Senior Healthcare Data Engineer

June 1

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CareMessage

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CareMessage is the largest patient engagement platform for underserved populations in the United States.

Patient Engagement • Mobile Health • Healthcare Software • Patient Communication • Patient Messaging

51 - 200

💰 $250k Grant on 2020-07

Description

• Gain a foundational understanding of our product, customers and patients • Meet key internal stakeholders and begin to understand policies and protocols • Establish rapport with existing Engineers across various product teams. • Build out basic understanding of existing data tools.

Requirements

• As the first Data Engineer at CareMessage, you will help to build out a world-class data platform. • Participate early in the development of a robust data foundation and infrastructure, implementing data architecture, quality control, ETL/ELT, build pipelines, reporting systems, and self-service tools as the company grows. • Building foundational pieces of our data platform architecture, pipelines, analytics, and services underlying our platform. • Develop, optimize, and maintain scalable data pipelines and ETL/ELT processes for healthcare data ingestion, transformation, storage, and analysis. • Partnering with Engineering team members, Product Managers, Data Scientists, and customer-facing teams to understand health data use cases, data requirements, business logic, ensure data availability for analysis and design solutions to meet business needs. • Implement data quality and validation processes to ensure accuracy and integrity of healthcare data. • Ensure compliance with healthcare data privacy and security regulations in all data processing activities. • Stay updated with the latest healthcare data regulations and compliance standards, ensuring data security and privacy. • Troubleshoot data-related issues and provide timely resolutions to maintain data integrity. • Create and maintain documentation for data engineering processes, pipelines, and workflows. • Develop and maintain creative solutions to evolving challenges that span data processing, data modeling, data analytics, and machine learning. • Understand healthcare-specific data models, data dictionaries, defined vocabularies, and other metadata and assist in mapping data elements to standard data specifications.

Benefits

• 5+ years of hands-on data engineering experience with a strong understanding of healthcare data standards (e.g., HL7, FHIR), regulatory requirements (e.g., HIPAA) and experience working with electronic health records (EHR, EMR) data. • Strong expertise in ETL/ELT, reporting tools, data governance, data warehousing, and hands-on experience in designing and implementing tight data security at various levels. • Proficiency in SQL and at least one of the following programming languages: Python, R, Java, and/or Scala for data processing tasks. • Hands-on experience/expertise in multiple of the following data technologies, Data warehouses (BigQuery, Snowflake, Redshift, Databricks), Data Visualization tools (Metabase, Superset, Tableau, Looker), Data Technologies (Kafka, dbt, Airflow, Spark, Flink, Amundsen, Datahub). • Understanding of data testing concepts and the ability to consistently apply them. • Experience with DataOps and related set of practices, processes, and technologies. • Expertise in working with unstructured, structured, and semi-structured data.