Virginia

Data Jobs in Virginia

317 jobs found

Include remote jobs

2mo ago

Data Engineer

Amazon.com Services LLC Arlington, VA

Arlington, VA

2mo ago Closed

$132k - $206k/yr Full time Python Amazon Emr Amazon Web Services

This position is no longer accepting applications (closed Jul 29, 2026).

Job Description

Amazon's PXT Central Science team is seeking a Data Engineer to design, build, and maintain data pipelines and analytics that reveal the drivers behind shifts in employee sentiment, actions, and business outcomes. This on-site role in Arlington, VA collaborates with economists, data scientists, and software engineers to productionize science models and deliver scalable data solutions that support decision-making across the organization.

Responsibilities

Data pipeline development: Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); implement monitoring and error handling for data workflows; optimize performance, reliability, and cost efficiency.
Model productionization and API development: Develop and maintain APIs and data serving layers that productionize science models for downstream consumption; build batch and real-time inference pipelines.
Data integration and quality: Build scalable feature extraction and processing frameworks for diverse data types; develop robust data quality and validation checks; create flexible schemas supporting evolving requirements.
Cross-team collaboration: Partner with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions.
Analytics and infrastructure: Maintain layered data systems used by economists and scientists; build automated reporting solutions; operate across multiple interconnected AWS accounts with security best practices.

Requirements

Knowledge of professional software engineering and best practices for the full software development lifecycle, including coding standards, software architectures, code reviews, source control, continuous deployments, testing, and operational excellence.
3+ years of data engineering experience.
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
Experience with data modeling, warehousing, and building ETL pipelines.
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases).
Bachelor's degree or foreign equivalent in computer science, engineering, mathematics or equivalent.

Technologies

Python
Java
Scala
NodeJS
AWS Glue
EMR
Lambda
Redshift
S3
Kinesis
FireHose
IAM
Hadoop
Hive
Spark
Generative AI

Benefits

Health insurance (medical, dental, vision, prescription)
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Adoption and Surrogacy Reimbursement coverage
Employee Assistance Program (EAP) and Mental Health Support
Medical Advice Line
Flexible Spending Accounts (FSA)
Basic Life & AD&D insurance
Optional supplemental life plans

About the Team

The Central Science Team within Amazon’s People Experience and Technology organization (PXTCS) brings together economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements that enhance Amazon and the lives, well-being, and value of work for Amazonians. This interdisciplinary group combines the talents of science, engineering, and user experience to develop solutions that measurably advance this goal.

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2mo ago

Data Engineer - Analytics Platforms

Peraton Herndon, VA

Herndon, VA

2mo ago Closed

$86k - $138k/yr Full time Analytics Automation Big Data

This position is no longer accepting applications (closed Jul 29, 2026).

Job Description

Peraton Labs in Herndon, VA offers an onsite Data Engineer position with a salary range of USD 86,000 to 138,000 per year. This role sits within the Analytics Platforms group and emphasizes hands-on development of data pipelines, transformations, and data-backed components for analytics, visualization, and evolving agentic AI workflows within the FAA BNATCS program. The team focuses on practical, scalable solutions that connect diverse data sources, backend services, and data-driven applications to deliver real impact in a collaborative, mission-driven environment.

Benefits

Medical
Dental
Vision
Life
Health savings account
Short/long term disability
EAP
Parental leave
401(k)
Paid time off PTO for vacation
Company paid holidays

Responsibilities

Design, build, and maintain end-to-end data pipelines, transformations, integrations, and supporting application logic for the Digital Command Center
Create data-driven components that power dashboards, analytics products, visualization layers, and internal decision-support tools
Develop production-quality code to ingest, process, transform, and expose data for downstream use
Collaborate with data, systems, operations, and visualization stakeholders to translate requirements into technical solutions
Integrate multiple structured and semi-structured data sources to meet evolving program needs
Develop and refine backend logic, APIs, scripts, or services that enable analytics and user-facing data products
Operationalize data flows and application functionality in support of internal Agentic AI tools and workflows
Contribute to practical, maintainable technical solutions rather than one-off analyses
Identify performance issues, data quality problems, integration gaps, and technical constraints affecting delivery
Collaborate with architects, data leads, and software teams to ensure scalable, supportable solutions aligned with broader platform goals
Support rapid iteration in a dynamic environment where requirements and use cases evolve

