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Data Engineer Security Clearance
Job in
Chantilly, Fairfax County, Virginia, 20151, USA
Listed on 2026-07-15
Listing for:
Fantom Corporation
Full Time
position Listed on 2026-07-15
Job specializations:
-
Software Development
Data Engineering, AWS
Job Description & How to Apply Below
Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth. We are seeking a Data & Software Engineer to join a small, agile team developing advanced data solutions for a custom application supporting mission-critical operations.
This role is focused on designing, building, and optimizing scalable data pipelines and ETL workflows while leveraging modern cloud technologies, distributed data processing frameworks, and AI/ML capabilities. The ideal candidate has strong Python programming skills, experience building production-grade data pipelines, and expertise with Apache Spark, AWS cloud services, relational databases, and modern data engineering best practices. Responsibilities
* Design, develop, and maintain scalable, end-to-end data pipelines and ETL/ELT workflows supporting enterprise applications
* Build and optimize distributed data processing solutions using Apache Spark and Py Spark
* Develop robust Python applications and automation scripts to support data engineering initiatives
* Deploy and manage data pipelines using workflow orchestration platforms such as AWS Step Functions or Apache Airflow
* Containerize and deploy data applications within AWS cloud environments using Docker, Podman, or similar technologies
* Design, optimize, and maintain PostgreSQL and MySQL databases, including schema design, indexing, and query optimization for analytical workloads
* Collaborate with stakeholders to gather requirements, assess technical feasibility, and design scalable data solutions
* Troubleshoot and resolve data quality issues, pipeline failures, and performance bottlenecks
* Implement and support data governance, security, privacy, and compliance best practices
* Develop and maintain technical documentation, architecture diagrams, and engineering standards
* Support large-scale data migration and platform modernization initiatives
* Integrate AI/ML services, machine learning models, and advanced analytics capabilities into enterprise data platforms
* Utilize Git and CI/CD pipelines to support automated testing, deployment, and version control
Required Qualifications
* Must be fully cleared with a recent polygraph
* Must be willing and able to work fully onsite at the location listed in this posting
* 5+ years of experience as a Data Engineer, Software Engineer, or similar technical role
* Demonstrated experience building production-scale data pipelines and ETL/ELT workflows
* Advanced programming experience with Python, including libraries such as Pandas and Num Py
* Strong experience with Apache Spark and PySpark for distributed data processing
* Experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions
* Experience deploying containerized applications using Docker, Podman, or similar technologies
* Experience developing cloud-native applications within AWS environments
* Hands-on experience with AWS services including Amazon S3, AWS Lambda, and AWS Step Functions
* Strong experience with PostgreSQL and MySQL, including schema design, performance tuning, and query optimization
* Advanced SQL skills supporting large-scale analytical workloads
* Experience with Git and CI/CD practices for data engineering and software deployment
* Understanding of data governance, privacy, security, and compliance principles
* Strong analytical, troubleshooting, and problem-solving skills
* Experience collaborating directly with stakeholders to gather requirements and deliver technical solutions with minimal oversight * #CJ Desired Qualification
* Experience designing and implementing Lakehouse architectures using Apache Iceberg
* Experience configuring and supporting enterprise data platform technologies, including:
* Apache Ranger
* Trino
* Apache Polaris or Unity Catalog OSS
* Apache Superset
* Experience with Infrastructure as Code (Terraform or AWS Cloud Formation)
* Proficiency with Bash scripting for automation and operational support
* Experience tracking data lineage using Open Lineage or similar tools
* Working knowledge of Java
* Experience implementing data quality frameworks, automated testing, and validation strategies
* Experience supporting enterprise data modernization and large-scale migration initiatives
* Experience integrating AI/ML services, including OCR, NLP, speech-to-text, language detection, translation services, topic modeling, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) pipelines
* Experience processing geospatial data using technologies such as H3, PostGIS, or similar frameworks
* Experience with No
SQL databases such as DynamoDB
* Experience developing engineering standards, documentation, and reusable design patterns Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security…
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