Remote Data Engineer - Healthcare Encounters

Saferide Health, Inc.; United States; A distancia; USD 80.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Annual bonus

Remote with flexible hours

Health, dental, and vision insurance

401(k) with company match

Generous PTO and parental leave

Career growth opportunities

Descripción de la vacante

SafeRide Health is seeking a Data Engineer to own and optimize healthcare encounters data workflows. You will build encounter files and scalable pipelines for delivery to partners, ingest responses, and measure performance using SQL and Python.

The role focuses on reducing single-point-of-failure risks, improving data completeness, accuracy, and timeliness, and partnering with internal teams in a remote, United States-based setting.

Formación

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• 3+ years of professional experience with SQL and Python.
• Data warehousing and data modeling experience, including star schemas and report design.
• Experience with AWS Data Services (Redshift, Athena, S3, DMS, Glue, SageMaker).
• Experience with workflow orchestration tools like Airflow.
• Proven ability to design and implement data solutions in fast-moving environments.

Responsabilidades

• Own the technical encounters workflow and reduce single-point-of-failure risk.
• Build encounter files and scalable pipelines for delivery to third parties.
• Ingest and process response files and measure encounter performance.
• Use SQL and Python to develop, automate, validate, and troubleshoot data workflows.
• Partner with internal teams to improve encounter completeness, accuracy, and timeliness.

Conocimientos

SQL

Python

Data warehousing

Data modeling

Workflow orchestration (Airflow)

Educación

Bachelor's degree in Computer Science/Engineering/Math

Herramientas

AWS Data Services (Redshift, Athena, S3, DMS, Glue, SageMaker)

Airflow

Descripción del empleo

SafeRide Health is seeking a Data Engineer to own and optimize healthcare encounters data workflows. You will build encounter files and scalable pipelines for delivery to partners, ingest responses, and measure performance using SQL and Python.

The role focuses on reducing single-point-of-failure risks, improving data completeness, accuracy, and timeliness, and partnering with internal teams in a remote, United States-based setting.