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Big Data Analytics Jobs in Virginia (NOW HIRING)

Smart Synergies

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Position Summary The Big Data Engineer will design, develop, and maintain big data ecosystem to support advanced analytics and data-driven decision-making across engineering, procurement, and ...

TechWish

Big Data Developer

Mclean, VA · On-site

$54.25 - $70.50/hr

Implement data ingestion, storage, transformation, and analysis of solutions that are scalable, efficient, and reliable. * Stay current with industry trends and emerging Big Data technologies to ...

New

CYNET SYSTEMS

Big Data Engineer

Reston, VA · On-site

$51 - $66/hr

Work closely with data scientists, analysts, and business SMEs to deliver actionable insights. * Integrate big data solutions with the organization's digital ecosystem and project execution platforms.

Cymertek

Big Data Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Big Data Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... and analytics needs. You will work closely with cross-functional teams to handle large-scale ...

Ventures Unlimited Inc

Sr. Big Data Architect

Mclean, VA · On-site

$68 - $91/hr

Hands on experience in the design of successful very large business data analytics solutions ... Experience with big data architectures, such as OpenStack, Hadoop, Pig, Hive or other big data ...

Cymertek

Cloud Big Data Software Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Cloud Big Data Software Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please ... Familiarity with real-time analytics platforms * Knowledge of Infrastructure as Code (IaC) tools ...

Cymertek

Big Data Engineer

Tysons, VA · On-site

$56 - $74/hr

Big Data Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... and analytics needs. You will work closely with cross-functional teams to handle large-scale ...

Cymertek

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... and analytics needs. You will work closely with cross-functional teams to handle large-scale ...

Cymertek

Cloud Big Data Software Engineer

Tysons, VA · On-site

$56 - $74/hr

Cloud Big Data Software Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with real-time analytics platforms * Knowledge of Infrastructure as Code (IaC) tools ...

Cymertek

Cloud Big Data Software Engineer

Reston, VA · On-site

$58 - $76.75/hr

Cloud Big Data Software Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with real-time analytics platforms * Knowledge of Infrastructure as Code (IaC) tools ...

Pae

Big Data Modeler/Analyst

Dahlgren, VA · On-site

$55.75 - $72.50/hr

Big Data Model/Analyst Responsibilities Include: * Perform Big Data analysis and modeling with some coding aptitude. * Support Naval projects/programs by conducting Big Data modeling within the ...

Palnar

Data Analytics

Reston, VA · On-site

The responsibilities include, but not limited to: - Coordinate with Enterprise Big Data Platform ... Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions ...

Jobsbridge

Big Data Engineer

Lorton, VA · On-site

$56.25 - $74.50/hr

Experience working on a big data platform Demonstrated deep proficiency with Big Data processing ... analysis tools using Java (not limited to J2EE), Scala, Python An understanding of databases and ...

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Big Data Analytics information

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How much do big data analytics jobs pay per hour?

As of Aug 29, 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 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.

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.

Is big data analytics a good career?

Big Data Analytics is a growing field with high demand for professionals skilled in data mining, statistical analysis, and tools like Hadoop and Spark. It offers competitive salaries, opportunities across various industries, and requires continuous learning of new technologies and programming languages such as Python or R.

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

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

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

The top searched job categories for 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:

Big Data Analytics jobs near you
Infographic showing various Big Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,153 per year, or $58.7 per hour.

Big Data Engineer

Reston, VA • On-site

Smart Synergies
Recruiting and Staffing Services • 1 - 10 employees
Learn more about Smart Synergiesexternal

$58 - $76.75/hr

Other

Posted 4 days ago

Job description

Position Summary

The Big Data Engineer will design, develop, and maintain big data ecosystem to support advanced analytics and data-driven decision-making across engineering, procurement, and construction workflows. This role is pivotal in enabling scalable, secure, and efficient data solutions for projects in semiconductor, electric vehicle, advanced materials, and data center sectors.

Job Dimensions

  • Supervision Received: Reports to Digital Solutions Lead and works under general direction.
  • Supervision Exercised: May provide technical guidance to junior engineers or analysts.
  • Contacts: Frequent interaction with data scientists, project managers, IT teams, and business stakeholders.

Key Responsibilities

  • Design and implement big data architectures, including ingestion, processing, and modeling of heterogeneous data sources.
  • Develop and maintain ETL/ELT pipelines for structured and unstructured data.
  • Work closely with data scientists, analysts, and business SMEs to deliver actionable insights.
  • Integrate big data solutions with digital ecosystem and project execution platforms.
  • Ensure data reliability, security, and compliance with governance policies.
  • Optimize data workflows for scalability and efficiency.
  • Explore emerging technologies and frameworks to enhance data engineering capabilities.
  • Support automation and advanced analytics initiatives across projects.

Basic Qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, or related field.
  • 3–5+ years of experience in big data engineering roles.
  • Proficiency with big data cloud platforms (AWS, Azure) and tools such as Hadoop, Spark, Kafka.
  • Strong skills in Python, SQL, and data modeling techniques.

Preferred Qualifications

  • Experience with containerization (Docker/Kubernetes) and CI/CD pipelines.
  • Familiarity with data governance frameworks and enterprise data architecture.
  • Knowledge of engineering and construction workflows is a plus.

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