Alexandria, VA

Data Jobs in Alexandria, VA

32 jobs found

Include remote jobs

20d ago

Data Analyst

Booz Allen Hamilton Alexandria, VA

Alexandria, VA

20d ago

$62k - $141k/yr Full time Artificial Intelligence Data Analysis Data Analytics

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Job Description

Booz Allen Hamilton supports efforts to modernize and advance military capabilities across Combatant Commands, and this Data Analyst role helps turn complex information into actionable insight. In this position, you will work with data sources, apply analytics and data quality practices, and communicate findings to clients and stakeholders.

Location for this opportunity is Alexandria, VA, with onsite work primarily performed full-time at a customer facility. The projected annual compensation range is USD 62,000 - 141,000, and the role requires 5+ years of relevant experience.

What You’ll Do

Support an assessment effort focused on modernizing and future military capabilities across Combatant Commands.
Identify, collect, and analyze data sources; extract key information; and evaluate and monitor data quality to meet client organization needs.
Research, develop, and test data methodologies, and build cross-functional solutions through collection, analysis, and visualization of multiple data sets.
Use data cleansing and analytics experience to simplify technical requirements and trends based on the audience.
Assist with data validation and cleaning to support quality and data integrity.
Present findings and recommendations to clients and stakeholders using database and scripting tools, including SQL, Python, R, and Microsoft Office.
Establish quantitative and qualitative metrics and key performance indicators (KPIs) that drive technical outcomes.
Create data visualizations using tools such as Tableau, Qlik, and Power BI, and document the process used to produce visuals.
Participate in program meetings, collaborate with stakeholders, develop documents and briefs, and communicate results to Joint Force leaders at the GS-15 and O-6 level and above.

Required Qualifications

5+ years of experience implementing strong data principles, including data cleaning, preprocessing, and analysis to identify insights and trends.
Experience using R or Python for data transformations.
Experience using Palantir Foundry or Maven Smart Systems to construct pipelines, ontologies, or workshops.
Experience with Microsoft tools such as Excel, Power Apps, Power Automate, or SharePoint.
Ability to communicate data insights in both written and verbal formats.
Ability to manage multiple tasks with tight deadlines simultaneously.
TS/SCI clearance.
HS diploma or GED.

Technology Exposure

IoT, machine learning, artificial intelligence, SQL, Python, R, Microsoft Office
Tableau, Qlik, Power BI
Palantir Foundry, Maven Smart Systems
Excel, Power Apps, Power Automate, SharePoint

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Additional Information

TS/SCI clearance required: Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Identity verification: During the hiring process, you will be asked to complete an identity verification process that uses advanced biometrics and AI. You are expected to be on camera during interviews and assessments, and the company may take your picture to verify your identity and help prevent fraud.
AI usage policy: AI tools are part of daily work, but using AI or other tools to assist with responses during interviews (in-person or virtual) is prohibited unless permission is explicitly provided.
Work model: This role is listed as onsite, meaning work will primarily be full-time at a customer facility with collaboration as required. Employees working virtually are generally expected to have their cameras on during meetings.
Non-discrimination commitment: Booz Allen Hamilton provides employment consideration without regard to disability, protected veteran status, or other statuses protected by applicable federal, state, local, or international law.

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20d ago

Data Engineer - Functional Area Analyst II

Centurion Consulting Group Alexandria, VA

Alexandria, VA

20d ago

Full time Analytics Data Analysis Data Analytics

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Job Description

Centurion Consulting Group is hiring a Data Engineer for onsite work in Alexandria, VA. This role supports DoD clients by delivering advanced data engineering, analytics, and visualization capabilities across both ad hoc and long-term needs for GS-13 to SES level problem solving.

The position is open to US Citizens with Top Secret clearance and SCI eligibility, and it emphasizes turning complex, large-scale datasets into clear outputs such as data tables and visualization dashboards.

