Norfolk, VA

Data Jobs in Norfolk, VA

7 jobs found

Include remote jobs

2d ago

Junior Data Engineer

Bigbear.ai Norfolk, VA

Norfolk, VA

2d ago

Full time Aws Data Engineer Cloud Data Engineer

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Job Description

BigBear.ai is seeking a motivated Junior Data Engineer to help build and maintain data pipelines, database integrations, and data quality processes. This onsite role in Norfolk, VA supports data engineering activities aligned to government and national security missions.

Key Responsibilities

Assist in developing, maintaining, and improving data pipelines and ETL processes to ingest, transform, validate, and deliver data from multiple source systems.
Write, maintain, and optimize SQL queries for data retrieval, transformation, validation, and analysis across relational databases.
Support data integration by connecting source systems, developing data imports, and helping automate recurring data transfers and reporting processes.
Conduct data quality checks, audits, and reconciliations to identify inconsistencies and maintain data integrity.
Assist with database development and maintenance, including schema documentation, query optimization, data organization, and performance monitoring.
Support cloud-based data engineering and integration activities using AWS, Databricks, and other approved enterprise platforms.
Develop and maintain data dictionaries, technical documentation, dataflow diagrams, and standard operating procedures to improve data discoverability and usability.
Support metadata and data inventory management to improve data governance, traceability, and standardization across systems.
Assist in developing and maintaining reports, dashboards, and data products for technical teams and leadership.
Support secure data access and handling practices, including user permissions, access controls, and protection of sensitive information.
Collaborate with software developers, data analysts, and cross-functional teams to troubleshoot data issues and deliver incremental improvements using Agile development practices.
Contribute to process automation and continuous improvement efforts to reduce manual work and improve processing efficiency and confidence in enterprise data.

Required Qualifications

Eligibility to obtain and maintain a Secret security clearance.
Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, Accounting, or a related field, or equivalent relevant professional experience.
3-5 years of relevant experience in data analysis, data engineering, database support, ETL development, reporting, or data integration.
Working knowledge of SQL and relational databases, including the ability to write queries to retrieve, manipulate, and validate data.
Familiarity with data imports, ETL processes, data transformations, or integrations between multiple source systems.
Experience performing data validation, quality assurance, auditing, reconciliation, or similar activities to improve accuracy and reliability.
Basic understanding of database structures, data relationships, query performance, and data management principles.
Strong analytical and problem-solving skills with attention to detail and the ability to investigate and resolve data discrepancies.
Ability to document technical processes, communicate findings clearly, and collaborate with technical and nontechnical stakeholders.
Ability to work in a team environment, learn new tools and technologies, and support multiple data-related priorities.

Technologies

SQL, AWS, Databricks, Microsoft SQL Server, Power BI, Tableau, SQL Server Reporting Services (SSRS), Python, R

Preferred Experience

Exposure to AWS, Databricks, or other cloud-based data platforms.
Experience with Microsoft SQL Server, Databricks, or other relational database technologies.
Familiarity with data governance, metadata management, data inventories, data dictionaries, or data cataloging.
Experience with Power BI, Tableau, SQL Server Reporting Services (SSRS), or other reporting and visualization tools.
Familiarity with Python, R, or scripting used to support data processing and automation.
Experience integrating data across enterprise applications, databases, file transfers, or external data sources.
Understanding of data security, access management, regulatory compliance, or handling sensitive information.
Exposure to Agile software development, IT service management, or collaborative development environments.
Interest in supporting government, defense, critical infrastructure, or other mission-focused data environments.

Education and Experience

This position requires a Bachelor’s degree or equivalent relevant professional experience and 3 years minimum of relevant experience, with a target range of 3-5 years.

Location

Norfolk, VA (onsite)

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7d ago

Part-Time Data Officer (Data Analyst)

City of Norfolk, VA Norfolk, VA

Norfolk, VA

7d ago

$22+/hr Part time Confidentiality & Compliance Data Data Analysis

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Job Description

The City of Norfolk, VA is seeking a part-time Data Officer (Data Analyst) to support a randomized control trial evaluation in collaboration with the Norfolk Commonwealth’s Attorney (CWA) office and the Harvard Access 2 Justice Lab (A2J Lab). This onsite role serves as a practical liaison across teams, helping coordinate data collection, secure data transfer, and the development and validation of triage scoring tools.

Working as a member of the CWA-related project effort, you will help identify variables for classification and allocation decisions, manage retrospective case and court record data, and maintain clear documentation of project milestones. The position is part time and is based in Norfolk, VA.

