Arlington, VA

Data Jobs in Arlington, VA

43 jobs found

Include remote jobs

Today

Data Engineer & Automation Developer

Guidehouse Inc. Arlington, VA

Arlington, VA

Today

Full time Backend Developer Python Api Integration

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Job Description

Guidehouse Inc. is seeking a Data Engineer & Automation Developer to help design and maintain automated, data-driven workflows and integrations. This onsite role in Arlington, VA supports client-focused initiatives that combine Python and Databricks data automation with Microsoft Power Platform solutions and API-based data cataloging.

Role Summary

In this position, you will build and maintain workflows that ingest and transform data from multiple sources and file types, support data cataloging through APIs, and create authentication workbooks that enable connections between data sources and cataloging tools. You will also develop Power Apps solutions within the Microsoft Power Platform and communicate technical findings to both technical and non-technical audiences, including leadership.

Responsibilities

Use strong technical skills and a mission-focused mindset to understand client needs, identify opportunities, and design data-driven solutions.
Leverage Python and Databricks to create and maintain automated workflows for data cataloging via APIs, including ingesting and transforming data from various sources and file types.
Create and maintain authentication workbooks that support connections from data sources to cataloging tools.
Use the Microsoft Power Platform to create and maintain Power Apps solutions.
Communicate clearly to translate technical findings for technical and non-technical audiences, including leadership.
Engage directly with clients to gather requirements, adapt solutions to mission needs, and move initiatives forward.

Required Qualifications

ACTIVE and MAINTAINED “SECRET” Federal or DoD security clearance.
Bachelor’s degree.
Two (2) years of relevant professional experience in data analysis, data science, data engineering, or data visualization.
Experience creating and maintaining automated workflows using Python in Databricks to catalog data using APIs for ingesting and transforming data from various sources and file types.
Experience creating and maintaining authentication workbooks for connections from data sources to cataloging tools such as Alation.
Experience using Microsoft Power Platform and creating and maintaining Power Apps.
Ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area.

Technologies

Python
Databricks
Microsoft Power Platform
Power Apps
APIs
Alation

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

Clearance and Travel

Clearance required: Active Secret
Travel required: None

What Would Be Nice to Have

Three (3) or more years of relevant professional experience.
Experience working in Databricks.
Familiarity with Agile team operations, such as sprint planning, standup calls, writing Jira stories, and backlog refinement.
Ability to work independently, proactively identify opportunities to add value to the client, and drive initiatives and innovation.
Ability to clearly communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership.
Experience performing data engineering, such as Extract-Transform-Load (ETL) and managing databases.
Experience working in the Microsoft Power Platform and creating and maintaining Power Apps.
Experience working with data cataloging and metadata.
Experience working with APIs.
Familiarity with Alation.
Ability to support business development including RFP, RFQ, and RFI responses and white papers.
Relevant experience supporting Department of State or other Federal Government organizations.

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Today

Data Engineer II

CoStar Group Arlington, VA

Arlington, VA

Today

$103k - $153k/yr Full time Artificial Intelligence Automation Big Data

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Job Description

As a Data Engineer II, you will support Homes.com by helping shape sitewide tracking architecture and ensuring data flows into KPI dashboards that inform day-to-day insights into consumer behavior. CoStar Group is focused on secure cloud data platforms, scalable pipelines, and practical analytics, with a role that also brings AI/ML model integration into the data lifecycle.

This onsite position is based in Arlington, VA. The salary range is USD 103,000 - 153,000 per year, and the role requires 3+ years of relevant hands-on experience. A bachelor’s degree from an accredited, not-for-profit, in-person college or university is required.

