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Big Data Jobs in Washington (NOW HIRING)

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 ...

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams ...

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams ...

Big Data Engineer

Reston, VA · On-site

$51 - $66/hr

Proficiency with big data cloud platforms (AWS, Azure) and tools such as Hadoop, Spark, Kafka. * Strong skills in Python, SQL, and data modeling techniques. Responsibilities: * Design and implement ...

Big Data Developer

Mclean, VA · On-site

$54.25 - $70.50/hr

Design, develop, and maintain large-scale data processing pipelines using Big Data technologies (e.g., Hadoop, Spark, Python, Scala). * Implement data ingestion, storage, transformation, and analysis ...

New

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

Big Data Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated ...

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 position requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data ...

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 requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data ...

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 requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data ...

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and solutions, PMO services, Innovation, R&D, Business Process and Improvements, and Software Engineering.

Big Data Engineer

Arlington, VA

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and solutions, PMO services, Innovation, R&D, Business Process and Improvements, and Software Engineering.

PH : 661 367 8000 x 513 Technical Skills Required Any combination of below technical skills Big Data : HDFS, MapReduce, Hive, Hbase, Pig, Mahout, Avro, Oozie, Flume, Sqoop Processing & Streaming

Big Data Engineer

Lorton, VA

$56.25 - $74.50/hr

Experience working on a big data platform Demonstrated deep proficiency with Big Data processing technologies (Hadoop, Spark,HBase, Cassandra, other NO SQL solutions) Experience in building data ...

The Big Data Manager is responsible for overseeing the development and implementation of big data solutions to support business operations. Main Responsibility and duties: Oversee the development and ...

Big Data Engineer

Washington, DC

$63.25 - $83.50/hr

Big Data Engineer Location: Washington, DC Duration: 6 Months Face to Face Must (NO SKYPE) must be Locals to VA/MD/DC Bachelor's degree in Computer Science, Computer or Electrical Engineering ...

Senior Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We have an exciting opportunity for a Big Data Engineer with our client in Rockville. Responsibilities of the Big Data Engineer: * Analyze system requirements and design responsive solutions

Big Data Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

Big Data Architect Location: Bethesda, MD Duration: Contract Professional Experience Required * 12-15 years of experience in designing, architecting and implementing large scale data processing/data ...

Big Data Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

Big Data Architect Location: Bethesda, MD Duration: Contract Professional Experience Required * 12-15 years of experience in designing, architecting and implementing large scale data processing/data ...

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Big Data information

See Washington salary details

$52.1K

$186.9K

$275.8K

How much do big data jobs pay per year?

As of Aug 29, 2026, the average yearly pay for big data in Washington is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 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 Washington?

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

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

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

What cities in Washington are hiring for Big Data jobs?

Cities in Washington with the most Big Data job openings:

Infographic showing various Big Data job openings in Washington as of August 2026, with employment types broken down into 58% Full Time, 5% Part Time, and 37% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Big Data Engineer

Smart Synergies

Reston, VA • On-site

$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.