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Rackner

DevSecOps and AI for cloud-native edge

Data Integration Engineer - Federal Health IT

Data EngineeringPosted on Nov 9
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • A minimum of four years of professional data engineering experience involving Python, SQL, and REST APIs.
  • Experience using CI/CD processes to support version control, testing, and delivery of data engineering changes.
  • Eligibility for a Tier 3 federal background investigation and ability to meet applicable personnel-vetting requirements.

Responsibilities

  • Design, develop, and maintain secure, API-based data pipelines connecting approved operational systems with a designated enterprise analytics environment.
  • Operate and troubleshoot assigned data integrations to support reliable, consistent delivery of information for analytics and assurance activities.
  • Automate the collection and processing of operational metric inputs to reduce manual effort and improve reporting reliability.
  • Develop repeatable data and evidence extraction workflows that support authorized analysis and independent assurance activities.
  • Apply version control, testing, and established CI/CD processes to validate and deliver data integration changes.
  • Implement data-quality checks, monitoring, and automated alerts to identify integration failures and data reliability issues.
  • Document technical interfaces and integration dependencies within established architecture inventories, and collaborate with solution architects to support interface reviews and approvals.

Desired Qualifications

  • Experience with Microsoft Power Platform and Dataverse.
  • Familiarity with Splunk for data analysis, monitoring, or reporting.
  • Experience integrating data within federal healthcare technology environments or comparable large-scale enterprise data platforms.

About the Company

Rackner

DevSecOps and AI for cloud-native edge

Rackner provides services that blend DevSecOps with artificial intelligence to help organizations run workloads in the datacenter, public and private clouds, and at the edge. Its offerings center on automating secure software delivery (devsecops), building cloud-native and hybrid-cloud applications, and extending compute to edge environments using technologies like Kubernetes and WebAssembly. The company supports both fast-growing startups and federal agencies, including Civilian and Defense sectors, and differentiates itself through its deep focus on security, cloud-native architecture, edge computing, and AI/ML capabilities, along with its status as a Cloud Native Computing Foundation member, Kubernetes Certified Service Provider, and partner to major cloud providers. Rackner’s goal is to help customers deliver scalable, secure, and efficient software and AI-powered applications across on-premises, cloud, and edge environments.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Washington DC, District of Columbia
Founded
2015

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