Note: The job is a remote job and is open to candidates in USA. Beacon Behavioral Health is a fast-growing behavioral healthcare organization focused on expanding access to high-quality mental health services and improving patient and community outcomes. The Senior Data Engineer will build and scale the enterprise data platform, including data warehouses, pipelines, integrations, and cloud infrastructure, to support analytics, reporting, automation, and AI initiatives. The role will also establish data quality, governance, security, and engineering best practices across healthcare and business systems.
Responsibilities
- Design, build, and maintain Beacon's enterprise data warehouse and supporting data architecture
- Develop reliable and scalable data pipelines integrating data from EHRs, practice management systems, revenue cycle platforms, APIs, databases, and other enterprise applications
- Build and maintain cloud-based data infrastructure primarily within AWS
- Create standardized and trusted data models for clinical, operational, financial, and executive reporting
- Build data integration capabilities to support Beacon's growing portfolio of practices and acquired organizations
- Partner with business and technology teams to translate reporting and analytics requirements into scalable data solutions
- Establish data quality, validation, monitoring, lineage, and documentation practices
- Optimize data pipelines and warehouse performance, reliability, and cost
- Develop APIs, data services, and reusable datasets to support applications, automation, analytics, and AI use cases
- Help establish enterprise data engineering standards, architecture, and development best practices
- Ensure healthcare data is handled securely and in accordance with HIPAA and organizational security requirements
Skills
- * 5+ years of professional experience in data engineering or related roles
- * Strong experience designing and building cloud-based data warehouses and modern data platforms
- * Strong hands-on experience with AWS and AWS data services
- * Advanced proficiency with SQL and Python
- * Strong experience building ETL/ELT pipelines and integrating data from APIs, databases, files, and third-party platforms
- * Experience with data modeling, dimensional modeling, data quality, and pipeline orchestration
- * Experience building and maintaining production-grade data pipelines and cloud data infrastructure
- * Understanding of data governance, security, access controls, and sensitive data management
- * Strong problem-solving skills and ability to work independently in a fast-growing environment
- * Excellent collaboration and communication skills
- * Healthcare data engineering experience strongly preferred
- * Experience working with EHR/EMR, clinical, claims, billing, eligibility, or revenue cycle data
- * Understanding of healthcare data standards such as HL7, FHIR, X12, ICD-10, CPT, and related healthcare data models
- * Experience extracting data from healthcare systems using APIs, database access, HL7 feeds, or other integration methods
- * Experience with Tableau is a plus
- * Experience integrating data following healthcare acquisitions or across multiple EHR and practice management systems
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