Requirements

Bachelor of Science with 5+ years of experience, or Master of Science with 3+ years, or PhD in Computer Science, Data Engineering, Information Systems, Data Analytics, or a related field
Strong hands-on development experience with Python
Strong SQL skills and experience with relational and/or analytical data stores
Experience building data pipelines, transformation workflows, backend data services, or data-driven applications
Experience with Agentic AI systems, autonomous workflows, MCP and system tools, LLM-enabled applications, or intelligent orchestration environments
Proven ability to write code and develop technical solutions in production, prototype, or mission-support contexts
Experience integrating data from multiple sources for downstream analytics, dashboards, or applications
Experience with cloud environments, containerization, and deployment tooling such as Docker, Kubernetes, or Terraform
Ability to operate at the intersection of technical implementation and business or mission needs
Strong analytical thinking, problem-solving ability, and attention to detail
US Citizenship with the ability to obtain and maintain FAA Public Trust suitability

Technologies

Python, SQL, Docker, Kubernetes, Terraform, JavaScript, TypeScript, Java, C++, PostgreSQL, MySQL, Snowflake, BigQuery, Redshift

EEO

Peraton is an equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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2mo ago

Databricks Data Engineer

Deloitte McLean, VA

McLean, VA

2mo ago Closed

$87k - $171k/yr Full time Azure Azure Databricks Big Data

This position is no longer accepting applications (closed Jul 28, 2026).

Job Description

Deloitte seeks a Databricks Data Engineer to design, build, and optimize cloud-based data platforms for large-scale analytics and AI initiatives in an onsite role in McLean, VA, with a salary range of USD 86,700 to 170,900 per year.

Responsibilities

Architect and implement data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL.
Support modernization of enterprise data platforms by deploying cloud-centric ingestion, transformation, and storage patterns.
Develop and sustain batch and streaming data workflows to power reporting, analytics, and AI use cases.
Apply data architecture, integration, and modeling practices to improve data quality, scalability, and platform performance.
Collaborate with client teams and Deloitte colleagues to troubleshoot issues, implement enhancements, and support the delivery of large-scale data transformation programs.
Lead projects or workstreams and coordinate across teams to meet objectives.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics.
3+ years of experience in data engineering, ETL development, or data platform engineering.
2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and SQL.
Experience implementing data models, data integration patterns, and cloud-based data processing workflows.
Experience with at least one cloud platform: AWS, Azure, or GCP.
Ability to travel approximately 50 percent based on client engagements and industries served.
Limited immigration sponsorship may be available.
Minimum 2 years of overall experience.
Ability to work independently as well as in a team environment.
Effective written and verbal communication skills.
Meticulous attention to detail and commitment to quality.
Ability to build and sustain professional relationships.
Ability to lead projects or workstreams.
Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines and provide clear guidance to others.

Technologies

Databricks
Apache Spark
Python
SQL
AWS
Microsoft Azure
Google Cloud Platform (GCP)
Delta Lake
Databricks Workflows
Unity Catalog
Git
CI/CD pipelines

Preferred qualifications

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Experience using Git-based version control and CI/CD pipelines
Experience supporting batch and streaming data workloads
Experience with data warehousing, lakehouse architecture, and performance optimization
Experience supporting analytics or machine learning data pipelines
Experience working in consulting or client service delivery environments

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2mo ago

Data Engineer III (Secret Clearance Required)

Deloitte Arlington, VA

Arlington, VA

2mo ago Closed

$108k - $180k/yr Full time Analytics Artificial Intelligence Business Intelligence

This position is no longer accepting applications (closed Jul 28, 2026).

Job Description

Deloitte seeks a Data Engineer III to join the AI and Data team in Arlington, VA. The role centers on designing, building, and maintaining data pipelines and workflows that enable analytics, reporting, and operational activities across cloud and enterprise data environments. A security clearance is required for this position.