What you’ll do

Provide advanced data engineering, analytics, and visualization for DoD engagements, supporting complex problem sets from across the organization.
Extract, transform, and load (ETL) large and complex data sets.
Wire-frame and develop visualizations that support client understanding and decision-making.
Manage and engineer large datasets and databases.
Communicate key findings to clients through data analysis and clear presentation.
Perform core data engineering tasks and conduct data analysis while translating complex issues and ideas into easy-to-understand language and visuals.
Quickly learn new technical skillsets and develop understanding of relevant DoD domains.

Required skills and experience

SQL and Python, plus Excel/PowerPoint, and experience with advanced analytics such as NLP, statistical modeling, predictive modeling, optimization, and machine learning.
4 years of experience in at least one area related to military or operations research (examples include current U.S. military operations, munitions, readiness, and deployment routines across air/space, ground, special operations, and maritime domains).
4 years of experience in at least one area of Planning, Programming, Budgeting, and Execution (PPBE).
4 years of experience in at least one area of Force / capability development.
4 years of experience in at least one area of Intelligence collection and analysis.
Experience working with DoD stakeholders to collect, maintain, and refine complex datasets, with demonstrated ability interfacing with clients and expertise in Structured Query Language (SQL).

Technologies

SQL, Python, Excel, PowerPoint
NLP, statistical modeling, predictive modeling, optimization, machine learning

Preferred qualifications

Database management/engineering experience.
DoD experience.
Strong written and oral communication skills.
Comfort with daily interactions with senior leaders in a military setting.
Understanding of military rank structure across services.

Expected deliverables

Data Tables
Data Visualization dashboards

Education: Bachelors. Experience level: 4 years. Location: Alexandria, VA (onsite).

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20d ago

Data Analyst/Data Engineer

The Brite Group Alexandria, VA

Alexandria, VA

20d ago

$85k - $100k/yr Full time Business Intelligence Data Analysis Data Analytics

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Job Description

The Brite Group is seeking a Data Analyst/Data Engineer to support DoD stakeholders with analysis of military, governmental, and business operations. The role focuses on producing data-driven insights to inform decision-making and support policy and resource allocation, with an active Top Secret clearance required.

Location and Work Arrangement

Location: Alexandria, VA (Mark Center)
Onsite requirement: 5 days onsite
Commute area: Alexandria, VA 22350
Work location: In person

Salary

USD 85,000 - 100,000 per year

Key Responsibilities

Analyze military, governmental, or business operations and deliver data-driven insights for decisions related to policy and resource allocation.
Support DoD stakeholders in collecting, maintaining, and refining complex datasets.
Extract datasets from multiple data sources using SQL and/or Python.
Work with ETL tools to handle and manage large, complex datasets.
Utilize Microsoft Access and apply advanced Excel skills.

Required Qualifications

4+ years of experience as a strong data analyst, including experience related to military operations research and areas such as deployment readiness and financial data.
Familiarity with Planning, Programming, Budgeting, and Execution (PPBE).
Experience working with Microsoft Access and advanced Excel.
Strong experience extracting datasets from a variety of sources using SQL and/or Python.
Some experience with ETL tools and working with large datasets.
2-3 years of experience supporting DoD stakeholders to collect, maintain, and refine complex datasets.
Proven expertise in Structured Query Language (SQL) and interfacing with clients.
Direct experience with ETL/ELT tools and managing large, complex datasets.
Active Top Secret clearance (or higher) required.

Technologies

SQL
Python
Microsoft Access
Excel
ETL tools
ETL/ELT tools
Power BI
Qlik

Preferred Skills

Experience with data visualization tools such as Qlik or Power BI.
Intelligence collection and analysis, and Force/Capability Development experience is an added plus.

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Vision insurance

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20d ago

Data Analyst

Reingold Inc Alexandria, VA

Alexandria, VA

20d ago

$64k - $97k/yr Full time Adobe Experience Platform Business Intelligence Customer Data Platform

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Job Description

Reingold Inc is hiring a Data Analyst to support client reporting and hands-on work related to Adobe Experience Platform (AEP). This hybrid role in Alexandria, VA focuses on building client-facing dashboards and recurring reports using Snowflake and SQL, while also contributing to AEP configuration and maintaining privacy and governance standards across systems.