Responsibilities

Coordinate and facilitate interviews between A2J Lab and NCA key decision-makers to identify variables for classification and allocation decisions.
Collect retrospective case file information and corresponding court record data from previous cases, then securely identify and share relevant data with A2J Lab.
Manage secure file transfer mechanisms for all data exchanges, ensuring confidentiality and compliance with agreements.
Assist with development and execution of confidentiality agreements between NCA and A2J Lab, and facilitate conversations with other entities (including courts) as needed.
Collect and transmit additional data points as identified during the project using secure methods.
Maintain accurate records of data collection, data transmission, and project milestones.

Requirements

Broad knowledge in a general professional or technical field.
Knowledge normally acquired through four years of college resulting in a Bachelor’s degree or equivalent.
One (1) year of full-time equivalent experience performing professional-level data analysis or related analytical work.
Experience with data manipulation, analysis, visualization, and use of analytical or business intelligence tools.
Experience in data management, research coordination, or a related field.
Strong organizational and communication skills.
Familiarity with confidentiality protocols and secure data transfer methods.
Ability to work collaboratively with internal and external stakeholders.
Attention to detail and commitment to data integrity.
Proficiency with relevant software and secure file transfer tools.

Work Details

Location: Norfolk, VA (onsite)
Job Type: Part time
Salary: USD 22.00 per hour
Working Hours: Monday - Friday, 9:00 AM - 5:00 PM
Additional Information: This position works at the will of the Commonwealth's Attorney
Departmental Hiring Salary: $22.00 per hour

The City of Norfolk, VA offers this role to support secure, coordinated data work for the CWA and A2J Lab trial evaluation, including classification-related variable identification and triage scoring tool development and validation.

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7d ago

Data Engineer

CSA Global LLC Norfolk, VA

Norfolk, VA

7d ago

Full time Analytics Business Intelligence Data

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Job Description

This Data Engineer position supports a program in the Norfolk, Virginia area, delivering secure, reliable, and scalable data solutions for J35 Global Force Management (GFM) systems and technology. The role focuses on enterprise ETL pipelines, analytics-ready data modeling, and alignment with Department of Defense cybersecurity and governance requirements.

Responsibilities

Provide operational analysis and manage Global Force Management related work supporting Joint Technology Development efforts.
Analyze government provided authoritative and classified data to support insights into GFM and Planning and Execution (PLEX) outcomes.
Build statistical models to support process decision-making and develop machine learning models to automate and simplify key GFM and PLEX processes.
Conduct high-level market and business operations research to identify trends and relationships, using sophisticated methods to work with data across DoD mission-critical and mission-essential IT systems.
Analyze raw data from J35 government POCs and convert it into actionable content with input from J35 GFM Operational managers using mathematical models and algorithms.
Evaluate data warehousing solutions and maintain familiarity with ETL tools, supporting sustainment and improvement in legacy environments.
Design, build, and maintain data pipelines for enterprise data flows.
Perform data integration, cleaning, and transformation across structured and unstructured sources.
Develop and implement data models that support analytics, visualization, and reporting.
Collaborate with analysts, developers, and mission stakeholders to support data accuracy and accessibility.
Deploy and manage solutions on cloud platforms including AWS, Azure, and DoD Cloud in compliance with federal security standards.
Create and maintain APIs for secure data access and integration.
Troubleshoot and optimize the performance of large-scale data processing systems.
Ensure compliance with government data governance and cybersecurity requirements.

Requirements

Maintain an active U.S. Secret security clearance.
Bachelor of Science degree from an accredited college or university in Computer Science, Information Systems Management, Computer Science Application Management, or a related field, plus 3 years of professional experience; or no degree with 4 to 9 years of experience in technical areas covering the operation, design, development, documentation, and operation of distributed computer M&S.
Security Plus/Network+ and an Operating System Certification.
Experience applying computer models and simulations supporting operational planning or joint experimentation support of theory, development, and applications.
Experience tracking unit status in models and translating unit location, actions, and logistical status into tactical display formats and SOPs.
Experience initiating requests for employment of warfighting resources to support the maneuver plan.
Knowledge of employment of air defense resources and air defense unit role-playing, including implementation of the air campaign plan and related plans, orders, and directives across Air Force, Navy, Marine, and Army operations.
Knowledge of intelligence sensors and radars.
Knowledge and experience in employment of missile defense assets and missile defense role-playing.
Knowledge of joint service organizations, operations, exercise requirements, and military forces capabilities.
Extensive knowledge of employment of logistics airlift and sealift assets.
Extensive knowledge of Coalition/UN/NATO/NGO operations.
Experience with Service and Joint operations.
Experience monitoring, maintaining, and managing servers.
Experience testing and evaluations of modeling and simulation (M&S) and Command and Control (C2) Systems.