What you’ll do

Design and oversee implementation of dimensional modeling, database design, and cloud data platform structures, including Databricks, Snowflake, and BigQuery
Build a secure data platform framework for data warehouses and data lakehouses using Medallion Architecture
Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, Snowflake, and other AWS services
Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks
Build and deploy AI/ML models by integrating machine learning into data pipelines, leveraging Databricks ML and AWS ML to develop predictive models and support business insights
Apply AI-assisted software development practices to improve engineering productivity and code quality
Translate knowledge of multiple data domains into transformations that meet changing business needs
Oversee automated data infrastructure and partner with software engineering and product teams to streamline product data tracking
Integrate data from disparate sources using cross-domain data stitching to align with existing data models
Implement data governance, lineage tracking, testing, and monitoring frameworks to help ensure data integrity
Perform hands-on data optimization and query performance improvements
Work with key teams (DBA, DevOps, SecOps) to support data accessibility and analysis
Mentor and manage engineers and analysts in executing their normal responsibilities
Deliver software development projects to specification, within scheduled timelines and budget parameters
Use AWS DevOps and CI/CD best practices to automate deployments using terraform, and manage data pipelines and infrastructure

Skills and experience

Bachelor’s degree required from an accredited, not-for-profit, in-person college/university
Commitment track record with prior employers
3+ years of hands-on experience in software development delivering high-quality solutions
Strong data engineering foundation with Python, PySpark, and SQL
Solid understanding of Object-Oriented Programming principles and best practices
Proven success building and launching data-driven products operating at terabyte scale
Demonstrated experience designing and implementing enterprise-level secure and accurate data platforms
Ability to translate technical requirements into robust architecture, data models, and ETL strategies
Practical experience with cloud-based databases for both relational and non-relational systems
Knowledge of BI software such as Power BI or similar tools
Understanding of AI technologies and hands-on experience leveraging AI tooling in development, including Claude Code, GitHub Copilot, Cursor, Gemini, and Grok
Ability to retrieve, synthesize, and present critical data in structures useful for answering ad-hoc questions
Hands-on experience with optimization, data quality checks, data accuracy, and query performance improvement

Technologies you’ll work with

Databricks, Snowflake, BigQuery
Medallion Architecture
Spark, Databricks ML, AWS ML
Python, PySpark, SQL
Power BI
Claude Code, GitHub Copilot, Cursor, Gemini, Grok
AWS, terraform, CI/CD
Object-Oriented Programming

Benefits

Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
Life, legal, and supplementary insurance
Virtual and in person mental health counseling services for individuals and family
Commuter and parking benefits
401(K) retirement plan with matching contributions
Employee stock purchase plan
Paid time off
Tuition reimbursement
On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups
Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

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20d ago

Sr. Data Scientist (Forecasting)

Nestlé IT Arlington, VA

Arlington, VA

20d ago

$110k - $160k/yr Full time Agentic Ai Ai Agent Platform Ai Ml

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Job Description

Sr. Data Scientist (Forecasting) will help Nestlé USA Digital deliver production forecasting capabilities by partnering with Supply Chain Planning and Analytics teams.

Responsibilities

Design, build, test, and deploy statistical and machine learning forecasting models in production on cloud-based analytics platforms
Improve forecast performance through demand pattern recognition, algorithm selection, outlier correction, and parameter optimization to reduce bias and increase accuracy
Create and maintain structured, programmatic forecasting processes that run at scale, leveraging ML Ops to automate weekly forecast generation and reduce manual effort
Embed Agentic AI and GenAI into forecasting workflows to surface accuracy improvement opportunities, automate root cause analysis, and support insights and decisions
Evaluate and apply emerging AI/ML methods including deep learning and probabilistic forecasting to improve accuracy and scalability across a portfolio of SKUs, clusters, and data sources
Act as a liaison between technical and functional teams, partnering with Supply Chain Planning leads and stakeholders across Marketing, Finance, and Sales to align business needs with solutions
Support Enterprise Forecasting initiatives through the One Planning program, including work that enables standardized, scalable, cross-functional forecasting solutions
Deliver training and forecast office hours for Supply Chain Planning users to build analytics literacy and promote adoption
Build and enhance Power BI dashboards for forecast KPI monitoring and data validation; communicate results using data visualization and PowerPoint tailored to the audience