Location

Arlington, VA (onsite)

Salary

USD 107,700 - 179,500 per year

Responsibilities

Architect and sustain data pipelines and workflows that enable analytics, reporting, and operational use cases.
Develop, test, and deploy data engineering solutions across cloud and on‑premises data environments.
Transform, validate, and integrate structured and unstructured data from diverse source systems.
Collaborate with cross‑functional teams to implement scalable data models, data quality controls, and processing frameworks.
Support client delivery by documenting technical solutions, addressing defects, and driving ongoing improvements of data platforms.

Requirements

Bachelor's degree in a related field.
3+ years of experience in data engineering or artificial intelligence development.
3+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments.
1+ year of hands-on experience with PowerBI, Power Apps, or Power Automate.
1+ year of experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration.
1+ year of experience supporting BI, analytics, or technology programs in a mission‑driven environment.
Familiarity with machine learning techniques including classification, clustering, regression, and anomaly detection.
Active Top Secret level security clearance; TS/SCI preferred.
Must be able to commute onsite 100% into Arlington/Rosslyn/DC.
Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future.

Technologies

PowerBI
Power Apps
Power Automate
AWS
Azure AI products
Python
NumPy
Pandas
PyTorch
scikit-learn
TensorFlow

The Team

Deloitte's Government & Public Services GPS practice aims to deliver impact for federal, state, and local government clients, as well as public higher education institutions, by combining people, ideas, technology, and outcomes to anticipate disruption and fulfill mission promises.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating data and AI platforms, products, insights, and services to help clients mature and scale their data and analytics capabilities.

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2mo ago

Data Engineer

CGI Group, Inc. Fairfax, VA

Fairfax, VA

2mo ago Closed

$113k - $223k/yr Full time Senior Alteryx Cloud

This position is no longer accepting applications (closed Jul 28, 2026).

Job Description

Senior data/analytics software engineer responsible for designing, developing, testing, and deploying data and analytics solutions across enterprise environments, leading ETL/ELT pipelines, cloud migration, and CI/CD/DevSecOps initiatives with hybrid work options.

Responsibilities

Act as the lead technical developer for end-to-end design, implementation, testing, and deployment of data and analytics capabilities across enterprise data warehouses, analytics tools, and cloud-native services.
Oversee ETL/ELT pipeline development, data ingestion, and transformation logic to modernize from on-premises SQL Server to cloud data warehouse environments.
Create and maintain data architecture artifacts, including source-to-target mappings, data flow diagrams, and related technical documentation.
Develop efficient code to support monthly and ad hoc data refresh cycles, data validation, and performance targets across large-scale data environments.
Navigate multi-framework Agile delivery by breaking down requirements into user stories, estimating effort, participating in sprints, and ensuring traceability of work.
Work with architects, cloud engineers, DBAs, data stewards, and platform operations to ensure alignment with enterprise standards and adherence to security, audit, and governance policies.
Design, build, and maintain CI/CD components that enable continuous integration and deployment across both cloud and on-prem environments.
Perform unit, integration, regression, performance, and security testing; document results and remediate defects as needed.
Facilitate release management activities, including packaging builds, promoting code, managing versions, and deploying changes per enterprise change control policies.
Mentor junior developers, uphold development standards, and participate in code reviews to ensure high-quality, secure software.
Troubleshoot production issues, perform root cause analysis, and contribute to ongoing improvements in reliability, performance, and maintainability of EDM platforms.

Requirements

Eight or more years of experience leading data and analytics projects with enterprise scope and complexity, spanning on-premises and cloud environments.
Hands-on development experience with SQL Server, ETL/ELT processes, stored procedures, data modeling, and performance tuning in enterprise data warehouse environments.
Demonstrated experience developing solutions for cloud-based data platforms.
Proven ability to design, document, and implement scalable data ingestion, transformation, and provisioning solutions across complex enterprise data ecosystems.
Proficiency in DevSecOps practices including CI/CD pipelines, automation scripting, environment configuration, and testing frameworks.
Experience writing, maintaining, and executing test plans, test scripts, automated test suites, and traceability artifacts in accordance with SDLC standards.
Ability to work within multi-team Agile environments, participating in sprint planning, daily standups, backlog refinement, and sprint reviews.
Strong understanding of enterprise change management, release management, and configuration management processes.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.

