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Big Data Jobs in Virginia (NOW HIRING)

Stem Xpert

Big Data Tester

Herndon, VA · On-site

Company Description TekWissen provides a unique portfolio of innovative capabilities that seamlessly combines clients insights, strategy, design, software engineering and systems integration. Our

Vantor

Big Data Analyst (TS/SCI)

Herndon, VA · On-site

$97K - $205K/yr

Please review the job details below. Vantor is currently seeking a Big Data Analyst to join our team. This role will be performed in our Vantor facility located in Herndon, Virginia and the customer

Vantor

Big Data Analyst (TS/SCI)

Herndon, VA · On-site

Job Summary : Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. They are seeking a Big Data

Saransh Inc

GCP Big Query Admin

Ashburn, VA · On-site

Role: GCP Big Query Admin Location: Ashburn, VA / Irving, TX (Hybrid - 3 days a week in office) Job Type: Contract No of Positions: 2 (1 in each location) Note: Please don't share GCP Engineers /

WiSC Enterprises, LLC

Chief Data Architect

Mclean, VA

$64.50 - $83/hr

The Chief Data Architect leads the design and implementation of enterprise data architecture and big data solutions supporting mission and operational objectives. This role provides technical

WiSC Enterprises, LLC

Chief Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Overview The Chief Data Architect leads the design and implementation of enterprise data architecture and big data solutions supporting mission and operational objectives. This role provides

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Big Data information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do big data jobs pay per year?

As of Aug 25, 2026, the average yearly pay for big data in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What is a big data?

A Big Data job involves managing, analyzing, and interpreting large volumes of data to help organizations make data-driven decisions. Professionals in this field work with technologies like Hadoop, Spark, and SQL, and use programming languages such as Python or Java. Roles can vary from data engineers who build data pipelines to data scientists who apply machine learning models. The goal is to extract meaningful insights from complex datasets to improve business operations and strategies.

What are the typical daily responsibilities in a big data role?

Professionals working in Big Data roles often spend their days collecting, cleaning, and processing large and complex datasets using various data technologies. They design data models, write complex queries, and develop algorithms to extract actionable insights for business stakeholders. Collaboration with data scientists, software engineers, and business analysts is common, as projects frequently require cross-functional teamwork. Additionally, staying up to date with emerging tools and maintaining data security are critical ongoing tasks.

What are the key skills and qualifications needed to thrive in a big data position?

To thrive in a Big Data role, you need strong analytical abilities, proficiency in programming languages like Python or Java, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Experience with big data tools such as Hadoop, Spark, and NoSQL databases, as well as certifications like Cloudera Certified Data Engineer, are highly valuable. Problem-solving skills, attention to detail, and effective communication are essential soft skills for success. These abilities enable professionals to manage, analyze, and interpret vast datasets to drive business decision-making and innovation.

Is big data still in demand?

Big Data professionals are in high demand across industries such as finance, healthcare, and technology due to the increasing reliance on data analytics and cloud computing. Skills in tools like Hadoop, Spark, and data modeling enhance job prospects, and certifications can improve employability in this evolving field.

What jobs are in big data?

Jobs in big data include roles such as Data Engineer, Data Scientist, Big Data Analyst, and Data Architect. These positions typically require skills in programming languages like Python or Java, knowledge of big data tools such as Hadoop or Spark, and experience with data modeling and database management. Certifications in data management or cloud platforms can also enhance job prospects.

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

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

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

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

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

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

What cities in Virginia are hiring for Big Data jobs?

Cities in Virginia with the most Big Data job openings:

Big Data jobs near you
Infographic showing various Big Data job openings in Virginia as of August 2026, with employment types broken down into 58% Full Time, 6% Part Time, and 36% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Urgent Need Hadoop Big Data Engineer with Healthcare exp

Reston, VA • On-site

USM
See more jobs at USMexternal

Contractor

Re-posted yesterday

Job description

Company Description

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.

Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.

Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps.

USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.

Job Description

GC and Citizens Only

Hi Friends,

Hope you are doing great,

I have an urgent requirement from one of my esteem client, I will appreciate if you can have an eye on the below requirement and send me your consultant updated profile ASAP.

Position Title: Big Data Engineer - Sr. Healthcare Analytics

Location: Reston, VA (Locals Only)

Duration: 3 months+

Looking for a Big Data Engineer, Healthcare Analytics Senior with proven past experience in leading and delivering the Big Data solutions. The resource needs to work with Business stakeholders, Management, Architects, Developers, infrastructure and administrators to deliver a prototype by end of Dec 2016.

Requirements:

Lead implementation teams from concept to completion by leveraging the best practices of Big Data

Participate in the analysis, architecture and design of data hub

Builds robust Big Data solution systems with an eye on the long term maintenance and support of the Application

Work as part of a team to design and develop code, scripts, and data pipelines that leverage structured and unstructured data integrated from multiple sources

Looks to leverage reusable code modules to solve problems across the team, including Data Preparation and Transformation and Data export and synchronization

Design and develop automated test cases that verify solution feasibility and interoperability, to include performance assessments

Act as a Big Data delivery liaison with Infrastructure, security, application development and testing team.

Helps drive cross team design / development via technical leadership / mentoring

Keep current on latest Big Data technologies and products, including hands-on evaluations and in-depth research

Consult and advise solution architects on overall enterprise-wide analytics solutions that include a Data Hub Component

Works with Project Manager to perform detailed planning, risks/issues escalation.

Qualifications

Requirements for Big Data Engineer, Healthcare Analytics Senior:

4+ years of experience working with batch-processing and tools in the Hadoop tech stack (e.g., MapReduce, Yarn, Pig, Hive, HDFS, Oozie)*

4+ years of experience working with tools in the stream-processing tech stack (e.g., Spark, Storm, Samza, Kafka, Avro)* Experience developing applications that work with NoSQL stores (e.g., ElasticSearch, Hbase, Cassandra, MongoDB, CouchDB)* Experience developing for TB-level data stores and/or 10Gbps+ ingest speeds

High-capacity data ingest into Hadoop or Spark is highly desired

Hands-on experience with at least one major Hadoop Distribution such as Cloudera or Horton Works or MapR or IBM Big Insights

System usage and optimization tools such as Splunk is a plus

At least 4 years of experience delivering enterprise IT solutions as a solutions architect

8+ years of experience with SQL and at least two major RDBMS's

5+ years as a systems integrator with Linux systems and shell scripting

8+ years of doing Data related benchmarking, performance analysis and tuning

5+ years of Java experience

Solid programming experience with a preference towards Java or Python

DBA and/or Data Modeling experience

Experience with operational and business-level metadata management

Bachelor's degree in Computer Science, Information Systems, Information Technology or related field and 6+ years of software development/DW & BI experience.

Health care experience is plus

Excellent verbal and written communication skills

Additional Information

If you are interested please share your resume to alih@usmsystems(dot)com or can directly call me on 703 955-3955

Apply