Partner with cross-functional teams to design and implement scalable data pipelines and models aligned with business needs and industry best practices. - Oversee the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets. - Own and evolve data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues. - Champion the adoption of automation and modern data engineering practices, driving efficiencies in pipeline management and data delivery. - Guide your team in building domain knowledge around healthcare operations, ensuring data solutions comply with regulatory and security requirements. - Contribute to strategic planning for the data engineering function, including resource allocation, technology selection, and process improvement initiatives. - Support and enforce software development best practices, including code reviews, source control, CI/CD, and testing. Qualifications - Bachelor’s degree required in computer science, engineering, healthcare, analytics, or a related field; Master’s degree preferred. - 5+ years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity. - 2+ years of experience with medical claims in healthcare and/or managed care. - Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure). - Advanced proficiency with SQL and scripting/programming languages such as Python or Spark. - Solid understanding of database structures, data modeling (normalized, star schema, snowflake), and data warehousing concepts. - Experience working with Databricks or similar distributed computing platforms preferred. - Familiarity with BI tools such as Power BI. - Deep understanding of professional software engineering practices including SDLC, version control, CI/CD, and automated testing. - Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences. Requirements - Thrive in a fast-paced environment and enjoy leading teams to solve complex data challenges. - Passionate about mentoring and growing the next generation of data engineering talent. - Have a bias for action and a commitment to delivering high-quality solutions with measurable impact. - Bring a collaborative, team-first mindset to everything you do. Benefits - This position is remotely based in the U.S. - The total compensation target pay range for this role is: $140,000 - $160,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors. Company Description 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. 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.

Role Description This role will primarily become proficient with all internal & external data produced and consumed by Hanover’s Core Commercial and Specialty businesses. This role will drive complex projects independently as well as under the mentorship of experienced engineers. The Associate Data Engineer will collaborate with business partners and cross-functional teams on data and reporting requests. The assignments will become broader in nature, usually requiring originality and ingenuity. This role will be accountable for successful outcomes related to designing, developing, implementing, optimizing, and maintaining data integrations, pipelines and solutions. In this role, you will: - Complete data integration and build scalable ETL pipelines - Learn data engineering best practices for data storage, integration, transformation, and access within cloud and on-premises platforms - Gain a strong understanding of Medallion Architecture and Data Lake best practices - Ensure data security and compliance within industry standards - Develop and maintain documentation for data integration and ETL solutions - Build solutions within Azure Data Services (Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage) - Create solutions using pySpark/SparkSQL, and Delta Tables - Collaborate with data scientists, analysts, and stakeholders - Work within agile development methodologies - Occasional Power BI report creation for data delivery - Utilize best practices for CI/CD Qualifications - Bachelor’s degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or other related fields - 0-2 years professional experience in data engineering, data architecture, and/or data analytics - Beginner proficiency in SQL and Python - Strong problem-solving, communication, and collaboration skills - Critical thinking and attention to detail - Must be eligible to work in the United States without requiring sponsorship now or in the future (i.e. US Citizen or green card holder) Requirements - Some experience working with Azure, AWS, GCP, or other cloud - CI/CD experience with ADO or Github - Azure Synapse Analytics and/or Microsoft Fabric experience - PowerBI experience - Insurance industry experience Benefits - Medical, dental, vision, life, and disability insurance - 401K with a company match - Tuition reimbursement - PTO - Company paid holidays - Flexible work arrangements - Cultural Awareness Day in support of IDE - On-site medical/wellness center (Worcester only)