Location : Herndon / Chantilly, VA
Clearance Required : TS / SCI with Full Scope Polygraph (FSP)
Position Type : Full-Time, On-Site
Salary Range : $235,000 – $255,000
We are seeking a highly skilled Senior Data Engineer to support the design, development, and optimization of mission-critical data engineering solutions for a federal program. This position requires extensive experience in the full data lifecycle, including data movement, ingestion, transformation, and modeling in both on-prem and cloud-based environments. The ideal candidate will bring a strong command of ETL pipelines, data formatting tools, and modern data engineering frameworks to support advanced analytics and mission-driven insights.
Primary Responsibilities :
- Develop scalable tools, services, and code to execute complex data engineering tasks involving structured and unstructured data.
- Design, implement, and maintain robust ETL pipelines using technologies such as Spark, Apache NiFi, Apache Iceberg, and Trino.
- Ingest and transform data for enterprise-level storage and exploration, ensuring format standardization and compliance with mission objectives.
- Collaborate with data scientists and mission partners to understand source data and define transformations supporting operational outcomes.
- Clean, preprocess, and condition data to support downstream analytics, ensuring data quality, integrity, and lineage (pedigree / provenance).
- Build services for one-time and recurring data extractions and conversions across local and enterprise repositories.
- Support cloud-based processing using AWS EMR and Kubernetes, and contribute to OpenSearch integrations.
- Produce comprehensive documentation including ETL mappings, code usage guidelines, and system access protocols.
- Coordinate with engineering teams and data stewards to integrate and operationalize new data processing platforms.
- Participate in Agile development processes and data governance working groups to enhance enterprise data standards and practices.
Requirements
Minimum Qualifications :
10+ years of professional experience in data engineering, including :Full data lifecycle engineering (collection, transformation, storage, distribution)Development and maintenance of ETL pipelines and data transformation workflowsCloud and on-premise data solutionsProficiency in Python, SQL, Spark, and modern data engineering languagesExperience with COTS / open-source data tools such as ElasticSearch and Apache NiFiProven track record of delivering within Agile software development lifecyclesAbility to work full-time on-site in Herndon / Chantilly, VA.Active TS / SCI clearance with Full Scope Polygraph (FSP) is required at the time of application.Preferred Qualifications :
Experience applying Artificial Intelligence (AI) and Large Language Models (LLMs) to optimize data processing and transformation.Familiarity with emerging data pipeline architectures and advanced cloud-native tools.Exposure to data stewardship and enterprise data governance principles.Eligibility :
Must be legally authorized to work in the United States without employer sponsorship, now or in the future.Active TS / SCI with Full Scope Polygraph (FSP) clearance is required for this role.Benefits
Salary :
Salary for this position is determined based on factors such as location, qualifications, experience, and contract-specific budget considerations.
Proposed Salary Range : $235,000 – $255,000
Benefits :
Our client offers a comprehensive and competitive benefits package, including :
100% Company-Paid Health Insurance : Full coverage for medical, dental, and vision insurance for employees and their dependents (United Healthcare and Guardian).Protection Plans : Employer-paid life, short-term disability, and long-term disability insurance.401(k) Retirement Contribution : 15% of base salary contributed by the company, fully vested from day one.Paid Time Off : 200 hours of PTO annually (accrued), in addition to 11 federal holidays.Bonuses : Recruitment and business development bonus opportunities based on performance and company growth.