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Remote Big Data Analytics Jobs in Virginia (NOW HIRING)

Maximus

Data Scientist II (Remote)

VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City ... big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud ...

Virginia Tech

Data and Analytics Engineer

Blacksburg, VA · Remote

$117K - $140K/yr

Blacksburg, Virginia, Fully Remote, Hybrid Categories: Information Systems / Technology The Data and Analytics Engineer role is responsible for designing, developing, and supporting enterprise data ...

Sentara Healthcare

Healthcare Data Analyst

Norfolk, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an integrated health system, Sentara delivers analytics across a broad range of healthcare ... City/State Norfolk, VA Work Shift First (Days) Location(s) Virginia Remote Overview Overview The ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Exposure to PySpark or other big data frameworks is a plus for future pipeline scalability ... Work closely with Data Scientists, Analysts, and stakeholders to understand data requirements.

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... big data in forms needed for business analysis * Experience creating software for retrieving ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and analytics lead responsible for developing, maintaining, and continuously improving the program's tracking databases, performance dashboards, and metrics reporting capabilities--directly ...

A-TEK Inc.

Health IT Data Analyst I

Alexandria, VA · Remote

$70K - $75K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Data Analytics, Statistics, Information Systems, or related discipline.

Parsons

Senior Data Scientist

Springfield, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analysis- Senior,leads the integration and application of advanced data analytics to solve ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Steampunk

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

... big data systems including Hadoop, Spark, Scala * Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar * Experience with Git, Bash, Unix commands * Experience in Cloud analytics ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer ... As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered ...

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All JobsBig Data Analytics JobsRemote Big Data Analytics JobsRemote Big Data Analytics Jobs in Virginia

Remote Big Data Analytics information

What is a remote big data analytics?

A Remote Big Data Analytics job involves analyzing large and complex data sets to extract insights, identify trends, and support data-driven decision-making, while working from a location outside a traditional office environment. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret big data, often collaborating with teams virtually. They help businesses optimize operations, improve products, and better understand customer behavior. Remote Big Data Analysts must have strong analytical, technical, and communication skills to succeed in this flexible work arrangement.

What is the difference between Remote Big Data Analytics vs Remote Data Engineer?

AspectRemote Big Data AnalyticsRemote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in analytics toolsBachelor's in CS, Software Engineering, or related; certifications in cloud platforms and data pipelines
Work EnvironmentData analysis platforms, cloud services, analytics toolsData pipelines, ETL tools, cloud infrastructure
Industry UsageFinance, healthcare, marketing, e-commerceTech, finance, healthcare, retail
Common Search & ComparisonYesYes

Remote Big Data Analytics focuses on analyzing large datasets to extract insights, using analytics tools and statistical methods. Remote Data Engineers build and maintain data pipelines and infrastructure to enable data analysis. While both roles work with big data, analytics professionals interpret data, whereas engineers develop the systems to process it.

What are some common challenges faced by professionals working in remote big data analytics roles, and how can they be addressed?

Professionals in remote Big Data Analytics roles often encounter challenges related to data accessibility, effective communication with cross-functional teams, and managing time zones. Ensuring secure access to large datasets and collaborating efficiently with colleagues can be more complex when working remotely. To address these challenges, it's important to use robust cloud-based tools, establish clear communication practices, and schedule regular virtual check-ins. Additionally, developing strong self-discipline and time management skills can help maintain productivity and collaboration.

What are the key skills and qualifications needed to thrive as a remote big data analytics professional?

To thrive as a Remote Big Data Analytics professional, you need a strong background in statistics, data modeling, and programming languages like Python or R, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools such as Hadoop, Spark, SQL databases, and cloud platforms like AWS or Azure, as well as certifications in these technologies, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are standout soft skills for this role. These skills enable effective data-driven decision-making and collaboration across distributed teams in dynamic business environments.

What are the most commonly searched types of Big Data Analytics jobs in Virginia?

The most popular types of Big Data Analytics jobs in Virginia are:

What are popular job titles related to Remote Big Data Analytics jobs in Virginia?

For Remote Big Data Analytics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Big Data Analytics jobs in Virginia look for?

The top searched job categories for Remote Big Data Analytics jobs in Virginia are:

What cities in Virginia are hiring for Remote Big Data Analytics jobs?

Cities in Virginia with the most Remote Big Data Analytics job openings:

Remote Big Data Analytics jobs near you

Data Scientist (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Re-posted 21 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is seeking multiple Data Scientists to support advanced fraud analytics and investigative initiatives for a federal oversight organization. These positions will develop, test, validate, and deploy innovative analytical solutions that help identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs and other government-funded initiatives.
Working as part of a multidisciplinary analytics team, Data Scientists will leverage statistical analysis, machine learning, data visualization, entity resolution, and risk modeling techniques to transform large, diverse datasets into actionable intelligence supporting investigators, auditors, and government decision-makers.
The ideal candidate is a technically strong, mission-focused data scientist who enjoys solving complex analytical problems while collaborating with investigators, business analysts, data engineers, forensic accountants, and government stakeholders.
Key Responsibilities
  • Develop, test, validate, and maintain fraud detection and program integrity analytics.
  • Design analytical rules and methodologies to identify fraud indicators, anomalies, suspicious activity, and emerging risks.
  • Perform exploratory data analysis, feature engineering, model development, validation, and performance evaluation.
  • Analyze structured and unstructured data from multiple public, non-public, commercial, financial, and government data sources.
  • Collaborate with Data Engineers to prepare and optimize data for analytics.
  • Support entity resolution, anomaly detection, predictive analytics, and risk scoring initiatives.
  • Produce dashboards, reports, visualizations, and analytical products that support investigative decision-making.
  • Document analytical methodologies, assumptions, validation results, and technical findings.
  • Participate in Agile delivery activities including sprint planning, demonstrations, peer reviews, and iterative model development.

Required Qualifications
  • Must have experience with Fraud Analysis
  • Three (3) or more years of professional experience in data science, applied analytics, machine learning, statistics, fraud analytics, or a related quantitative field.
  • Strong programming experience using Python and SQL.
  • Experience developing and validating analytical models.
  • Experience analyzing structured and unstructured datasets.
  • Experience documenting analytical methodologies and technical findings.
  • Strong analytical reasoning and problem-solving skills.
  • Excellent written and verbal communication skills.

Preferred Qualifications
Preference will be given to candidates with experience in one or more of the following:
  • Fraud detection, fraud prevention, financial crime analytics, or program integrity.
  • Federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other public-sector programs.
  • Risk modeling, anomaly detection, entity resolution, predictive analytics, and statistical modeling.
  • Cloud analytics environments such as Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake Storage (ADLS), Power BI, Git repositories, or Lakehouse architectures.
  • Working with public, non-public, commercial, financial, or cross-agency datasets.
  • Data visualization and dashboard development.
  • Agile software development and analytics teams.
  • Enterprise data governance, metadata management, and data quality best practices.

What We're Looking For
We're looking for curious, collaborative data scientists who enjoy using data to solve challenging fraud detection problems. The ideal candidate combines strong analytical skills with a passion for supporting government oversight and investigative missions through innovative, data-driven solutions.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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