Full-Time
Data Engineer
Rackner
11-50 employees
DevSecOps and AI for cloud-native edge
No salary listed
No H1B Sponsorship
Remote in USA
Remote
Remote within the United States; active DoD Secret clearance required.
US Top Secret Clearance Required
 Data & Analytics (1) |
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- 4+ years of experience in Data Engineering or Analytics Engineering
- Proficient in SQL and Python, with experience building modular, version-controlled transformations
- Hands-on with Apache Airflow, Apache Spark, dbt, and data lake frameworks (Iceberg, Trino, Athena)
- Strong understanding of ETL/ELT design, data modeling, and governance in distributed systems
- Familiar with AWS (Glue, S3, Lambda, Athena, EMR) and cloud-native data architectures
- Excellent collaborator with experience in cross-functional environments (DevSecOps, Data Science, Security)
- Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg
- Ingest and normalize structured and unstructured data (HL7, FHIR, PDF, JSON) for analytics and AI/ML use cases
- Map datasets to FHIR and OMOP standards to enable interoperability and decision support
- Implement schema versioning and governance to ensure traceability and audit-ready lineage
- Collaborate with DevSecOps and Data Science teams to deliver AI-ready datasets for predictive analytics and readiness forecasting
- Optimize data performance across distributed environments while ensuring compliance with DoD Responsible AI and NIST AI Risk Management frameworks
- Experience with FHIR, OMOP, or HL7 data standards
- Background in DoD, VA, or other federal health IT programs
- Knowledge of Responsible AI and NIST AI Risk Management Frameworks
- Familiarity with complex operational data systems or readiness analytics
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
N/A
Total Funding
N/A
Headquarters
Washington DC, District of Columbia
Founded
2015
Get referred to Rackner
Find people who can refer or advise you
Simplify's Take
What believers are saying
- AWS Partner status boosts cloud services for federal and startup clients.
- Expansion to Salt Lake City grows operations beyond Maryland headquarters.
- CNCF membership validates expertise in cloud-native technologies like Kubernetes.
What critics are saying
- Palantir poaches Kubernetes experts, eroding delivery capacity in 6-12 months.
- Deloitte competes for federal clients with scaled DevSecOps in 12-18 months.
- CISA BOD 26-02 bars non-compliant WASM edge access by August 2027.
What makes Rackner unique
- Rackner certifies as Kubernetes Service Provider managing production clusters daily.
- Rackner specializes in DevSecOps, AI/ML, and WebAssembly for edge computing.
- Rackner serves hypergrowth startups and federal Civilian/Defense agencies.
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Benefits
401(k) Company Match
Unlimited Paid Time Off
Health Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Home Office Stipend
Gym Membership