Arlington, VA

Data Jobs in Arlington, VA

78 jobs found

Include remote jobs

4d ago

Data Scientist Specialist

US Office of the Inspector General, USPS Arlington, VA

Arlington, VA

4d ago

$144k - $187k/yr Full time Artificial Intelligence Big Data Data Analysis

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Job Description

The USPS Office of the Inspector General (USPS OIG) seeks a Data Scientist Specialist to support the Research and Insights Solution Center (RISC) Directorate’s Strategic Foresight & Oversight (SFO) team in Arlington, Virginia (onsite). In this role, you will develop analytical products that combine qualitative and quantitative methods to support audit and investigative work, including AI and advanced analytics for emerging risks.

Salary range is USD 143,913 to 187,093 per year. This position requires a U.S. citizenship and the ability to obtain and maintain a Moderate Background Investigation security clearance.

Responsibilities

Independently and collaboratively use data extraction, manipulation, and aggregation techniques to prepare, clean, normalize, and validate data for varied projects.
Research, extract, evaluate, interpret, and visualize data to produce actionable intelligence for auditors and investigators focused on detecting, preventing, and responding to fraud, waste, and abuse.
Advise on potential uses of automation to improve the efficiency of program operations.
Design experiments, test hypotheses, and build scalable models using data science and artificial intelligence methods (including machine learning).
Design, develop, and adapt mathematical, statistical, econometric, and other analytical solutions for audit, investigation, and research support functions.
Lead AI activities including natural language processing, predictive analytics, and machine learning model development, training, evaluation, testing, refinement, deployment, and maintenance.
Translate complex technical findings into clear narratives for non-technical audiences.
Prepare comprehensive documentation, including requirements, test plans, user manuals, technical diagrams, and training materials.
Develop project communications and maintain effective working relationships among project teams, stakeholders, and management.
Provide advice on project issues affecting data access, quality, and storage.
Contribute to and present training and conference materials to large audiences.
Collect and analyze data from multiple sources to identify trends, descriptive statistics, and other insights.
Use expert knowledge to identify and develop information sources across structured and unstructured data, criminal intelligence databases, public sources, internal Postal Service databases, reference manuals, and audit and law enforcement reports.
Use relational databases, data lakes, data lake houses, and other data environments to produce analytic outputs such as business intelligence tools, summary tables, comparison graphs, and temporal, association, and link analysis charts.
Interact with other agencies and build peer relationships to share information and learn new analytical tools and techniques.
Develop substantial knowledge of database applications and environments and share expertise to support agency goals and objectives.

Requirements

Must be a U.S. citizen
Must be able to pass a drug screening
Must be able to pass a background investigation
Must be able to obtain and maintain Moderate Background Investigation security clearance
Must be able to obtain and maintain a government-issued credit card
May be required to successfully complete a 12-month probationary period
Bachelor’s degree from an accredited college or university
Minimum 2 years of specialized experience with query language (e.g., SQL), programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks)
At least one year of specialized experience equivalent to the GS-13, including organizing and analyzing large structured and unstructured data sets with data analytics tools; developing and implementing data collection and analysis tools using programming languages and environments (e.g., Python, Databricks); and using Python and analytics software to develop complex analytics, predictive modeling, and AI solutions

Technologies

SQL, Python, Power BI, Databricks
Machine learning, natural language processing, predictive analytics, artificial intelligence
Relational databases, data lakes, data lake houses
Cloud computing platforms (Azure)

How You Will Be Evaluated

Mastery and application of advanced data mining and AI principles, concepts, methods, standards, and practices to develop related products and interpret and implement related policies, procedures, and governance strategies
Advanced experience using Python and analytics software to develop complex analytics and AI solutions
Experience planning, conducting, and leading complex analytical projects
Experience defining problems, assessing alternatives, and recommending solutions for complex data and analysis issues
Extensive experience ingesting, transforming, analyzing, and visualizing large, disparate data sets
Ability to communicate effectively, orally and in writing, complex business and technical information

Required Documents

Resume (must not exceed two (2) pages)
Complete Occupational Questionnaire (use the “Submit My Answers” button)
Supporting documents (may include certificates or licenses, Veterans Preference documentation, and SF-50 if applicable)

Application deadline: 11/12/2026 by 11:59 PM EST (Vacancy Announcement EX-27-13B-13097577-PC).