Role focus

Develop reporting that helps clients track progress against business goals.
Support the connection between AEP data and Snowflake reporting datasets.
Apply privacy standards through data labels and governance policies, including consent and access rules.

Responsibilities

Build and maintain client-facing dashboards in Snowflake using team-provided designs, metric definitions, and specifications.
Write, test, and maintain SQL for the reporting layer, including queries, views, and transformations in Snowflake; tune for performance as data volumes grow.
Maintain Snowflake datasets containing AEP profile, audience, and engagement data by monitoring scheduled refreshes, checking for gaps or late-arriving data, and flagging issues to the team.
Assemble recurring and ad hoc client reports by pulling and organizing numbers, building charts and tables, reconciling against source data, and preparing drafts for senior review.
Run data quality checks between AEP and Snowflake, investigate discrepancies in counts and metrics, and document findings for the team.
Complete assigned AEP configuration tasks to written specifications, including creating and updating datasets and XDM schema fields, building audience segments, and setting up source connections and destinations with senior guidance.
Assist with testing and monitoring data flows between AEP and Snowflake to confirm audiences activate as expected and data lands on schedule.
Follow engagement privacy standards in every task by applying data usage labels and governance policies, honoring consent and access rules, and minimizing exposure of PII; escalate items that appear out of step.
Document queries, views, dashboard logic, and reporting procedures, and keep run books and trackers current for the team and the client.

Requirements

2+ years of professional experience in analytics, business intelligence, data engineering, marketing technology, or web development.
Strong SQL skills and hands-on experience querying a cloud data warehouse. Snowflake preferred; experience with BigQuery, Redshift, or another cloud warehouse welcome.
Demonstrated experience building dashboards, reports, or data visualizations used by non-technical stakeholders, with an instinct for presenting numbers clearly.
Attention to detail for reconciling and QA across systems, including catching numbers that do not look right before a client does.
Exposure to Adobe Experience Platform or a comparable enterprise customer data platform, with willingness to perform configuration work to standards and specifications set by others.
Working knowledge of PII handling and data privacy basics, including consent and access control, and the discipline to follow established standards.
Excellent oral and written communication skills and a drive for results that includes asking questions and flagging issues early.
Bachelor’s degree in marketing, communications, computer science, math, or a similar field (or equivalent work experience).
Ability to obtain a U.S. government clearance.

Technologies

Snowflake, SQL
Adobe Experience Platform (AEP), Adobe Experience Platform XDM schemas and XDM schema fields
BigQuery, Redshift, Snowpark, Snowpark Container Services
JavaScript/TypeScript, React, Recharts, D3, Highcharts, Plotly, Python
dbt
Adobe Launch, Data Collection, Tealium IQ, Google Tag Manager
Adobe Journey Optimizer, Adobe Campaign, Adobe Analytics/CJA
Adobe certification in Experience Platform (Business Practitioner or Developer)

Compensation and eligibility

Salary range: $64,400 to $96,600 per year (company pay range low to high).
Budgeted starting salary is in the lower half of the range.
Individual compensation varies based on experience, skills, qualifications, internal equity, and business needs.

Benefits

Comprehensive health and wellness benefits for full-time employees.
401(k) employer contributions and matching.
Other benefits.

Supervisory responsibilities

No direct reports, but the role is expected to mentor junior teammates, lead by example, and influence.
Reports to the Director, Customer Data & Marketing Technology, with day-to-day direction from senior members of the engagement team.

Work environment

Prolonged periods sitting at a desk and working on a computer.

Additional information

Reingold is committed to equal opportunity for individuals of all abilities.
Reingold maintains a workplace free of drugs and alcohol.
Applicants must have authorization to work in the United States.
Reingold is unable to sponsor or take over sponsorship of an employment visa.
Candidates must be able to obtain and maintain a U.S. government security clearance.

