Title: Data Architect – Remote Location: VA, US Contract Job Description: About us Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II. Join us in driving growth and seizing new business opportunities. Role and Responsibilities - Design the vision and blueprint of an organization’s data framework. - Design and manage data systems, set policies for how data is stored and accessed, coordinate various data sources within an organization, and integrate new data technologies into existing IT infrastructures. - Data modeling and design, including software development and database administration. Minimum Qualification - Ten (10) plus years professional experience in data ecosystems writing SQL queries, building ETL pipelines, and designing data architecture. - Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Management Information Systems, or Information Technology. - Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of Health) to modernize legacy data infrastructures.

• Desarrollo y mantenimiento de soluciones tecnológicas • Colaborar con equipos interfuncionales • Participar en la transformación digital

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