Additional Information

This agency provides Reasonable Accommodations to applicants with disabilities. For accommodations during the application and/or hiring process, email jobs@uspsoig.gov.
In interviews, applicants may not use any AI tool or virtual assistant to help answer questions, except for accessibility tools used as part of a reasonable accommodation.

Agency contact: jobs@uspsoig.gov
AIG Research Insight Solution Center, 1735 North Lynn Street, Arlington, VA 22209

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9d ago

Intelligence Data Analyst

Mayvin, Inc. Arlington, VA

Arlington, VA

9d ago

$75k - $100k/yr Full time Data Data Analysis Data Analytics

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Job Description

Mayvin, Inc. is hiring an Intelligence Data Analyst to support a U.S. Marshals Service (USMS) contract within the Prisoner Operations Division (POD). The position focuses on reviewing and analyzing information from multiple sources and generating reports and case documentation to support criminal investigation activities.

Key Responsibilities

Prepare reports and presentations based on database information.
Support Senior Intelligence Analyst or Investigator efforts by obtaining and collecting documents and information required to complete case files.
Plan and perform quantitative and qualitative studies, analyses, assessments, and evaluations related to criminal investigation cases, including checks for completeness of information and proper execution.
Extract data from other investigative agencies and databases.
Develop and prepare documents used for case documentation.
Recommend and assist with the development of new concepts, guides, methodologies, and policies.

Required Qualifications

Education: High School Diploma.
Experience: Minimum 3 years of specialized experience performing the duties described above.
Knowledge and skill in applying analytical and evaluation methods and techniques.
Ability to build and maintain relationships with internal employees and outside sources.
Experience using Microsoft Office Suite.

Preferred Qualifications

Bachelor’s degree.
Prior experience supporting Law Enforcement.

Location and Work Setting

Arlington, VA (onsite).

Compensation

USD 75,000 - 100,000 per year.

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10d ago

Azure Data Engineer

Logic Arlington, VA

Arlington, VA

10d ago

$38 - $48/hr Full time Backend Developer Azure Azure Data Engineer

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Job Description

Logic is hiring an Azure Data Engineer to build and improve data solutions on an onsite basis in Arlington, VA. In this role, you will own technical outcomes as a subject matter expert, collaborate across teams, and help keep data pipelines reliable through strong data quality practices. The opportunity also includes mentorship and guidance so you can grow and support others while modernizing ETL and deployment workflows.

What you’ll do

Design, develop, and maintain data solutions for data generation, collection, and processing.
Create and operate data pipelines to move and transform data.
Ensure data quality by collaborating with cross-functional teams to identify and address issues.
Implement ETL processes (extract, transform, load) to migrate and deploy data across systems.
Develop innovative approaches to optimize how data is generated, collected, and processed.
Implement advanced ETL workflows to support efficient data migration and deployment.
Solve problems for your immediate team and across multiple teams, contributing to key technical decisions.
Stay current with industry trends and technologies to continuously improve data solutions.
Provide technical guidance and mentorship to junior team members.
Serve as an SME, collaborating and participating in team decision-making and team management activities.

What you’ll need

3+ years of work experience with one or more of the following:
- Databricks
- Pyspark
- Azure Data Factory
- Azure Synapse
- Delta live tables
- Azure Function Apps

Technologies

Databricks
Pyspark
Azure Data Factory
Azure Synapse
Delta live tables
Azure Function Apps

Compensation & benefits

Salary: USD 38 - 48 per hour.

Medical
Dental
Vision
Long-term disability coverage
401(k) plan
Paid time off
Access to benefits programs
World-class learning resources

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12d ago

Sr. Data Scientist SME

Knowledge Management, Inc. Arlington, VA

Arlington, VA

12d ago

$160k - $180k/yr Full time Senior Analytics Business Analytics

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Job Description

Knowledge Management, Inc. is seeking a Sr. Data Scientist SME to support operations data aggregation and maintain a SharePoint and Teams Common Operational Picture (COP) dashboard environment across SIPR and NIPR networks for Headquarters, U.S. Marine Corps (LPO-2). This onsite role centers on consolidating information into a centralized COP portal, administering collaboration tools, and providing analytics to support inventory, cost, and capacity tracking.