Location: Alexandria, VA (hybrid)

Experience level: 2 years minimum

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1mo ago

Senior Data Engineer

Washington Metropolitan Area Transit Authority Alexandria, VA

Alexandria, VA

1mo ago Closed

Full time Senior Analytics Business Analytics

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

Job Description

Work onsite in Alexandria, VA with the Washington Metropolitan Area Transit Authority, supporting telematics-enabled predictive and condition monitoring that helps reduce unplanned downtime. In this Senior Data Engineer role, you will design and maintain data pipelines, build reliability-focused reporting and BI, and help turn asset health signals into actionable insights for engineering and maintenance teams.

What you’ll do

Develop, automate, and maintain ETL data workflows from telematic systems using Microsoft Fabric Data Factory and Python.
Organize and deploy data management systems to monitor real-time and historical condition monitoring and telematic data.
Diagnose and resolve workflow issues, and proactively address data performance challenges to improve data availability and minimize downtime.
Design and develop AI-assisted data transformations, semantic models, and Power BI reports to support operational decisions and surface early signs of component degradation or failure.
Build and maintain large-scale relational databases that support ETL processes and ensure data quality and integrity.
Lead integration of telematics data with enterprise computerized maintenance management systems to enable automated alerts and creation of maintenance repair records.
Develop and refine predictive maintenance strategies, including thresholds and reliability model alignment.
Analyze equipment health indicators such as vibration, temperature, pressure, and fault codes to detect abnormal trends.
Collaborate with reliability engineers, asset engineers, maintenance teams, and IT to maintain continuous integration and operations for condition monitoring.
Develop and monitor KPIs related to asset health and condition monitoring program compliance, and maintain documentation, reports, and dashboards for system health and performance.
Evaluate telematics data against established thresholds, failure modes, and reliability models, including performing root cause analysis (RCA) on failures and near-misses.
Recommend strategies to improve data reliability, efficiency, and quality.
Train peers and end users on monitoring tools and capabilities you develop.
Research and provide feedback on condition monitoring technologies and predictive maintenance tools, including opportunities to incorporate them into existing equipment.
Follow and promote awareness of safety policies and procedures, including reporting safety concerns consistent with the Agency Safety Plan, other regulatory requirements within the Safety Management System, and just culture principles.

What you bring

Knowledge of how telematic systems can be leveraged to improve reliability.
Knowledge and understanding of at least one programming language (such as SQL, Informatica, or Python).
Knowledge of using a Computerized Maintenance Management System (CMMS) to analyze, query, and collect maintenance history.
Strong ability to manipulate large data sets using data analysis tools including Microsoft Excel, Tableau, or Power BI.
Strong communication and influencing skills, with the ability to convey high-level technical concepts to non-experts and business leaders.
Ability to develop and present reports, findings, analysis, and recommendations to different audiences within the Authority.
Ability to translate business priorities into clear plans, delivery roadmaps, and measurable outcomes.
Ability to prioritize work, manage multiple responsibilities, and organize/summarize large data sets into key findings.
Ability to be available 24 hours, 7 days a week.

Minimum experience and education

Experience: Minimum of seven (7) years of progressive experience in engineering, reliability, maintenance, data science, data analytics, and/or related technical fields. Minimum 2 years of experience with ETL (extract, transform, load) processes.
Education: Bachelor’s degree in Computer Science, Reliability, Electrical, Mechanical, or related engineering field (i.e., Data Science). In lieu of a bachelor’s degree, a High School Diploma or GED plus four (4) years of experience in an electrical, mechanical maintenance role or data analytics, in addition to the experience stated above, will be considered.

Tools and technologies you may use

Microsoft Fabric Data Factory, Python
Power BI, Tableau, Microsoft Excel
SQL, Informatica
Maximo, Oracle Databases, SQL Developer
Microsoft Office Suite, Microsoft Visual Studios, Cognos BI, Microsoft PowerPoint, Access, Word

Preferred qualifications

Experience in a reliability engineer role.
Experience with ETL / data pipeline modernization.
Experience with Machine Learning.
Proficiency in Python, R, SQL, or DAX.
ASQ-CRE or CMRP certification preferred.
Experience with mechanical/engineering systems.