Requirements

Bachelor's degree in statistics, mathematics, economics, business, or a related field
5+ years of experience in data science, forecasting, or advanced analytics, with hands-on experience in SQL, Python, or a similar language
5+ years of experience extracting, transforming, and analyzing large datasets, and creating data visualizations to communicate insights
3+ years of experience deploying and maintaining machine learning models in production, including regression, classification, time series modeling, and feature engineering

Preferred

Master's degree in statistics, mathematics, economics, business, or a related discipline
Experience with ML Ops practices, cloud and AI/ML platforms including Databricks, Snowflake, and Microsoft Azure, plus GenAI solutions and Microsoft Power BI
Experience supporting enterprise-scale transformation or Supply Chain planning initiatives in an Agile environment

Technologies

SQL, Python, Power BI, PowerPoint
ML Ops
Databricks, Snowflake, Microsoft Azure
GenAI, Agentic AI
Deep learning, probabilistic forecasting

Job Details

Location: Arlington, VA (onsite)
Salary: USD 110,000 - 160,000 per year
Minimum experience: 3 years

Benefits

401k with company match
Healthcare coverage
Performance-based incentives
Competitive total rewards package

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21d ago

Expert Data Scientist (AI)

Nestlé IT Arlington, VA

Arlington, VA

21d ago

$140k - $196k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

Join Nestlé IT & Digital in Arlington, VA (hybrid) as an Expert Data Scientist focused on applied AI. In this role, you bridge business priorities and engineering execution to define ambiguous problems and deliver AI solutions end-to-end, including agent-driven workflows and verification practices for reliable, responsible scaling.

Role Overview

You will serve as a technical and strategic leader for emerging AI, GenAI, and agentic technologies. The work combines product management thinking with hands-on engineering to frame use cases, design experiments, industrialize and deploy solutions, and drive adoption across stakeholders. You will also orchestrate AI agents across parallel workstreams and establish evaluation, monitoring, and workflow scaffolding to support trustworthy production outcomes.

Responsibilities

Act as a thought leader on emerging AI, GenAI, and agentic technologies, translating breakthrough capabilities into scalable applications aligned with Nestlé business priorities and enterprise value.
Partner with stakeholders to convert ambiguous business needs into precise specifications, including identifying data requirements, tradeoffs, and failure modes, and maintaining accountability through the solution lifecycle.
Own AI applications end-to-end, spanning use-case concept and experimental design through industrialization, deployment, and adoption.
Orchestrate AI agents across parallel streams of work, converting repeated tasks into reusable workflows other teams can leverage, and incorporating agents into both new and existing solutions as the technology landscape evolves.
Develop evaluation frameworks, conformance checks, and monitoring to validate AI output against defined specifications prior to rollout, including detection of silent errors; support production stability through agent-assisted diagnosis of data-quality and pipeline issues.
Improve team effectiveness by documenting decisions, learnings, and incidents in shared resources, and coaching business users and teammates to strengthen performance across projects.
Collaborate with global and regional IT & Digital teams to co-create and scale AI solutions, aligning with platform roadmaps and enterprise processes needed for approvals.
Build with security and resilience in mind by protecting sensitive data and safeguarding critical business processes, while anticipating failure and misuse to help keep AI systems safe, trustworthy, and reliable in production.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field.
7+ years of experience partnering with cross-functional stakeholders to translate business needs into technical solutions and drive adoption.
5+ years of demonstrated experience building and shipping AI/ML solutions that real users adopted.
3+ years of experience deploying and scaling solutions at enterprise scale, including MLOps and cloud platforms such as Databricks and Snowflake.
3+ years delivering production solutions with emerging technologies, advanced data and automation capabilities, or machine learning, with a recent focus on AI, GenAI, LLMs, and agentic workflows.

Preferred Qualifications

Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related discipline.
Experience directing AI agents or agentic workflows to perform substantive work beyond single-prompt usage.
Experience moving AI from concept to enterprise-scale adoption, ideally in consumer products, CPG, Supply Chain, or Commercial environments.
Strong hands-on engineering fluency in Python (or similar) for building, deploying, and integrating AI solutions, including modern LLM and agent patterns such as prompt interaction, tool/function calling, retrieval, and handling non-determinism.

