Data Engineer, Mid

Acentra Health is dedicated to empowering better health outcomes through technology and clinical expertise. They are seeking a Mid Data Engineer to design, develop, and maintain scalable data pipelines and systems for healthcare and enterprise data, enabling data-driven decision-making across the organization.

Responsibilities:

• Design and implement scalable and efficient data pipelines to acquire, transform, and integrate data from various sources, such as electronic health records (EHR), medical devices, claims data, and back-office enterprise data
• Develop data ingestion processes, including data extraction, cleansing, and validation, ensuring data quality and integrity throughout the pipeline
• Collaborate with cross-functional teams, including subject matter experts, analysts, and engineers, to define data requirements and ensure data pipelines meet the needs of data-driven initiatives
• Design and implement data integration strategies to merge disparate datasets, enabling comprehensive and holistic analysis
• Implement data governance practices and ensure compliance with healthcare data standards, regulations (e.g., HIPAA), and security protocols
• Monitor and troubleshoot pipeline and data model performance, identifying and addressing bottlenecks, and ensuring optimal system performance and data availability
• Design and implement data models that align with domain requirements, ensuring efficient data storage, retrieval, and delivery
• Apply data modeling best practices and standards to ensure consistency, scalability, and reusability of data models
• Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of healthcare data
• Develop and enforce data governance policies and procedures, including data lineage, architecture, and metadata management
• Collaborate with stakeholders to define data quality metrics and establish data quality improvement initiatives
• Document data engineering processes, methodologies, and data flows for knowledge sharing and future reference
• Stay up to date with emerging technologies, industry trends, and healthcare data standards to drive innovation and ensure compliance
• Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules

Requirements:

• Bachelor's degree or equivalent experience in lieu of a degree
• Proven experience as a Data Engineer or similar role with a focus on healthcare data
• Strong programming skills in object-oriented languages such as Python
• Proficiency in SQL
• Hands-on experience with Tableau, and/or Powerbi
• Hands-on experience with data integration tools, ETL/ELT frameworks, and data warehousing concepts
• Hands-on experience with data modeling and schema design, including concepts such as star schema, snowflake schema, and data normalization
• Familiarity with healthcare data standards (e.g., HL7, FHIR), electronic health records (EHR), medical coding systems (e.g., ICD-10, SNOMED CT), and relevant healthcare regulations (e.g., HIPAA)
• Hands-on experience with big data processing frameworks such as Apache Hadoop, Apache Spark, etc
• Working knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and related services (e.g., S3, Redshift, BigQuery)
• Experience integrating heterogeneous data sources, aligning data models, and mapping between different data schemas
• Understanding of metadata management principles and tools for capturing, storing, and managing metadata associated with data models and semantic data layers
• Ability to track the flow of data and its transformations across data models, ensuring transparency and traceability
• Understanding of data governance principles, data quality management, and data security best practices
• Strong problem-solving and analytical skills with the ability to work with complex datasets and data integration challenges
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams