Senior Healthcare Data Engineer (Remote - US Based)

Requirements

• 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.


Collaboration and Soft Skills:
• Strong people skills, specifically in collaboration and teamwork.
• High level of curiosity, creativity, technical vision, and problem-solving capabilities; have a customer-first and learner’s mindset, and value teaching others.


Preferred experience:
• Previously designed and built data platforms while partnering with internal and external stakeholders
• Knowledge of AI/ML development, using various Large Language Models (LLMs) to build customized solutions, AI/ML design strategy and ML Ops Architecture

Job Responsibilities

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Building and Developing the Data Platform:
• 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.


Collaboration and Partnership:
• 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.


Data Quality, Security, and Compliance:
• 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.


Documentation and Process Maintenance:
• Create and maintain documentation for data engineering processes, pipelines, and workflows.


Innovative Solutions and Continuous Improvement:
• Develop and maintain creative solutions to evolving challenges that span data processing, data modeling, data analytics, and machine learning.
• Understanding and Mapping Healthcare Data:
• Understand healthcare-specific data models, data dictionaries, defined vocabularies, and other metadata and assist in mapping data elements to standard data specifications.

Within 1 Month You'll:

• 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.

Within 3 Months You'll:

• Gain a strong understanding of our technical environment and identify areas for growth in our processes, systems and/or tooling
• Document future architecture of data platform and have begun execution
• Established processes to improve quality of data
• Have made recommendations on current processes and tooling
• Work with a business unit to develop and begin implementation of a datamart

Within 6 Months You'll:

• Have a deep understanding of the product platform, our data needs and work in conjunction with management to refine the plan to meet our long term data goals.
• Make contributions to processes of democratizing data with an emphasis on self service.