Senior Data Engineer

Location:
Washington, DC Metro Area / Northern Virginia

Work Schedule:
Hybrid; candidates should be available to support onsite in the DC Metro Area 2–3 days per week or on an as-needed basis

Clearance:
Active DoD
Secret
clearance required;
Top Secret / SCI eligibility preferred

Citizenship:
U.S. Citizenship required

Position Overview

IntelliTech is seeking a
Senior Data Engineer
to support a large-scale
DoD data platform and analytics environment
. In this role, you will design, build, maintain, and optimize scalable data pipelines and data products that enable mission-critical analytics, reporting, and downstream data use cases in a complex enterprise setting.

The ideal candidate brings strong hands-on experience with
Databricks, PySpark, Python, SQL, and cloud-based data engineering
, along with a proven ability to work across large data environments, integrate disparate data sources, and deliver reliable, secure, and high-performing data solutions.

Key Responsibilities

- Design, develop, and maintain scalable batch and streaming data pipelines supporting enterprise analytics and data operations.
- Build and optimize
Databricks
and
PySpark
workflows for ingestion, transformation, validation, and processing of large datasets.
- Develop robust ETL/ELT solutions across structured and unstructured data sources, including APIs, relational databases, NoSQL databases, and cloud storage.
- Support data modeling, pipeline orchestration, data quality, lineage, and performance tuning across the data lifecycle.
- Implement and maintain cloud-native data engineering solutions in environments such as
AWS, Azure, or GCP
.
- Collaborate with engineers, analysts, data scientists, and other stakeholders to support reporting, analytics, and AI/ML data preparation workflows.
- Integrate data pipelines into
DevSecOps / CI/CD
workflows and support secure, repeatable deployment practices.
- Troubleshoot pipeline failures, improve observability, and optimize the performance and reliability of enterprise data services.
- Contribute to technical documentation, engineering standards, and best practices for enterprise-scale data development.
- Operate effectively within
Agile / SAFe
delivery environments supporting mission systems.

Required Qualifications

- Active
DoD Secret clearance
.
- Bachelor’s degree
in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline, and
8+ years of relevant experience
; or
Master’s degree
in a related field and
6+ years of relevant experience
.
- Strong hands-on experience designing, building, and maintaining production-grade data pipelines and integration solutions.
- Strong experience with
Databricks, Apache Spark, and PySpark
in enterprise data environments.
- Strong programming skills in
Python
and
SQL
; experience with Java or similar languages is a plus.
- Experience implementing ETL/ELT pipelines and data integration processes across multiple sources and platforms.
- Experience with relational and non-relational databases, data modeling, and query optimization.
- Experience working in cloud-based data environments such as
AWS, Azure, or GCP
.
- Experience with source control, CI/CD pipelines, and modern software engineering practices.
- Ability to identify and resolve issues related to data quality, pipeline performance, and operational reliability.
- Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams.

Preferred Qualifications

- Active
Top Secret clearance
with
SCI eligibility
.
- Experience supporting enterprise data platforms in
DoD or other federal environments
.
- Experience with
data governance, metadata management, lineage, and access control
concepts.
- Experience with
Airflow, Kafka, Docker, Kubernetes
, or related orchestration and containerization technologies.
- Experience supporting data engineering solutions in secure or multi-environment enterprise settings.
- Relevant cloud or data engineering certifications.

Interview Process

- Video interview required and may include a technical assessment.
- Candidates should be prepared to clearly discuss:
- their hands-on experience with
Databricks, PySpark, Python, and SQL
- examples of pipelines or data applications they have built from the ground up
- large-scale data challenges they have solved
- their experience with cloud, ETL/ELT, and enterprise data engineering best practices

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. The annual salary range for this position is
$140,000 to $225,000
, and actual compensation will be based on a variety of factors unique to each candidate, including job-related skills, relevant experience, certifications, training, and level of seniority. IntelliTech uses the full breadth of the salary range in making compensation decisions.

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

About IntelliTech

IntelliTech is a dynamic and forward-thinking small business specializing in
Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps
services. We support government and commercial clients in solving complex technical challenges through practical, mission-focused engineering and delivery excellence.

Equal Opportunity Employer

IntelliTech is an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We encourage all qualified candidates to apply.