Responsibilities

Maintain advanced operating knowledge of SharePoint and Microsoft Teams functionality to maximize platform capabilities and improve data collaboration across networks.
Maintain working knowledge and active access to the Maven Smart System (MSS) to support mission-specific data integration and situational awareness.
Lead the consolidation of GPN information into a COP hosted on SIPR and NIPR SharePoint and Teams environment.
Maintain a centralized COP portal (SIPR and NIPR) including SharePoint or Teams channels with command-specific data upload areas.
Provide analytical support to track inventories, costs, and capacities by aggregating disparate data for Classes of Supply I, II/VII, IIP, IV, VII, and IX.
Provide administrative support that includes reviewing, drafting, and responding to Department of Navy (DoN) Enterprise Task Management Software Solution (ETMS2) on SIPRNet and NIPRNet, including AMHS Messages and related information such as Information, Position and Decision Papers, PowerPoint Briefs, or other required documents at unclassified and classified levels.

Requirements

Minimum of 15 years of experience with U.S. Marine Corps Logistics.
Current knowledge of Marine Corps prepositioning initiatives.
Knowledge and experience working with ground systems stakeholders within HQMC CD&I, I&L, PEO-LS, MARCORSYSCOM, and TECOM.
Experience using analytical tools including Power BI, Copilot, DoD AI tools (MSS and GenAI), and Excel macros.
Working knowledge of Global Positioning Network (GPN), current prepositioning operations, War Reserve programs, and Classes of Supply tracking.
Proficiency in SharePoint and the Microsoft Suite, including Word, Excel, Teams, and PowerPoint.
Proficiency in data management, aggregation, site architecture, and administration of Microsoft Teams and SharePoint on SIPR/NIPR networks to develop, optimize, and manage centralized COP portals.
Active DoD Secret security clearance required.

Technologies

Microsoft SharePoint, Microsoft Teams, Power BI, Power Apps
Geographic Information Systems (GIS), Viva Engage, Power Automate
Active Directory groups, Microsoft Suite (Word, Excel, PowerPoint)
PowerPoint Briefs, Maven Smart System (MSS), Copilot, DoD AI tools, GenAI, Excel macros
ETMS2, AMHS, SIPRNet, NIPRNet, SIPR, NIPR, AMHS Messages

Core features and functionalities

Real-Time Data Aggregation: SharePoint lists operate as backend databases that update when field teams submit mobile forms for status updates, supply requests, or safety incidents.
Role-Based Permissions: Access to operational data is restricted or granted based on user roles and Active Directory groups.
Automated Alerts: Power Automate triggers notifications to key personnel via email or Microsoft Teams when thresholds are crossed or new incidents are logged.
Automated Reporting: Scheduled workflows compile updates into formatted reports, such as daily operational logs.

Key components

Central Hub Site: A dedicated landing page acting as the main dashboard for operational activities.
Live Dashboards: Native Power BI web parts embedded in SharePoint pages for KPI visualization and resource status tracking.
Interactive Maps: Asset location and event heatmap plotting using Power Apps or GIS.
Document Libraries: Shared repositories for SOPs, IAPs, and compliance forms.
Communication Feeds: Automated Viva Engage or chat streams for immediate team alerts and incident updates.

Benefits

Health, dental, and vision insurance
401(k) retirement plan
Paid time off (PTO) and holidays
Group Term Life and Accidental Death and Dismemberment Insurance
Voluntary Term Life Insurance
Short and Long-term disability insurance

Desired qualifications

Bachelor’s degree in business, operations research, Data Analytics, or a similar field.
Prior military logistician with tours of duty at Headquarters, U.S. Marine Corps, InstallationsLogistics (I&L) and/or Field SupplyMaintenance Analysis Office (FSMAO) teams.

Location: Arlington, VA (onsite). Compensation: USD 160,000 - 180,000 per year. Availability: This position is available immediately.

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12d ago

Lead Data Engineer

Mastercard Arlington, VA

Arlington, VA

12d ago

$161k - $266k/yr Full time Manager Application Security Aws Data Engineer

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Job Description

Mastercard’s Data Commercialization Platform (DCP) team is building cloud-native capabilities to help turn enterprise data into business-ready insights across a modern multi-cloud environment. As a Lead Data Engineer, you will design, build, and scale data and Business Intelligence solutions, with a focus on Databricks, Snowflake, and AWS, while also helping shape multi-cloud architectures across AWS and Azure. This hybrid role is based in Arlington, VA with three days per week onsite.