Technologies

ETL
AWS, Azure, DoD Cloud
APIs
Machine learning models
Statistical models
Qlik
Databricks
Qlik data analytics certifications
Security Plus, Network+, Operating System Certification
Microsoft Certified: Azure Data Engineer Associate
AWS Certified Data Analytics
Google Cloud Professional Data Engineer
Databricks Certified Data Engineer

What Sets You Apart

Microsoft Certified: Azure Data Engineer Associate
AWS Certified Data Analytics
Google Cloud Professional Data Engineer
Databricks Certified Data Engineer
Qlik data analytics certifications

Physical Requirements

Sit for extended periods of time and work at a computer workstation.
Use hands and fingers to operate keyboards, mice, and other input devices.
Communicate effectively, both verbally and in writing.
Specific vision abilities required may include close vision, distance vision, depth perception, and the ability to adjust.
Stand, walk, bend, or reach; access equipment located in data centers, offices, or under desks.
Lift and/or move equipment weighing up to 25 pounds.

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17d ago

HCM Data Analyst

Sentara Workforce Solutions, LLC Norfolk, VA

Norfolk, VA

17d ago

$90k - $138k/yr Full time Business Intelligence Data Analysis Data Analytics

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Job Description

Sentara Health is seeking an HCM Data Analyst to support enterprise Human Capital Management reporting, data governance, and workforce analytics. In this onsite role in Norfolk, VA, you will partner across HR, IT, and the business to turn Workday data into reliable reporting and dashboards, strengthen data quality practices, and help expand analytics self-service. The position offers an annual salary range of $89,564 to $137,904.

What you’ll do

Support enterprise HCM reporting, data governance, and workforce analytics initiatives.
Collaborate with HR, IT, and business stakeholders to analyze Workday data and create meaningful reports and dashboards.
Drive data quality and governance practices across the organization.
Establish foundational data governance guardrails and contribute to governance programs.
Support enterprise data lake initiatives.
Promote self-service analytics through scalable reporting solutions.
Contribute to data stewardship, master data management, and related governance and quality initiatives.

What you’ll bring

Bachelor’s Degree (Required).
3+ years of experience in data analysis, data manipulation, and data visualization (Required).
3+ years writing SQL queries and working with SQL Server technologies, including reporting and integration services (Required).
Experience with Workday HCM, including Core HCM, Workforce Data, and Time & Attendance data.
Experience developing reports, dashboards, and analytical solutions that support operational and business decision-making.
Preferred: experience with enterprise-scale data environments or enterprise data lakes.
Preferred: experience with data transformation and integration processes.
Preferred: experience with Databricks and Power BI.
Preferred: minimum 1 year of project management experience.

Tools you’ll work with

Workday HCM
SQL, SQL Server
SQL Server reporting and integration services
Databricks, Power BI
Enterprise data lakes

Benefits and support

Medical, Dental, Vision plans
Adoption, Fertility, and Surrogacy Reimbursement up to $10,000
Paid Time Off and Sick Leave
Paid Parental and Family Caregiver Leave
Emergency Backup Care
Long-Term, Short-Term Disability, and Critical Illness plans
Life Insurance
401k/403B with Employer Match
Tuition Assistance up to $5,250/year and discounted educational opportunities through Guild Education
Student Debt Pay Down up to $10,000
Pet Insurance
Legal Resources Plan
Annual discretionary bonus if the established system and employee eligibility criteria are met
Comprehensive benefits package including medical, dental, vision, life and disability insurance; 401(k)/403(b) with employer match; paid time off; paid parental and military leave; educational assistance or student loan repayment; and voluntary benefits

Licensure/Certification: No specific certification or licensure requirements.

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30d ago

Data Engineer III - SME

National Capitol Contracting LLC Norfolk, VA

Norfolk, VA

30d ago Closed

$175k - $185k/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Nov 1, 2026).

Job Description

National Capitol Contracting LLC (NCC) is seeking a Senior Data Engineer to build and sustain scalable data pipelines and mission-supporting analytics capabilities. This onsite role in Norfolk, VA centers on enterprise ETL/ELT, PostgreSQL database administration, and support for reporting platforms including Qlik Sense and other BI tools, with an active Secret clearance required.