Supervisory responsibility: Not responsible for supervising others.

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1mo ago

Data Scientist - Geospatial Data

Embedded Alliance Alexandria, VA

Alexandria, VA

1mo ago Closed

$115k - $145k/yr Full time Data Integration Data Pipeline Data Processing

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

Job Description

Build and operationalize geospatial data pipelines for new sensor feeds in an onsite role in Alexandria, VA.

Responsibilities

Stand up pipelines for incoming sensor data, including support for database tables and schemas
Create and maintain ETL processes for emergent sensor data
Implement data health alerting to detect issues before downstream analysts are impacted
Develop API-driven workflows to move sensor data across systems and security domains, collaborating with senior engineers on cross-domain components
Ensure sensor data meets government-directed schemas, formats, and governance requirements
Assess differences in incoming sensor metadata, format, and structure, and determine impacts to existing pipelines
Pre-process and standardize data to support labeling and model testing
Perform geospatial imagery transformations, including chipping full-scene imagery and orthorectifying, plus converting formats

Requirements

2+ years of production experience with SQL or NoSQL databases
Proficiency in Python (or JavaScript or Java) and comfort scripting to process real data at volume
Track record building and sustaining operational data pipelines across multiple data formats and interfaces
Strong written and verbal communication to explain pipeline constraints to analysts and government stakeholders
Bachelor's degree in a related field; additional experience may be considered in lieu
TS/SCI clearance
Active TS/SCI clearance with ability to obtain a polygraph

Technologies

SQL
NoSQL
Python
JavaScript
Java

Benefits

401(k)
401(k) matching
Dental insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Retirement plan
Tuition reimbursement
Vision insurance

Clearance Level Required

TS/SCI required
Top Secret (Required)
Ability to obtain a polygraph

Location and Work Style

Alexandria, VA (onsite)
In person

Compensation

$115,000 - $145,000 per year

Timeline

If your clearance is current, apply now and they will talk this week

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1mo ago

Data Scientist

Leidos Alexandria, VA

Alexandria, VA

1mo ago Closed

$92k - $167k/yr Full time Data Data Analysis Data Analytics

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

Leidos is hiring a Data Scientist to support data architecture maintenance and implementation for Program data in Alexandria, VA.

Responsibilities

Support creation of data pipelines to store and process information for emergent sensors and platforms, including database tables and schemas
Define data health alerts and establish Extract, Transform, Load (ETL) pipelines for emergent sensor data
Build workflows that move sensor data via API between data platforms as directed by the government
Ensure sensor data meets government-directed data schemas, formats, and governance requirements
Evaluate metadata, data format, and data structure differences across database, schema, API, and ETL changes during ingestion and movement into the existing data operations pipeline
Design preprocessing and standardization steps to align data to existing standards or transform it for labeling and model testing, including:
- File format conversions
- Tiling full-size images into specified sizes or geospatial bounds (chipping)
- Orthorectification and other data standardization, transformation, or manipulation methods

Requirements

4+ years of experience working with SQL or NoSQL databases and cloud architectures
Experience using APIs to query systems and migrate data
Strong written and verbal communication skills to explain complex technical concepts to lay and expert audiences
Programming experience with Python, JavaScript, or Java
Experience developing and sustaining operational data pipelines for multiple data formats and interfaces
Bachelor’s Degree in a related field; additional experience may be considered in lieu of degree

Technologies

SQL, NoSQL
Python, JavaScript, Java
ETL

Preferred Qualifications

Experience with NGA IT enterprise solutions (for example: NGA CORE, NGA MLOps)
Familiarity with Government Authority to Operate (ATO) processes
Experience with Government Non-Person Entity (NPE) certificates
Experience implementing organizational processes, standards, and tools using the Scaled Agile Framework for Enterprise
Experience developing dynamic visualizations to monitor availability, currency, and volumetrics of operational data pipelines