In this position, you will help deliver governed interoperability across multiple platforms, compute engines, and cloud providers, while leading technical decisions, standards, and engineering execution from design through implementation.

What you’ll do

Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS.
Build scalable, high-performance data pipelines and analytics frameworks that support enterprise data products.
Drive multi-cloud architectures across AWS and Azure, including Azure Databricks and ADLS Gen2.
Enable seamless integration across Databricks, Snowflake, AWS, and Azure services.
Build and maintain CI/CD pipelines, automation frameworks, and Infrastructure as Code for reliable provisioning and deployment.
Implement secure, governed access patterns using RBAC, IAM, service principals, and enterprise identity integration.
Create reusable platform capabilities that support data interoperability across multiple compute engines and cloud providers.
Establish engineering standards for development, testing, deployment, monitoring, documentation, and operational excellence.
Optimize data platforms and workloads for performance, scalability, reliability, resiliency, and cost efficiency.
Lead technical design reviews and influence architecture and platform engineering decisions.
Partner with Product, Architecture, Engineering, Data, and Business teams to translate complex requirements into scalable technical solutions.
Provide technical leadership and mentorship to engineers while driving initiatives from design through implementation.

What you bring

Deep hands-on experience as a Lead or Senior Data Engineer designing and building enterprise-scale cloud data, analytics, and BI platforms.
Strong expertise with Databricks, Snowflake, and AWS, including AWS S3, AWS Glue, AWS EMR, and AWS IAM.
Advanced proficiency with Apache Spark/PySpark, Delta Lake, SQL, and Python for large-scale processing and analytics.
Experience building scalable ETL/ELT pipelines, data integration frameworks, and distributed data solutions.
Experience designing multi-cloud data architectures and integrations across AWS and Azure; experience with Azure Databricks and ADLS Gen2 is a plus.
Strong experience with CI/CD, Infrastructure as Code, automation, Git/GitHub, and DevOps practices for data platforms.
Experience implementing enterprise security, governance, and access controls, including RBAC, IAM, service principals, data lineage, metadata management, and observability.
Knowledge of modern open data architectures and formats, including Delta Lake and Apache Iceberg.
Understanding of FinOps, cloud cost optimization, performance, and scalability for large-scale workloads.
Proven ability to lead technical design and architecture decisions, drive complex initiatives across teams, and mentor engineers.
Strong communication and stakeholder management skills, with the ability to articulate technical decisions, trade-offs, risks, and recommendations.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related STEM discipline, or equivalent practical experience.

Tools and technologies

Databricks, Snowflake
AWS, Azure, Azure Databricks, ADLS Gen2
AWS S3, AWS Glue, AWS EMR, AWS IAM
Apache Spark, PySpark, Delta Lake, SQL, Python
CI/CD, Infrastructure as Code, Git, GitHub
RBAC, service principals, data lineage, metadata management, observability, Apache Iceberg

Compensation and location

Location: Arlington, VA (hybrid, three days per week onsite)
Pay range (Arlington, Virginia): USD 161,000 - 266,000 per year

Benefits

Competitive base salary
Annual bonus or commissions (depending on the role)
Insurance including medical, prescription drug, dental, vision, disability, and life insurance
Flexible spending account and health savings account
Paid leaves including 16 weeks of new parent leave and up to 20 days of bereavement leave
80 hours of Paid Sick and Safe Time
25 days of vacation time and 5 personal days (pro-rated based on date of hire)
10 annual paid U.S. observed holidays
401k with best-in-class company match
Deferred compensation for eligible roles
Fitness reimbursement or on-site fitness facilities
Eligibility for tuition reimbursement

Corporate security responsibility

Abide by Mastercard’s security policies and practices.
Ensure the confidentiality and integrity of the information being accessed.
Report any suspected information security violation or breach.
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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13d ago

Data Analyst

CGI Group, Inc. Arlington, VA

Arlington, VA

13d ago

$71k - $172k/yr Full time Azure Synapse Analytics Business Analytics Business Intelligence

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Job Description

CGI Group, Inc. is hiring a Data Analyst to support insight delivery in a fast-paced, agile environment. In this onsite role in Arlington, VA, you will work with large datasets and modern analytics tools, while maintaining the required Secret clearance throughout the project.

The position focuses on analyzing and validating data in cloud environments, building reliable datasets for reporting, and creating dashboards and visualizations that help both business and technical stakeholders make informed decisions.