You will be responsible for designing data workflows, ensuring data quality and integrity, and maintaining the database and reporting environments that teams rely on for operational reporting, analytics, and business intelligence.

Key Responsibilities

Design, build, and maintain scalable data pipelines and automated ETL/ELT processes.
Integrate and transform data from multiple structured and unstructured sources.
Act as the primary PostgreSQL DBA, covering installation, configuration, maintenance, security, and backup/recovery.
Develop and maintain PostgreSQL databases, SQL queries, stored procedures, views, indexes, and related database objects.
Perform performance tuning and troubleshooting, including capacity planning, indexing strategies, and query optimization.
Build and maintain Python-based solutions for ingestion, transformation, automation, validation, and reporting processes.
Create and maintain enterprise data models and schemas for operational reporting, analytics, and BI initiatives.
Develop, administer, and support Qlik Sense applications, dashboards, data models, and reporting solutions.
Manage Qlik Sense data connections, reload schedules, security rules, and application performance.
Support and enhance Power BI, Tableau, Qlik Sense, and other enterprise reporting environments as needed.
Monitor data quality, validate data integrity, and troubleshoot inconsistencies across systems.
Collaborate with business stakeholders, analysts, and technical teams to gather requirements and deliver scalable solutions.
Translate business needs into technical specifications and actionable reporting capabilities.
Implement data governance standards, security controls, backup strategies, and best practices for enterprise data management.
Troubleshoot and resolve issues across data pipelines, databases, Qlik Sense environments, and reporting failures.
Support production deployments, system enhancements, upgrades, and ongoing maintenance activities.
Lead technical initiatives and mentor junior engineers and analysts.
Participate in project planning, prioritization, and continuous process improvement efforts.
Document database architectures, data flows, ETL processes, system configurations, and reporting procedures.
Ensure compliance with organizational, contractual, and security requirements for enterprise data environments.
Other duties as assigned.

Requirements

Active Secret clearance or higher at the time of application.
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field.
Minimum of 9 years of experience in data engineering, database administration, business intelligence, or enterprise analytics environments.
Hands-on PostgreSQL DBA experience, including administration, backup/recovery, performance tuning, security management, and system optimization.
Advanced SQL development experience, including complex queries, stored procedures, views, indexing strategies, query optimization, and data transformation logic.
Strong Python proficiency for data engineering, automation, scripting, ETL processing, and data validation.
Experience designing, developing, and maintaining ETL/ELT pipelines and automated data workflows.
Hands-on experience developing and administering Qlik Sense dashboards, applications, and reporting solutions.
Qlik Sense experience including data modeling, scripting, reload management, and security administration.
Experience integrating data from multiple enterprise systems and data sources.
Experience with relational database design, data modeling, and enterprise reporting architectures.
Strong understanding of data governance, data validation, database security, and data quality assurance best practices.
Ability to troubleshoot and resolve production issues across databases, data pipelines, reporting, and analytics platforms.
Experience gathering business requirements and translating them into scalable technical solutions.
Demonstrated ability to lead technical efforts, manage priorities, and mentor junior team members.
Strong written and verbal communication skills for working with technical and non-technical stakeholders.

Technologies

PostgreSQL, SQL, Python
Qlik Sense
Power BI, Tableau

Preferred Qualifications

Experience with cloud-based data platforms and modern analytics architectures.
Experience with Agile methodologies and DevOps/DataOps practices.
Knowledge of enterprise data security, access management, and compliance processes.

Compensation

$175,000 - $185,000 per year
The compensation range is a good-faith estimate and may vary based on responsibilities, education, experience, skills, internal equity, budget, market data, and applicable laws.

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1mo ago

Data Scientist

Guidehouse Digital, LLC Norfolk, VA

Norfolk, VA

1mo ago Closed

Full time Advanced Analytics Analytics Artificial Intelligence

This position is no longer accepting applications (closed Oct 17, 2026).

Job Description

Guidehouse Digital, LLC is seeking a data scientist to help design, develop, and deploy advanced analytical models, predictive forecasting capabilities, and AI/ML solutions. This onsite role in Norfolk, VA supports Navy Reserve readiness, operational optimization, and mission assurance through decision-ready analytics products used by executive and operational leaders.

