Rackner

Data Integration Engineer-Federal Health IT

Rackner
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2 days ago
Remote, United StatesMid Level

Responsibilities

  • Design, develop, and maintain secure API-based data pipelines integrating multiple enterprise systems into centralized analytics platforms.
  • Automate data collection, reporting metrics, and data extraction processes.
  • Implement version control, testing, and deployment through CI/CD pipelines.
  • Establish data quality checks, monitoring, and automated alerts for accuracy, reliability, and consistency.
  • Document data integrations, system interfaces, and architecture.
  • Collaborate with technical leads and solution architects to review, validate, and support system integration approvals.

Requirements

  • At least 4 years of experience in data engineering, data integration, or a related technical field.
  • Strong expertise in API integrations and automation.
  • Proficiency in Python, SQL, and REST APIs.
  • Experience implementing and maintaining CI/CD pipelines.
  • Ability to meet applicable background screening and security requirements.
  • Preferred experience with Microsoft Power Platform and Dataverse.
  • Preferred familiarity with Splunk for data analysis, monitoring, or reporting.
  • Preferred experience integrating data from enterprise healthcare, business intelligence, or other complex data environments.

Benefits

  • Medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan with company matching contributions.
  • Paid time off and paid holidays.
  • Professional development and company-supported certification opportunities.
  • Home-office equipment and remote-work support.
  • Fitness and wellness reimbursement programs.
  • Weekly pay and company team events.
  • Remote U.S.-based work arrangement; benefits are subject to plan terms and eligibility requirements.

Tech Stack

PythonSplunkSQL

Categories

Data Engineering
Rackner

About Rackner

51-200 employees

Rackner is a cloud-native software consultancy that delivers DevSecOps, AI/ML, Kubernetes, and edge-computing solutions for startups, enterprises, and U.S. federal agencies across public and private clouds. Founded in 2015 and headquartered in Silver Spring, Maryland, it is privately held and a Kubernetes Certified Service Provider and CNCF member, offering services from cloud and hybrid-cloud development to web/mobile applications supporting mission-critical systems.

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