Data Engineer (remote)

Role: Data Engineer (Remote)

You will help translate business needs into data solutions, build and maintain scalable data pipelines, and support analytics and predictive/prescriptive modeling across the organization.

Responsibilities

• Understand business processes and how they are modeled across enterprise systems.
• Partner with business users, technology teams, and executives to define data needs and deliver solutions.
• Implement data structures, workflows, and integrations between enterprise platforms.
• Build and maintain scalable data pipelines as data volume and complexity grow.
• Follow data integration/engineering best practices and evolve the organization’s data infrastructure.
• Manage and improve performance of databases, queries, and data tooling.
• Create and maintain data warehouses, databases/tables, SQL queries, and ingestion pipelines to power:
  • Tableau reports and dashboards
  • Predictive models and downstream analysis
• Write complex, efficient SQL to transform raw sources into reusable data models.
• Prepare data for predictive and prescriptive modeling (data patterns, reliability, efficiency, quality).
• Collaborate with analytics, data science, and engineering teams to automate analytics/visualization and populate data models.
• Coordinate across disciplines and departments; ensure HIPAA compliance for PHI/PHI-sensitive data.

Requirements

• 4+ years of experience in data engineering, data warehousing, or related roles.
• Strong SQL skills; experience with relational and/or distributed databases.
• Hands-on experience building and maintaining ETL/ELT pipelines.
• Big data processing frameworks such as Spark or Hadoop.
• Programming proficiency in at least one (e.g., Python, Scala, or Java).
• Experience with cloud data platforms (AWS, Azure, or GCP).
• Familiarity with data lake/lakehouse architecture.
• Strong understanding of data modeling, data quality, and data governance.
• Ability to work with large, complex datasets and optimize performance.

Preferred Qualifications

• Healthcare data experience, including EDI transactions: 835 (remittance advice) and 837 (claims).
• Familiarity with clinical/EMR/EHR systems (e.g., Epic, Cerner).
• Experience with Oracle Cloud Infrastructure (OCI) or similar Oracle cloud services.
• Knowledge of healthcare standards (HL7, FHIR, HIPAA compliance).
• Experience with workflow orchestration tools (e.g., Airflow, Prefect).

Compensation

• $110K–$130K (annual) salary range.