What you will do

Design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities aligned to Navy Reserve readiness, operational optimization, and mission assurance objectives.
Lead data analytics product development, including dashboards and visualization tools that convert complex information into actionable insights for executives, operational leaders, and stakeholders.
Use statistical analysis, machine learning, data mining, and predictive modeling to evaluate trends, surface risks, optimize resource allocation, and improve decision-making.
Work with data engineers, architects, business analysts, and government stakeholders to define requirements, validate analytical approaches, and deliver data-driven recommendations.
Assess emerging analytics technologies, methodologies, and AI/ML capabilities to strengthen enterprise data solutions and support digital modernization efforts.

Required qualifications

Active and maintained “SECRET” Federal or DoD security clearance.
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, or a related quantitative discipline.
4+ years of professional experience developing data analytics solutions, statistical models, machine learning algorithms, or advanced analytical products.
Experience using Python, SQL, Jupyter Notebook, Databricks, R (or similar analytics and data science tools) for data preparation, modeling, and visualization.
Experience building predictive, prescriptive, or forecasting models and communicating results to both technical and non-technical stakeholders.

Technologies you may use

Python, SQL, Jupyter Notebook, Databricks, R
Advana, Azure Data Services
Power BI, Tableau, Qlik
Microsoft Power Platform

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus

Additional details

Location: Norfolk, VA (onsite)
Travel required: Up to 10%
Job family: Data Science & Analysis
Clearance required: Active Secret

What would be nice to have

Master’s degree in Data Science, Analytics, Statistics, Computer Science, Applied Mathematics, Operations Research, or a related field.
Experience supporting Department of Defense, U.S. Navy, federal government, or mission-focused analytics programs involving readiness reporting, workforce analytics, or operational optimization.
Experience developing AI/ML solutions, including predictive analytics, optimization models, natural language processing, anomaly detection, or decision-support tools.
Familiarity with enterprise analytics platforms such as Advana, Databricks, Azure Data Services, Power BI, Tableau, Qlik, or Microsoft Power Platform.
Experience leading analytic workstreams, mentoring junior analysts or data scientists, and presenting technical recommendations to senior leadership and executive stakeholders.

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3mo ago

Senior Artificial Intelligence (AI) Engineer

Sentara Hospitals Norfolk, VA 🇺🇸 Remote

Norfolk, VA

3mo ago Closed

$106k - $177k/yr Full time Senior Ai Workflows Artificial Intelligence

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

The Senior AI Engineer will lead end-to-end delivery of production AI platforms, spanning architecture, model pipelines, multi-agent workflows, and reusable SDKs and frameworks. This role supports remote work and requires collaboration across product, engineering, security, and governance to ensure scalable, observable, cost-efficient, and compliant AI systems.

Responsibilities

Lead end-to-end delivery of production AI platforms, including solution architecture, orchestration of model pipelines, design of multi-agent workflows, and creation of reusable SDKs and frameworks
Collaborate with product, engineering, security, and governance teams to ensure AI systems are scalable, observable, cost-efficient, and compliant
Define design patterns, optimize operational pipelines, and enable internal reuse of proven solutions
Own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production
Work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals
Address complex problems while ensuring HIPAA compliance and Responsible AI practices

Requirements

5 years in production-grade AI/ML (Required)
3 years building and operating production AI/ML systems — training, deployment, monitoring (Required)
One year GenAI/LLM or RAG solution delivered to production or equivalent experience such as open-source contributions or startup work (Required)

Technologies

Azure OpenAI
Azure AI Search

Compensation

Salary range: USD 106,080 - 176,820 per year

Benefits

Medical, Dental, Vision plans
Adoption, Fertility and Surrogacy Reimbursement up to $10,000
Paid Time Off and Sick Leave
Paid Parental & Family Caregiver Leave
Emergency Backup Care
Long-Term, Short-Term Disability, and Critical Illness plans
Life Insurance
401k/403B with Employer Match
Tuition Assistance – $5,250/year and discounted educational opportunities through Guild Education
Student Debt Pay Down – $10,000
Reimbursement for certifications and access to CEUs and professional development
Pet Insurance
Legal Resources Plan
Annual discretionary bonus potential if system and eligibility criteria are met

Certification / Licensure

Preferred: Microsoft Certified Azure AI Engineer, Azure Solutions Architect, or ML specialty credentials

Experience

5 years in production-grade AI/ML (Required)
3 years building and operating production AI/ML systems - training, deployment, monitoring (Required)
One year GenAI/LLM or RAG solution delivered to production or equivalent experience open-source contributions, or startups (Required)

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Data Jobs in Norfolk, VA

Junior Data Engineer

Part-Time Data Officer (Data Analyst)

Data Engineer

HCM Data Analyst

Data Engineer III - SME

Data Scientist

Senior Artificial Intelligence (AI) Engineer

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