Cloud Data Engineer

ECS Tech Inc • Fairfax, VA

10h • Hybrid

About The Position

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.

Requirements

• 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).

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level