Senior Data Engineer

INTELLITECH LLC; Alexandria (VA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

401(k)

Health insurance

Dental insurance

Vision insurance

Paid time off

Flexible schedule

Training & development

Job summary

INTELLITECH LLC is seeking a Senior Data Engineer in Alexandria, VA to develop scalable data pipelines and support data integration in secure federal environments. The ideal candidate will have strong experience with Python, SQL, and modern analytics tools like Databricks and Tableau.

This hybrid position requires an active DoD Secret clearance and offers a comprehensive benefits package including health, dental, and vision insurance, 401(k), and flexible work arrangements.

Qualifications

• Active DoD Secret clearance required.
• 4+ years of relevant experience with a Bachelor’s degree or 2+ years with a Master’s.
• Strong experience with ETL/ELT workflows and data integration in enterprise environments.

Responsibilities

• Design and maintain scalable data pipelines.
• Support integration workflows across data sources.
• Enable analytics and reporting use cases.

Skills

Python

SQL

Data pipeline development

Git-based version control

Analysis and reporting

Education

Bachelor’s degree in Computer Science

Master’s degree in a related field

Tools

Databricks

Tableau

Power BI

Palantir

Qlik

Job description

Benefits

• 401(k)
• Competitive salary
• Dental insurance
• Flexible schedule
• Health insurance
• Opportunity for advancement
• Paid time off
• Training & development
• Vision insurance

Location: Hybrid - Washington D.C. / DMV

Based Clearance: Active DoD Secret clearance required

Citizenship: U.S. Citizenship required

Position Overview

IntelliTech is seeking a Senior Data Engineer to support mission‑critical programs focused on data integration, analytics enablement, and operational decision support in secure federal environments. In this role, you will work closely with engineers, analysts, and mission stakeholders to develop scalable data pipelines, integrate enterprise data sources, and enable reporting and visualization workflows across modern analytics and BI platforms.

The ideal candidate brings strong hands‑on experience with Python, SQL, data pipeline development, and enterprise analytics platforms such as Databricks, Palantir, Tableau, Power BI, Qlik, or similar tools. This role is designed for an engineer who can support the full lifecycle of data solutions—from ingestion and transformation through validation, analytics enablement, visualization support, and sustainment.

Key Responsibilities

1. Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and operationalize data from a variety of enterprise sources.
2. Build and support data integration workflows across structured and unstructured data sources, including APIs, files, cloud storage, databases, and enterprise platforms.
3. Enable analytics and reporting use cases by preparing curated datasets and supporting integration with BI and analytics tools such as Tableau, Databricks, Palantir, Power BI, Qlik, or similar platforms.
4. Support the development of data models, transformation logic, and reusable engineering patterns that improve data access, decision support, and operational visibility.
5. Collaborate with analysts, engineers, and stakeholders to refine requirements and deliver data products aligned to mission needs.
6. Support testing, debugging, validation, and performance tuning of data pipelines and analytics workflows.
7. Leverage Git‑based repositories and version control best practices to manage engineering efforts.
8. Participate in Agile development activities, including sprint planning, backlog refinement, demos, and retrospectives.
9. Document technical designs, data flows, transformation logic, and engineering processes to support maintainability and knowledge transfer.
10. Contribute to secure, scalable, and repeatable delivery practices across cloud and DevSecOps environments.

Required Qualifications

• Active DoD Secret clearance.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 4+ years of relevant experience; or Master’s degree in a related field and 2+ years of relevant experience.
• Strong experience building or supporting data pipelines, ETL/ELT workflows, and data integration solutions in enterprise environments.
• Hands‑on experience with Python and SQL.
• Experience with one or more modern analytics, BI, or data platform tools such as Databricks, Palantir, Tableau, Power BI, Qlik, or similar technologies.
• Experience supporting reporting, analytics, dashboarding, or data visualization use cases.
• Familiarity with cloud‑based data environments and enterprise data workflows.
• Familiarity with Git‑based version control and collaborative development workflows.
• Strong problem‑solving and troubleshooting skills.
• Excellent communication and collaboration skills, with the ability to work effectively across cross‑functional teams.

Preferred Qualifications

• Experience supporting mission‑oriented analytics, logistics, operational, financial, or other large‑scale federal data environments.
• Experience with Spark, PySpark, Databricks notebooks, semantic models, BI dashboards, or enterprise reporting pipelines.
• Experience with Palantir platform components, including Foundry, ontology concepts, or data workflows.
• Familiarity with DevSecOps best practices, CI/CD workflows, and modern software delivery methodologies.
• Experience working in Agile environments supporting enterprise software or analytics platforms.
• Exposure to data governance, metadata management, lineage, or enterprise data architecture concepts.
• Experience working with APIs, S3/object storage, or cloud‑native data services.
• Top Secret clearance or eligibility is a plus.

Interview Process

• Video interview required and may include a technical assessment.
• Candidates should be prepared to discuss: hands‑on experience building data pipelines and analytics workflows, examples of data integration, reporting, or BI solutions they have built or supported, mission or business problems their solutions helped solve, their experience working with large datasets and enterprise data environments, proficiency with Python, SQL, and analytics/BI tools such as Databricks, Tableau, Palantir, Power BI, or Qlik, and availability to support work in the Washington, DC Metro Area as needed.

Work Authorization / Clearance Sponsorship

At this time, IntelliTech will only consider candidates who currently possess an active Secret clearance or higher. Clearance sponsorship is not available for this role.

Compensation and Benefits

IntelliTech is committed to fair and equitable compensation practices. Actual compensation packages are based on several factors unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on these factors, IntelliTech utilizes the full width of the salary range.

IntelliTech provides a comprehensive benefits package designed to support employees’ well‑being and professional growth, including health, dental, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work‑life balance.

Equal Opportunity Employer

At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe a variety of backgrounds and perspectives leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.

Flexible work from home options available.