Technology Focus

Python
Databricks
Snowflake
MLOps
LLMs
GenAI
AI/ML
AI agents
Agentic workflows
Prompt interaction
Tool/function calling
Retrieval

Compensation and Benefits

Salary range: USD 140,000 - 196,000 per year.
401k with company match
Healthcare coverage
Performance-based incentives
Competitive total rewards package

Location and Work Arrangement

Arlington, VA (hybrid)

Visa Sponsorship

This position is not eligible for Visa Sponsorship.

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22d ago

Staff AI Engineer

Vendelux Arlington, VA

Arlington, VA

22d ago

Full time Agent Orchestration Agentic Ai Agentic Systems

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Job Description

Vendelux is hiring a Staff AI Engineer in Arlington, VA (onsite) to research and deliver AI and LLM-powered product capabilities across the platform.

Responsibilities

Research and apply modern AI methods (AI agents, LLMs, RAG, embeddings, supervised and unsupervised learning) to enable new product capabilities with an emphasis on impact and speed
Convert business challenges into AI solutions that improve user workflows, accelerate insights, and produce measurable value
Own the architecture and integration of agentic chat capabilities across the Vendelux platform, including system design that enables agents to reason, take action, and deliver insights across every product surface
Define interaction patterns for agents with internal data, external tools, and user workflows, advancing conversational AI from a feature into a foundational product layer
Architect multi-tenant AI infrastructure to meet performance, latency, and cost requirements for a growing B2B SaaS product
Own observability, evaluation frameworks, and guardrails to keep AI features production-grade
Collaborate with product, data science, and application engineering teams to translate business requirements into AI systems
Act as a thought partner to leadership on the AI roadmap, shaping how Vendelux differentiates through AI

Requirements

8+ years of professional experience in software engineering or data engineering, with at least 3+ years building AI/ML-driven products
Strong programming skills in Python and proficiency in SQL
Experience with modern AI frameworks (e.g., HuggingFace, LangChain, etc.) and designing data pipelines (e.g., Airflow, Dagster, or equivalent)
Solid understanding of cloud infrastructure (e.g., AWS, GCP, or Azure)
Production experience applying LLMs and generative AI, including prompt engineering, RAG, and LLM deployment
Strong foundation in fundamental data science and machine learning techniques, with the ability to balance research and engineering tradeoffs
Proven ability to translate business problems into data solutions that drive business value
Track record of shipping user-facing features with measurable impact
Excellent written and verbal communication skills, with the ability to collaborate across data, engineering, and product teams
Startup experience preferred

Technologies

Python
SQL
HuggingFace
LangChain
Airflow
Dagster
AWS, GCP, Azure
LLMs
RAG
Embeddings
AI agents

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22d ago

Data Engineer

National Alliance on Mental Illness Arlington, VA

Arlington, VA

22d ago

$95k - $105k/yr Full time Backend Developer Analytics Business Analytics

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Job Description

Build and run NAMI’s data platform to enable program impact measurement and data-informed decisions across national, state, and local teams.

Responsibilities

Design and implement a central data warehouse and ELT pipelines that pull from organizational sources such as micro-services, Salesforce, and the LMS
Enable leadership and teams to measure program impact by supporting strategy decisions with reliable, integrated data
Lower manual reporting by delivering curated datasets and self-service reporting for state organizations and local affiliates, replacing hand-built affiliate reports
Partner with stakeholders to expand on-demand access to data and support adoption of improved reporting workflows
Own data quality by expanding automated quality testing, monitoring, and CI/CD as the platform scales
Handle incidents end-to-end, from source to dashboard, when issues slip through automated checks
Establish the foundation for future data hires as the team’s first dedicated data engineer, setting standards, patterns, and review practices
Build and operate the end-to-end platform: ingestion, transformation, orchestration, and reporting
Build and operate ELT pipelines
Create well-modeled transformations using analytics engineering best practices
Develop trusted, well-documented data products and contribute to their continuous improvement within established architectural patterns

