Senior DataOps Engineer – DevOps & Delivery for Healthcare

Huron

United States

Remote

USD 110,000 - 150,000

Full time

7 days ago
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Job summary

Huron is seeking a Data Engineer to sustain data pipelines and client-facing applications across more than ten environments. You’ll configure deployments, support go-live stabilization, and investigate data-load issues with the DataOps team.

The role sits at the intersection of DataOps, DevOps, and delivery engineering, ensuring reliable data delivery and secure provisioning. Ideal candidates have strong Python, AWS, and CI/CD experience and are comfortable operating in a fast-paced,

Qualifications

  • U.S. work authorization is required.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • 2-3+ years of experience in data engineering, DevOps, or DataOps roles.

Responsibilities

  • Support daily operation and monitoring of data pipelines across 10+ client environments.
  • Set up, configure, and support deployment of client-facing applications—from environment setup to go-live stabilization.
  • Validate daily data flows across all client environments and investigate data-load issues with logs and metrics.
  • Assist in provisioning of new client environments and security controls (SFTP, encryption, access).
  • Contribute to CI/CD pipelines (Jenkins) and AWS infrastructure (EC2, S3, Lambda, Athena).
  • Support Posit Connect analytics hosting and multi-tenant data environments.
  • Maintain runbooks and monitoring dashboards for pipeline health and incident response.

Skills

US work authorization
Python
Bash
Data engineering
DevOps

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

AWS
S3
Lambda
EC2
Athena
Snowflake
Jenkins
Posit Connect
Docker
SAML/SSO

Job description

Huron is seeking a Data Engineer to sustain data pipelines and client-facing applications across more than ten environments. You’ll configure deployments, support go-live stabilization, and investigate data-load issues with the DataOps team.

The role sits at the intersection of DataOps, DevOps, and delivery engineering, ensuring reliable data delivery and secure provisioning. Ideal candidates have strong Python, AWS, and CI/CD experience and are comfortable operating in a fast-paced,

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