Senior Data Engineer

Highmark Health

4d•Remote

About The Position

JOB SUMMARY We are seeking a highly skilled and adaptable Senior FHIR Interoperability Engineer to drive the reliable movement, transformation, and storage of complex healthcare data using Fast Healthcare Interoperability Resources (FHIR) standards. In this pivotal senior-level role, you will collaborate with data architects, analysts, and other engineers to design, develop, implement, and optimize FHIR-enabled data pipelines. This includes ensuring data quality, integrity, and security across various platforms, from initial concept to ongoing support. This role is essential for the secure and efficient exchange of patient clinical outcome data and payer claim and membership data between payers and providers. Your expertise will be critical in ensuring compliance with federal and Blue Cross Blue Shield Association (BCBSA) mandates and directly contributing to Highmark Health's strategic "quintuple aim" objectives: reducing the cost of care, addressing health equity and access, improving health outcomes, and enhancing both customer and clinician/provider experiences. Key Skills: Fast Healthcare Interoperability Resources (FHIR) ETL Tools & Scripting Languages: Python, PySpark, DBT Cloud & Big Data Platforms: Databricks, Google Cloud Platform (GCP), Google Healthcare Data Engine (HDE), BigQuery, PostgreSQL Data Virtualization tools and frameworks: Starburst EHR Systems: Epic, Cerner (and similar) Cloud Orchestration: Terraform ESSENTIAL RESPONSIBILITIES Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs Monitor work against production schedule, provide progress updates, and report any issues or technical difficulties to lead developers regularly Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations. Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking Mentor other associate and intermediate data engineers as needed Perform data analysis and provide insights to support decision-making across various departments Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed Other duties as assigned or requested.

Requirements

5 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems
5 years of experience in a data engineering, ETL development, or data management role.
5 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB).
5 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery)
Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment
Adaptability: Strong ability to take on diverse tasks and projects, adapting to the evolving needs of the organization
Analytical Thinking: Strong analytical skills with a focus on detail and accuracy
Interest and ability to learn other data development technologies/languages as needed
Technical Proficiency: Comfortable with a range of data tools and technologies, with a willingness to learn new skills as needed
Strong track record in designing and implementing large-scale data sources
Strong sense of ownership, urgency, and drive
Demonstrated passion for user experience and improving usability
Team Collaboration: A team player who can work effectively in cross-functional environments
Experience and willingness to mentor junior data engineers and help develop their skills and leadership
Bachelor’s degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field

Nice To Haves

Experience with data streaming and workflow management tools (e.g., Confluent Kafka/Flink, Google Dataflow), data virtualization tools and frameworks (e.g. Starburst), and SQL-structured pipeline development tools (DBT).
Experience with cloud infrastructure provisioning automation and scripting, including Terraform.
7 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities
7 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare
7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services
7 years of experience in data governance, data quality, and data security best practices
7 years of experience translating requirements, design mockups, prototypes or user stories into technical designs
7 years of experience in producing data-related code that is fault-tolerant, efficient, and maintainable
Master's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field

Responsibilities

Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems
Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs
Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs
Monitor work against production schedule, provide progress updates, and report any issues or technical difficulties to lead developers regularly
Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations.
Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking
Mentor other associate and intermediate data engineers as needed
Perform data analysis and provide insights to support decision-making across various departments
Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed
Other duties as assigned or requested.