- Company: Get A Job.ai
- Location: USA
- Salary: Pay not listed
- Work type: Remote
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential defense technology client who is seeking a Data Engineer to support mission-critical government programs. This role requires designing and operating sophisticated data infrastructure on Kubernetes and AWS cloud environments, with a focus on secure data pipelines and streaming technologies.
Important: This position requires U.S. citizenship and the ability to obtain and maintain a Secret-level DoD security clearance. The employer is a contractor for the U.S. government.
Location: Remote within the USA
Travel: 6-10 times per year
Responsibilities
- Design data workflows, pipelines, and pathways to support ETL/ELT processes while ensuring data quality and secure exchange of sensitive information across cloud and on-premises environments
- Implement systems engineering principles to ensure reliability, scalability, and maintainability of data systems, including backup and recovery strategies
- Architect, deploy, and operate data streaming technologies (Kafka, Redpanda, Kinesis, etc.) on Kubernetes with emphasis on declarative definitions
- Collaborate with platform teams to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments
- Automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform
- Work with cybersecurity SMEs to incorporate best practices and defend data systems against potential threats
- Ensure data systems comply with industry and DoD regulations, standards, and best practices
- Stay current with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering
What We're Looking For
Required:
- Minimum 5 years of demonstrated experience building and maintaining production data pipelines, databases, and data exchange services on Kubernetes
- Experience designing, deploying, and operating Kafka/Redpanda data streaming solutions on Kubernetes
- Proven ability to create data pipelines from scratch with capability to process large data volumes and manage data stores
- Strong experience with containerization technologies (Docker) and container orchestration systems (Kubernetes)
- Knowledge of systems engineering principles for reliability, scalability, and maintainability
- Familiarity with API Security, Container Security, and AWS Cloud Security
- Understanding of cybersecurity principles and best practices for securing data systems
- Excellent problem-solving skills with ability to work independently and collaboratively
- Strong communication skills to convey complex technical concepts to both technical and non-technical audiences
- U.S. citizenship and ability to pass a pre-employment background check
- Ability to obtain and maintain a Secret-level DoD security clearance
Preferred:
- Experience with machine learning and generative AI models
- Hands-on experience with infrastructure-as-code tools (Terraform/Pulumi)
- Knowledge of GitOps, Helm/Kustomize, and CNCF projects
How We Work With You
Our talent team at Get A Job.ai partners with leading defense technology organizations to connect exceptional engineers with mission-critical opportunities. When you apply through our platform:
- A dedicated recruiter will review your background and conduct an initial screening
- We'll prepare and submit your profile to our client with full context about your qualifications
- We'll coordinate all interview stages and provide guidance throughout the process
- Please do not contact the client directly; all communication should flow through Get A Job.ai
Pay
Pay via Get A Job.ai will be competitive and commensurate with experience. Full details will be discussed during the screening process.
Equal Employment Opportunity: Get A Job.ai is committed to diversity and inclusion. We encourage applications from all qualified candidates regardless of race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, or any other characteristic protected by law.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Terms used in this posting
- background check
- The employer will verify your history (e.g. employment, criminal record, or credit) as a standard part of the hiring process, usually after a conditional offer.
Explore Get A Job.ai online
Working in USA
The United States of America (USA), also known as the United States (U.S.) or America, is a country primarily located in North America. It is a federal republic consisting of 50 states and a federal capital district, Washington, D.C. The 48 contiguous states border Canada to the north and Mexico to the south, with the semi-exclave of Alaska in the northwest and the archipelago of Hawaii in the Pacific Ocean. The United States also asserts sovereignty over five major island territories and various uninhabited islands in Oceania and the Caribbean. It is a megadiverse country, with the world's th
🇺🇸 Relocation safety for US: Exercise Normal Caution — via Warnely, CC BY 4.0
National unemployment rate in US: 4.2% — via World Bank
National job openings rate: 4.4% — via BLS JOLTS
Private-sector wage growth (year over year): 3.1% — via FRED
National quits rate: 2.0% — via FRED (BLS JOLTS)
Weekly initial unemployment claims: 196,000 — via FRED
GDP per capita in US: $90,027 — via World Bank
Consumer price inflation in US: 2.9% (annual) — via World Bank
Real GDP growth in US: 2.2% (annual) — via World Bank
Average hours worked per year in US: 1,800 — via OECD
About this role & career path
Traits that fit this role
- Innovation
- Achievement Orientation
- Intellectual Curiosity
- Cautiousness
- Attention to Detail
Source: O*NET Work Styles (Distinctiveness Rank).
Typical preparation needed: Job Zone 4: Considerable Preparation Needed. Most of these occupations require a four-year bachelor's degree, but some do not. — via O*NET
Industry news
- I was a software engineer who couldn't get excited about AI. Now I'm studying to be a nurse. - Business Insider
- ‘AI code apocalypse’ hasn’t hit engineers as hard as the industry may think - itbrew.com
- The Great Coding Reset: How AI is changing software engineering - Business Insider
Source: O*NET (public-domain bulk data)
Salary & compensation
Workers in Computer & Mathematical occupations earn a national median of $98,769 — via US Census ACS / Data USA
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Data Engineer (FedD024)
- Employer Get A Job.ai
- Location USA · Remote-friendly
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 19, 2026
- Apply by October 19, 2026
- Country United States
- Overview Full job description on this page (544 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Develop and document database architectures.
- Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
- Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
- Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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Occupation family: Data Engineer
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