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Pittsburgh, PA 15222 Penn Avenue Place
Company enGen
Job Description
We are seeking a highly skilled and strategic leader with extensive technical expertise in data engineering, distributed systems, and cloud-native architecture, preferably within the healthcare domain. The ideal candidate will possess strong proficiency across modern data platforms, including cloud environments such as GCP, preferred AWS, and Azure, along with data processing tools like Spark, Flink, Kafka, and Airflow. Expertise in data storage and querying technologies, BigQuery, Presto, Trino, Iceberg data lakes, and warehouses, coupled with analytics engineering using dbt and semantic modeling, is essential. A proven ability to design and manage large-scale secure and cost-effective data platforms is required. This role is pivotal in defining and owning the long-term data platform and engineering strategy, establishing technical roadmaps, and driving architectural decisions for data ingestion, storage, processing, interoperability, and analytics across the enterprise.
This position also demands significant healthcare industry knowledge, including strong experience with healthcare data, a deep understanding of standards like FHIR, HL7, and related APIs, and hands-on experience managing PHI and building HIPAA-compliant platforms. Familiarity with clinical claims and operational healthcare data and their analytical use cases is critical.
The ideal candidate will possess exceptional communication and influence skills with the proven ability to bridge the gap between highly technical concepts and business stakeholders. They must be comfortable and effective in presenting complex technical information to both executive leadership and non-technical audiences, fostering clear understanding and alignment across the organization.
Finally, the successful candidate will possess strong leadership and strategic capabilities evidenced by success in leading and scaling high-performing data platform engineering teams in complex enterprise environments. They will be responsible for defining technical vision, setting clear goals, driving execution, influencing cross-functional stakeholders, and fostering a culture of excellence, innovation, and collaboration.
Key Responsibilities:
• Leading the design, development, and operation of scalable, reliable, and secure data pipelines, ETL, and platforms, ensuring high availability and performance. • Guiding the adoption of modern data engineering practices, such as Infrastructure as Code, CICD, DataOps, and platform self-service. • Establishing and enforcing data quality standards, metadata management, lineage, and operational excellence, ensuring compliance with healthcare regulatory requirements, HIPAA, HITRUST, SOC 2. • Collaborating with data science, analytics, product, clinical, and IT teams to deliver trusted and actionable data solutions and act as a technical advisor to senior leadership. • Monitoring, maintaining, and supporting operational and analytic data platforms and technology, working closely with IT partners to ensure the group is leveraging the latest tools and technology. • Overseeing an efficient and effective quality control process that tests and reviews all code and processes to ensure accuracy. • Creating an overall production and continuous improvement discipline that not only delivers on quality but continuously lowers costs to deliver. • Supporting data and analytic end-users and stakeholders needs for appropriate data access, awareness, understanding, and troubleshooting to ensure successful information delivery. • Reliably delivering all assets that exist within the production environment, such as data sources, curated datasets, APIs, data feeds, analytic and business intelligence tools, on a timely and accurate basis. • Acting as a liaison to the organizations broader data governance processes, data engineering teams, and other key information technology partners. • Acting as a critical link to IT and external plan partners who are leveraging our analytical tools.
Essential Responsibilities:
• Perform management responsibilities, including but not limited to, involved in hiring and termination decisions, coaching and development, rewards and recognition, performance management, and staff productivity. • Plan, organize, staff, direct, and control the day-to-day operations of the department, develop and implement policies and programs as necessary, may have budgetary responsibility and authority. • Monitor, maintain, and support the operational and analytic data platforms and technology, working closely with IT partners to ensure the group is leveraging the latest tools and technology. • Oversee an efficient and effective quality control process that tests and reviews all code and processes to ensure accuracy. • Create an overall production and continuous improvement discipline that not only delivers on quality but continuously lowers costs to deliver. • Support data and analytic end-users and stakeholders needs for appropriate data access, awareness, understanding, and troubleshooting to ensure successful information delivery. • Reliably deliver all assets that exist within the production environment, such as data sources, curated datasets, APIs, data feeds, analytic and business intelligence tools, on a timely and accurate basis. • Act as a liaison to the organizations broader data governance processes, data engineering teams, and other key information technology partners. • Act as a critical link to IT and external plan partners who are leveraging our analytical tools.
Education:
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Experience:
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Physical and Mental Demands and Working Conditions:
Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures, as well as all data security guidelines established within the companys Handbook of Privacy Policies and Practices and Information Security Policy.
Furthermore, it is every employees responsibility to comply with the companys Code of Business Conduct, which includes but is not limited to adherence to applicable federal and state laws, rules, and regulations, as well as company policies and training requirements. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
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Our history of helping families and companies with their health insurance needs dates to the 1930s, when our predecessor companies were established to help Pennsylvania's residents pay for health care.
Highmark was created in 1996 by the consolidation of two Pennsylvania licensees of the Blue Cross and Blue Shield Association — Pennsylvania Blue Shield (now Highmark Blue Shield) and Blue Cross of Western Pennsylvania (now Highmark Blue Cross Blue Shield). We are now one of the largest health insurers in the United States.
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