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Big Data Analytics Jobs in Virginia (NOW HIRING)

BIG DATA ENGINEERS - HADOOP

Arlington, VA

$64.25 - $84.75/hr

Company Description AN INNOVATIVE START-UP IN ARLIGNTON IS LOOKING FOR BIG DATA ENGINEERS!!! What ... Take a product through the entire lifecycle of analysis, design, coding, testing and implementation ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Closure Technologies offers big data, analytics, cloud infrastructure, software development, and cyber security services. Founded in 2015, the company is headquartered in Haymarket, USA, with a team ...

Title: Sr. Hadoop Big Data Developer Location: Herndon, VA Type: Contract to Hire Required Skills: * Strong and deep knowledge of Java application development * Hands on experience in LINUX, Java ...

Big Data Engineer

Alexandria, VA

$59.75 - $79/hr

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is ...

Big Data Developer (Java)

Richmond, VA · On-site

$52.50 - $68/hr

Big Data Developer (Java) Location : Richmond, VA Type : Full Time Permanent : Should be having very good expertise in core java concepts Should be having hands on with various scripts like shell ...

Company Description Title: Sr. Hadoop Big Data Developer Location: Herndon, VA Type: Contract to Hire Required Skills: * Strong and deep knowledge of Java application development * Hands on ...

Big Data Engineer/Cloud Data Engineer

Richmond, VA · On-site

$55.25 - $73/hr

Big Data Engineer/Cloud Data Engineer in Richmond, VA Qualifications * 9+ years of experience in software development including design, coding and testing * Must have hands on experience with Java ...

$80K/yr

... Big data & graph database design, and relational, analytical & unstructured data development to create simplified and AI-ready data products. Responsibilities include: Leverage cloud platforms (e.g ...

Big Data Engineer_49415 Location: Reston, VA Duration: Full Time Description: * 6+ years of hands on experience and strong and deep knowledge of Java application development * Experience processing ...

... big data analysis, and implementation of data models • Apply industry and technical knowledge to support advanced and complex projects, as requested Qualifications : Required : • U.S. citizenship ...

... big data analysis, and implementation of data models • Apply industry and technical knowledge to support advanced and complex projects, as requested Qualifications : Required : • U.S. citizenship ...

Acumen Solutions is looking for a Sr. Manager of Data Analytics to join our Analytics team. The Sr. ... Working knowledge of BI/Big Data * Demonstrated project management skills Additional Information ...

Showing results 41-60

Big Data Analytics information

See Virginia salary details

$56

$58

$59

How much do big data analytics jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for big data analytics in Virginia is $58.73, according to ZipRecruiter salary data. Most workers in this role earn between $58.17 and $59.33 per hour, depending on experience, location, and employer.

What does a big data analytics professional do?

A Big Data Analytics professional typically spends their day collecting, cleaning, and organizing large datasets, designing and running data models, and interpreting trends to generate actionable insights for business stakeholders. They may collaborate closely with data engineers, data scientists, and business analysts to ensure data quality and relevance. Regular tasks also include creating data visualizations, preparing reports, and presenting findings to both technical and non-technical teams. Working in this field often involves keeping up-to-date with new technologies and methods to optimize and streamline analytics processes.

What are the key skills and qualifications needed for big data analytics?

To excel in Big Data Analytics, professionals need strong analytical abilities, proficiency in data modeling, statistics, and a solid foundation in computer science or mathematics, often supported by a relevant degree. Experience with tools like Hadoop, Spark, SQL, and familiarity with programming languages such as Python or R—as well as certifications in big data technologies—are highly valued. Critical thinking, effective communication, and problem-solving skills help in translating complex data into actionable business insights. These capabilities are crucial for handling large datasets, deriving meaningful conclusions, and supporting organizational decision-making.

What is a big data analytics?

A Big Data Analytics job involves analyzing large and complex datasets to extract meaningful insights, trends, and patterns that help businesses make data-driven decisions. Professionals in this field use tools like Hadoop, Spark, SQL, and machine learning algorithms to process and interpret data. Responsibilities may include data mining, predictive modeling, and creating visualizations to communicate findings effectively. These roles are in high demand across industries like finance, healthcare, e-commerce, and technology. Strong analytical skills, programming knowledge, and an understanding of data infrastructure are essential for success in this field.

Is big data analytics a good career?

Big Data Analytics is a growing field with high demand for professionals skilled in data analysis, programming, and tools like Hadoop and Spark. It offers competitive salaries, opportunities for advancement, and requires continuous learning to keep up with evolving technologies.
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 cities in Virginia are hiring for Big Data Analytics jobs? Cities in Virginia with the most Big Data Analytics job openings:
Infographic showing various Big Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,153 per year, or $58.7 per hour.

Senior Software Engineer (Big Data)

Kda Consulting

Chantilly, VA • On-site

$100 - $130/hr

Other

Re-posted 8 days ago


Job description

KDA Consulting Inc. is seeking a highly skilled Full Stack Developer with Big Data expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on designing, developing, and maintaining scalable applications that process and analyze large volumes of data in support of national security objectives.

The ideal candidate will bring a strong mix of full stack engineering capabilities and data‑intensive application experience, with the ability to operate in a fast‑paced, highly collaborative environment. This position offers the opportunity to work on modernized systems, cloud‑based architectures, and high‑impact mission applications.

Full Stack Development
  • Design, develop, and maintain scalable full stack applications across both front‑end and back‑end components
  • Build responsive and user‑friendly interfaces using modern front‑end frameworks
  • Develop robust backend services, APIs, and microservices architectures
Big Data & Data Processing
  • Work with large‑scale data processing frameworks such as Hadoop, Apache Spark, and Kafka
  • Design and implement data pipelines to ingest, transform, and process structured and unstructured data
  • Optimize data workflows for performance, scalability, and reliability
System Architecture & Integration
  • Architect and integrate distributed systems in cloud and hybrid environments (AWS preferred)
  • Design RESTful APIs and ensure seamless integration between application layers and data platforms
  • Support system modernization efforts, transitioning legacy systems to scalable, cloud‑native solutions
Collaboration & Agile Delivery
  • Work closely with cross‑functional teams including data engineers, DevOps engineers, and mission stakeholders
  • Participate in Agile development processes including sprint planning, stand‑ups, and retrospectives
  • Communicate technical solutions and progress effectively to both technical and non‑technical stakeholders

Active TS/SCI clearance (Polygraph strongly preferred)

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

Strong experience in full stack development (frontend + backend)

Hands‑on experience with big data technologies such as Hadoop, Spark, Kafka, or similar

Proficiency in one or more programming languages such as Java, Python, or C#

Experience building and consuming APIs and working with microservices architectures

Strong problem‑solving skills and ability to work independently in complex environments

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