Requirements

3-5 years in data, analytics, or backend engineering
Strong proficiency in SQL and Python
Experience with version-controlled production ELT/ETL pipelines, including testing and monitoring
Solid understanding of data modeling (e.g., dimensional modeling, layered architecture)
Experience with a modern cloud data warehouse
Ability to communicate technical concepts clearly to non-technical colleagues

Technology Stack

SQL, Python, ELT, ETL
CI/CD
Salesforce
dbt, Fivetran, Airbyte
Dagster, Airflow
Power BI, Tableau, Metabase
LMS

Preferred Skills & Experiences

Hands-on experience with a SQL transformation framework such as dbt
Exposure to managed ingestion or orchestration tooling (e.g., Fivetran, Airbyte, Dagster, Airflow)
Experience with a BI tool such as Power BI, Tableau, or Metabase
Experience helping evaluate, adopt, or migrate to new data tooling

Work Location and Schedule

Arlington, VA (hybrid; remote or optionally hybrid based on preference)
Availability during standard business hours with core hours between 10:00 a.m. and 3:00 p.m. ET
10-20% travel, including overnight

Physical Requirements

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

Compensation

USD 95,000 - 105,000 per year

Benefits

Generous and comprehensive Health, Dental, and Vision Plans
Paid Time Off: Vacation, Personal, and Sick Leave
Paid Parental Leave
403(b) retirement plan
Flexible Spending Accounts for health care, dependent care, and commuter expenses
Life Insurance and Disability coverage paid by NAMI
Flexible Work and Telework programs
Professional Development Reimbursement program
Wellness offerings to support team members
Employee Referral Program
Employee Assistance Program (EAP) for personal and family support

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1mo ago

Data Analyst

Tenacious Solutions Arlington, VA

Arlington, VA

1mo ago Closed

$80k - $110k/yr Full time Business Analytics Business Intelligence Data Analysis

This position is no longer accepting applications (closed Sep 3, 2026).

Job Description

Tenacious Solutions is seeking a Data Analyst for a client supporting the Northern VA area. This opportunity is contingent upon contract award and requires U.S. citizenship along with an active public trust clearance or higher. The role emphasizes analytical solution development, data support, and visualizations that enable data-driven decisions.

Location

Arlington, VA (onsite)

Salary

USD 80,000 - 110,000 per year

Responsibilities

Generate analytical solutions to complex data problems by mining data, performing analysis, and producing actionable insights.
Support data and analytics requests by gathering business requirements, sourcing and analyzing data, and validating results.
Create and present visualizations that synthesize insights to support decision making.
Apply quantitative analysis to support business intelligence strategies and operational decision-making.
Design, implement, and manage ETL (Extract, Transform, Load) processes to move data accurately and efficiently between systems.
Use SharePoint and Excel for data storage, collaboration, and workflow automation.
Leverage Microsoft 365 applications such as Excel, Power BI, and Teams to analyze data, report results, and collaborate.
Partner with internal and external teams to develop short- and long-term data analytics tools and infrastructure.

Requirements

U.S. citizenship required with an active public trust clearance or higher.
Excellent verbal and written communication skills.
Bachelor’s degree in data science, Statistics, Applied Math Business Intelligence, or a related quantitative discipline.
2-5 years of progressively responsible experience.
Proficiency with standard office tools and applications, including MS Office, Word, Excel, PowerPoint, and Teams.
Strong analytical and statistical skills.
Strong communication, presentation, and collaboration abilities.
Experience with acquisition reporting, dashboards, metrics, data quality, and reporting automation.
Excellent skills in data mapping and functional requirements documentation.
High attention to detail to maintain accuracy in analysis and reporting and prevent errors that could affect business decisions.
Ability to present data confidently to team members, customers, and business leadership in both informal and formal settings.
Proven problem-solving, time management, and organizational skills.
Strong expertise with Microsoft O365 applications including Excel, SharePoint, and Power BI.