Job Description ECS is seeking a
Cloud Data Engineer to work in a hybrid onsite / remote capacity from our
Fairfax, VA office to work as a member of a team implementing a new cloud-based application.
Please Note: This position is contingent upon additional funding. The Cloud Data Engineer will lead, together with an application developer, the design and implementation of a new cloud-based application that will serve as the foundation for future artificial-intelligence (AI) capabilities. The incumbent will:
- Gather and analyze customer requirements, data sources, and workflow needs.
- Leverage deep knowledge of cloud platforms (AWS, Azure) and AI technologies to create a production-ready solution within a DevSecOps framework.
- Bridge strategy, architecture, and development to help the Department of War (DoW) become more data-centric and insight-driven.
- Integrate Commercial-Off-The-Shelf (COTS) products, consume APIs, interact with data repositories, and manage cross-domain system interfaces.
Responsibilities:
- Develop a roadmap that links architectural capabilities to the organization's data challenges.
- Work directly with developers to deliver solutions, provide customer support, and perform solutioning.
- Communicate technical concepts to stakeholders at all levels, building relationships, offering guidance, and articulating business value.
- Mentor data - engineers, establish best - practice standards, conduct code reviews, and explain the business impact of solutions.
- Operate in an Agile environment, applying advanced design and engineering best practices.
- Build data - driven solutions that improve business insight, support operational decisions, and enable performance management.
Required Skills - U.S. Citizen.
- Ability to obtain and maintain a Top Secret with SCI security clearance.
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
- Active DoD 8140 IAT Level II or higher (e.g., CompTIA Security+) and SAA-C03 AWS Certified Solutions Architect - Associate certifications.
- 10 + years of experience building analytical tools, including AI/ML - based solutions.
- Proven record of delivering high - quality software that is accurate, efficient, reliable, maintainable, and scalable.
- Strong foundation in data - engineering fundamentals - ingestion, cleaning, transformation, storage, fusion, and visualization.
- Hands - on experience with cloud - native data and AI services on AWS and Azure (e.g., S3, Redshift, Athena, Glue, Azure Data Lake, Synapse, Azure Machine Learning, etc.).
- Programming languages: Python (primary), Java, Scala or another language; strong SQL skills.
- Data-orchestration tools: Apache Airflow, Azure Data Factory, AWS Step Functions, etc.
- Data-lake/warehouse platforms: Snowflake, Redshift, Synapse, BigQuery, Delta Lake.
- Advanced SQL + Python/Scala for ETL, analytics, and model-serving pipelines.
- Understanding of scaling & performance for distributed/cloud systems.
- Familiarity with AI/ML concepts, automation, and scripting.
- Experience designing Zero-Trust data architectures - encryption, IAM policies, audit logging.
- Professional software-development practices: version control (Git), automated testing, code review, and modular design.
- Strong technical writing, presentation, and communication skills for reports, proposals, and stakeholder briefings.
- Translate strategic goals into concrete technical roadmaps.
- Partner with developers to prototype, test, and deploy solutions.
- Serve as a liaison between technical teams and business leadership, ensuring alignment on priorities and outcomes.
- Foster a culture of continuous improvement and knowledge sharing.
- Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.
- Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management).
Desired Skills - Active Secret clearance.
- Prior experience in data engineering, data science, data architecture, or database/search technologies.
- Experience processing bulk datasets (e.g., terabyte-scale ETL jobs).
- Hands-on work with serverless design patterns (e.g., AWS Lambda, Azure Functions, serverless web apps).
- Strong grasp of federal data policies, metadata standards, and cross-domain security considerations.
- Familiarity with data-visualization tools (both open-source and commercial).
ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3300+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.
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