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Data Flow Engineer Jobs in Virginia (NOW HIRING)

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Produce and maintain technical documentation, data flow diagrams, interface specifications, data dictionaries, and engineering standards. * Provide technical leadership, mentoring, and knowledge ...

Knight Federal Solutions, Inc.

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Job Purpose The Data Engineer at Knight Federal Solutions Inc will be responsible for designing ... Implement data collection, transformation, and storage strategies to optimize data flow and ...

Booz Allen Hamilton

Data Engineer, Senior

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer, Senior The Opportunity: Booz Allen is seeking a Data Engineer to help troubleshoot ... Knowledge of data platforms, databases, ETL or data flow processes, and system monitoring tools

Fantom Corporation

Jr Data Engineer

Chantilly, VA

$117K - $140K/yr

We are seeking a Data Engineer to design, build, and maintain modern data solutions supporting ... Develop technical documentation, data flow diagrams, and operational procedures Required ...

VTG

Data Engineer Expert

Herndon, VA · Hybrid

$117K - $141K/yr

The ideal candidate will integrate diverse data streams, optimize data flow across secure ... Information Technology, Engineering, or related field preferred • Minimum of 11 years of ...

Delaware Nation Industries

Data Engineer

Dahlgren, VA · On-site

$116K - $140K/yr

DNI is seeking a highly qualified Data Engineer to support the Joint Warfare Analysis Center (JWAC ... Support security assessments, compliance documentation, data-flow diagrams, control mappings, and ...

Delaware Nation Industries

Data Engineer

Dahlgren, VA · On-site

$116K - $140K/yr

DNI is seeking a highly qualified Data Engineer to support the Joint Warfare Analysis Center (JWAC ... Support security assessments, compliance documentation, data-flow diagrams, control mappings, and ...

Delaware Nation Industries

Data Engineer

Dahlgren, VA · On-site

$116K - $140K/yr

DNI is seeking a highly qualified Data Engineer to support the Joint Warfare Analysis Center (JWAC ... Support security assessments, compliance documentation, data-flow diagrams, control mappings, and ...

Phase2 Technology

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Overview Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer to architect, develop ... Experience with NiFi for data flow automation * Experience with Kubernetes, Helm, ArgoCD, or ...

Booz Allen Hamilton

Data Engineer, Senior

Chantilly, VA

$77K - $176K/yr

Data Engineer, Senior The Opportunity: Booz Allen is seeking aData Engineerto help troubleshoot and ... Knowledge of data platforms, databases, ETL or data flow processes, and system monitoringtools

Key Choice Group

Senior Data Engineer/Architect

Richmond, VA · On-site

$61.75 - $82.75/hr

Knowledge of modeling conventions for both data (data models) and process (data flow diagrams and process models) * Proficiency in programming languages such as Python, Java, or Scala, and experience ...

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Data Engineer

Herndon, VA • On-site

Platinum Technologies
See more jobs at Platinum Technologiesexternal

$117K - $141K/yr

Full-time

Re-posted 4 days ago

Job description

Who we are.
Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products - we want to hear from you.
We lead with technical expertise, but that is just the tip of the iceberg - the 'Why' matters. At Platinum, we don't hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.
This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.
You.
Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and optimization of enterprise data engineering solutions supporting Object-Based Intelligence (OBI) mission requirements, ontology-driven data integration, and advanced analytics.
The Data Engineering Subject Matter Expert serves as the senior technical authority for developing and implementing scalable data architectures, pipelines, and integration frameworks that enable the ingestion, transformation, management, and delivery of structured, semi-structured, and unstructured data. This position applies data engineering best practices to support enterprise ontologies, knowledge graphs, Semantic Web technologies, and AI/ML applications while ensuring data quality, governance, interoperability, and security across diverse mission systems. Working closely with ontology engineers, software engineers, database engineers, data scientists, and Government stakeholders, the Data Engineering SME develops modern data solutions that support mission analytics, knowledge discovery, and decision advantage.
What you get to do.
  • Lead the design, development, and implementation of enterprise data engineering solutions supporting Object-Based Intelligence mission requirements.
  • Design and optimize scalable data pipelines for ingesting, transforming, validating, and integrating data from multiple internal and external sources.
  • Develop data integration frameworks that support enterprise ontologies, knowledge graphs, and Semantic Web technologies, including RDF, OWL, and SPARQL.
  • Collaborate with ontology engineers, software engineers, database engineers, analysts, and Government stakeholders to translate mission requirements into scalable data engineering solutions.
  • Design and implement data architectures supporting cloud-native, distributed, and hybrid computing environments.
  • Establish data quality, metadata management, lineage, and governance processes to ensure consistency, traceability, and interoperability across enterprise data assets.
  • Optimize data processing performance using modern distributed processing frameworks and scalable storage technologies.
  • Support AI/ML initiatives by developing reliable, high-quality data pipelines that provide curated datasets and semantic context for model training, inference, and decision support.
  • Develop automated monitoring, validation, and testing capabilities to ensure data accuracy, completeness, and operational reliability.
  • Produce and maintain technical documentation, data flow diagrams, interface specifications, data dictionaries, and engineering standards.
  • Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding data engineering best practices, modern data architectures, and enterprise integration strategies.

Required Skills.
  • Must be a U.S. citizen and have an active TS/SCI with CI polygraph.
  • Minimum twelve (12) years of experience and an advanced degree or 17 years of experience with a bachelor's degree.
  • Demonstrated experience designing and implementing enterprise-scale data engineering solutions and data integration architectures.
  • Experience developing ETL/ELT pipelines using modern data engineering tools and frameworks.
  • Experience integrating structured, semi-structured, and unstructured data from heterogeneous enterprise data sources.
  • Experience with relational databases, NoSQL databases, graph databases, and distributed data processing platforms.
  • Knowledge of data modeling, metadata management, data governance, and enterprise data architecture principles.
  • Familiarity with Semantic Web technologies, knowledge graphs, or ontology-based data integration.
  • Experience supporting cloud-based or containerized data platforms, including Kubernetes and OpenShift.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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