About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is hiring a Data Engineer for an on-site, full-time role in North Chevy Chase, MD. You will design, build, and operate enterprise-scale data systems that enable advanced analytics and AI capabilities. This is a mission-driven position supporting government and intelligence-related initiatives, requiring strong engineering discipline and strict adherence to security requirements.

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Key Responsibilities

• Design and implement data warehouses, data lakes, and enterprise data pipelines.
• Build scalable, cloud-based data architectures that support analytics and AI workflows.
• Develop ETL/ELT processes and create preprocessed datasets for machine learning and analytics.
• Integrate and ingest data from multiple sources, ensuring data quality and lineage.
• Implement security, access controls, and operational controls to meet classified program requirements.
• Optimize performance of data platforms for throughput and low-latency analytics.
• Collaborate with data scientists, analysts, and system engineers to deliver production-ready data products.

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Required Clearance & Screening

• TS/SCI security clearance with polygraph is required. Additional security screenings may apply.
• Candidates must be eligible to hold/renew the required clearance and meet program-specific vetting.

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Qualifications

• Proven experience designing and operating large-scale data pipelines, data warehouses, or data lakes.
• Experience with cloud data services (for example: AWS, Azure, or GCP) and cloud-native data engineering tools.
• Strong programming skills in languages commonly used for data engineering (e.g., Python, SQL, Scala, Java).
• Familiarity with ETL/ELT frameworks, data modeling, and data versioning practices.
• Understanding of security best practices for handling sensitive/classified data.
• Excellent problem-solving, communication, and collaboration skills.

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Education & Experience (by level)

Candidates must meet one of the combinations below at the applicable level:

Entry

• HS/GED + 6 years experience
• Associate's + 4 years experience
• Bachelor’s + 2 years experience
• Master's degree (experience may be substituted as appropriate)

Journeyman

• HS/GED + 8 years experience
• Associate's + 6 years experience
• Bachelor’s + 4 years experience
• Master’s + 2 years experience

Senior

• HS/GED + 10 years experience
• Associate's + 8 years experience
• Bachelor’s + 6 years experience
• Master’s + 4 years experience
• PhD + 2 years experience

Expert / Master

• HS/GED + 12 years experience
• Associate's + 10 years experience
• Bachelor’s + 8 years experience
• Master’s + 6 years experience
• PhD + 4 years experience

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Location, Type & Compensation

• Location: North Chevy Chase, MD (on-site)
• Employment type: Full-time
• Estimated pay (from source): $130,245 per year (estimated)

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Why Join

• Work on high-impact, mission-driven programs supporting government intelligence and communications.
• Collaborate with multidisciplinary teams to build data platforms that power analytics and AI capabilities.
• Contribute to a culture of engineering excellence, security, and operational readiness.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.