Technologies

SQL Server
AWS
Snowflake
Alteryx

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and Well being programs

Skills

Cloud architecture
Data Engineering
Problem Solving
Product development

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2mo ago

Consulting Technical Manager, AI Data Engineer

Oracle Reston, VA

Reston, VA

2mo ago Closed

Full time Manager Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jul 28, 2026).

Job Description

Oracle is seeking a Consulting Technical Manager, AI Data Engineer to design, build, and optimize cloud-based data pipelines and AI data platforms that support enterprise-scale initiatives in the Intelligence Community space. The role requires hands-on experience with Oracle-based systems in high-volume environments and TS/SCI eligibility with poly.

Responsibilities

Design, construct, and optimize cloud-based data pipelines and AI data platforms to enable large-scale initiatives for Intelligence Community customers.
Work with Oracle-based systems in high-volume environments to ensure reliability and performance.
Collaborate with cross-functional teams including data scientists, DBAs, and business analysts to deliver robust solutions.

Requirements

Bachelor's degree in computer science, Information Systems, Engineering, or a related field.
Minimum eight years of experience in data engineering, ETL development, or database management with enterprise-scale mission systems, preferably in the federal sector.
Experience managing geospatial intelligence data, including vectors and rasters.
Familiarity with cloud platforms such as Oracle Cloud, AWS, Azure, or Google Cloud Platform.
Strong expertise in architecting and implementing Oracle databases.
Experience enabling AI-ready data using vector data types, retrieval augmented generation (RAG), and MCP.
Solid knowledge of ETL pipeline design and implementation for large-scale data systems.
Experience with containers and Kubernetes.
Proficiency in shell scripting, Python, or other automation tools.
Familiarity with data governance, metadata management, and data lineage practices.
Ability to work with cross-functional teams including data scientists, DBAs, and business analysts.
Strong verbal and written communication skills for documenting and presenting solutions.
Ability to obtain and maintain TS/SCI eligibility with poly required.

Technologies

Oracle
AWS
Azure
GCP
Oracle Databases
Containers
Kubernetes
Shell scripting
Python
RESTful APIs
Oracle API Gateway

Desired Skills

Designing multi-modal databases that integrate relational, spatial, JSON, and graph data types.
Knowledge of data security best practices and regulatory compliance.
Experience with DevOps and CI/CD pipelines in a data engineering context.
Creating and deploying RESTful APIs with Oracle API Gateway.
Oracle certifications such as Oracle Database Certified Professional or OCI Architect Professional are a plus.
Experience supporting Intelligence Community agencies.
Strong analytical, problem-solving, and innovative thinking abilities.

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2mo ago

Supply Chain Data Analyst

Deloitte Arlington, VA

Arlington, VA

2mo ago Closed

Full time Analyst Analytics Business Intelligence

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

Deloitte is seeking an on-site Supply Chain Data Analyst in Arlington, VA to translate stakeholder needs into analytics requirements, query Advana and Databricks using SQL and Python, and develop dashboards that deliver actionable supply chain insights.

Responsibilities

Collaborate with functional stakeholders to understand business questions, analytical needs, and decision-making priorities, translating findings into clear narratives, insights, and recommendations for non-technical audiences.
Convert stakeholder requirements into well-defined analytical problem statements, metrics, and data needs.
Work with dashboard owners across the department to capture data requirements and contribute to a uniform supply chain risk database.
Navigate and query relational databases, with a focus on analytics environments within Advana and Databricks.
Apply SQL and Python (including pandas and SQLAlchemy) to extract, transform, validate, and analyze data across multiple datasets.
Design and maintain interactive dashboards using Qlik Sense or QlikView (or comparable BI tools), defining KPIs, dashboard layouts, and data refresh schedules aligned to mission priorities.

Requirements

Bachelor's degree
Active Secret security clearance required
Ability to work on-site in Alexandria, VA up to 5 days/week (typical week 2-3 days on-site)
2+ years of experience in business analysis, data analytics, or a related analytical role
2+ years of experience programming with Python and SQL
legally authorized to work in the United States without the need for employer sponsorship now or in the future