Responsibilities

Analyze, profile, and validate datasets stored in cloud environments to support reporting, dashboarding, and analytical use cases.
Use Databricks and Azure Synapse Analytics to prepare, transform, and curate datasets for downstream analytics and self-service BI.
Develop dashboards and visualizations using leading BI tools to support decision-making across business and technical stakeholders.
Partner with clients to understand analytical needs, document business requirements, and translate them into data solutions.
Write optimized SQL queries and analytical logic across Databricks SQL, Synapse SQL, and cloud databases.
Perform data validation, testing, and reconciliation to ensure accuracy, completeness, and reliability of delivered insights.
Work closely with data engineers to align analytic datasets with data models, ingestion pipelines, and data governance structures.
Create and maintain documentation for datasets, business rules, KPIs, and reporting processes.

Requirements

Bachelor’s degree in Analytics, Information Systems, Computer Science, Mathematics, Economics, or a related field.
24 years of experience in data analysis, BI development, and reporting.
An interim Secret clearance is required to begin working onsite in Arlington, VA, and a Secret clearance must be maintained throughout the project duration.
Proficiency in SQL for analytics and data querying.
2+ years of experience working on Analytics and Business Intelligence focused initiatives.
2+ years of experience working with self-service business intelligence tools, specifically Power BI.
Understanding of modern UI style frameworks and design systems to ensure consistency and usability in analytics solutions.
Familiarity with SQL analytics or notebook-based analysis.
1+ years of experience using Python or R to build statistical models or analyze data within a distributed computing environment.
Understanding of data modeling, KPI definitions, and analytic dataset structures.
Ability to work with large datasets and distributed data systems.
Strong analytical thinking and problem-solving abilities.
Clear communication skills to convey insights to nontechnical audiences.
Ability to manage priorities in a fast-paced, collaborative environment.

Technologies

Databricks
Azure Synapse Analytics
Databricks SQL
Synapse SQL
SQL
Power BI
Python
R

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

Location: Arlington, VA (onsite). Compensation: USD 70,800 - 172,400 per year.

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14d ago

Data Engineer

FedWriters, Inc. Arlington, VA

Arlington, VA

14d ago

$45 - $49/hr Full time Analytics Big Data Bigdata

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Job Description

FedWriters, Inc. is supporting the DA2I program and is hiring a Data Engineer to help turn raw inputs into dependable, well-governed data for financial management analytics. This hybrid role is based in Arlington, VA, with on-site support as mission needs arise and a focus on data quality, reporting, and analytics pipeline stability.

In this position, you will collect, clean, and transform data into structured datasets and analytics pipelines that support mission-critical decision-making. You will work alongside senior data scientists and a government team, helping troubleshoot workflows and improve data availability and transparency across enterprise systems.

Responsibilities

Collect, clean, and transform raw data into meaningful, actionable information.
Support implementation of analytical techniques and applications using data-oriented programming languages, visualization tools, and modern computational methods.
Apply foundational data mining, data modeling, natural language processing, and machine learning techniques to extract insights from large structured and unstructured datasets.
Visualize, interpret, and report data findings, including the occasional development of dynamic or automated reports for stakeholders.
Analyze data patterns and validate data quality to keep information accurate and reliable.
Troubleshoot data workflows and support senior data scientists in maintaining stable, well-governed analytics pipelines.
Improve data availability, transparency, and mission-critical decision-making across enterprise systems.

Requirements

Up to 3 years of directly related experience and a B.A./B.S. degree.
Up to 3 years of foundational experience using Python, SQL, R, or similar languages for data manipulation, ETL, or analytics workflows.
Exposure to data-processing frameworks or platforms such as Databricks or Spark, and familiarity with mapping raw-to-scrubbed data stages.
Understanding of basic analytical concepts including data mining, machine learning fundamentals, NLP techniques, and data modeling.
Ability to perform data validation, identify anomalies, and support data-quality governance under guidance from senior team members.
Ability to interpret trends, visualize results, and communicate findings using dashboards and modern visualization tools.
Active Secret clearance.

Technologies

Python
SQL
R
Databricks
Spark

Schedule and Location

Hybrid role based in Arlington, Virginia.
Typically 1–2 days on site per month, with the remainder remote.
Must be located in the National Capital Region and able to be on site when the mission calls for it.
In-person collaboration with the government team is part of how the work builds the relationships it depends on.