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Big Data Engineer Jobs in Reston, VA (NOW HIRING)

Accord Technologies Inc.

Data Engineer II

Arlington, VA · On-site

$131K - $158K/yr

Banking/Financial, Big Data, Data Modeling, ETL, Hadoop, Python, Spark, SQL , The ideal candidate must have 9+ years of hands-on data engineering experience building large-scale ETL pipelines using ...

MANTECH

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Experience with the full data lifecycle, from ingest through display, in a Big Data environment.

MANTECH

Data Engineer

Chantilly, VA

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Experience with the full data lifecycle, from ingest through display, in a Big Data environment.

MANTECH

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Experience with the full data lifecycle, from ingest through display, in a Big Data environment.

MANTECH

Data Engineer

Chantilly, VA

$117K - $140K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Experience with the full data lifecycle, from ingest through display, in a Big Data environment.

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

Booz Allen Hamilton

Data Engineer, Mid

Mclean, VA

$62K - $141K/yr

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

Booz Allen Hamilton

Mid Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

Booz Allen Hamilton

Data Engineer, Mid

Chantilly, VA

$62K - $141K/yr

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

Booz Allen Hamilton

Mid Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

Booz Allen Hamilton

Data Engineer, Mid

Mclean, VA

$62K - $141K/yr

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

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Big Data Engineer information

See Reston, VA salary details

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How much do big data engineer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for big data engineer in Reston, VA is $65.52, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $73.80 per hour, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Big Data Engineers with extensive experience, advanced skills in tools like Hadoop, Spark, and cloud platforms, and often certifications can earn $300,000 or more annually. Compensation varies by industry, location, and company size, with some roles in finance, technology, and consulting reaching this level for highly specialized professionals.

Can I make 200k as a data engineer?

Big Data Engineers with extensive experience, advanced skills in tools like Spark and Hadoop, and certifications can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual expertise.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and manages systems that process and store large volumes of data. They develop data pipelines, integrate data from various sources, and ensure that the infrastructure is scalable, reliable, and efficient. Their work enables organizations to analyze and derive insights from massive datasets, supporting decision-making and business intelligence. Big Data Engineers often work with technologies like Hadoop, Spark, and cloud platforms.

What are the key skills and qualifications needed to thrive as a Big Data Engineer, and why are they important?

To thrive as a Big Data Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with data modeling, and a solid understanding of distributed computing and database systems, typically supported by a degree in computer science or a related field. Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, and relevant cloud services, as well as certifications such as Cloudera or AWS Big Data, is also important. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help bridge technical solutions with business needs. These skills are crucial for designing scalable data pipelines, ensuring efficient data processing, and delivering actionable insights that drive organizational success.

What do big data engineers do?

Big Data Engineers design, build, and maintain large-scale data processing systems and pipelines using tools like Hadoop, Spark, and Kafka. They ensure data is collected, stored, and processed efficiently to support analytics and business insights, often working with cloud platforms and scripting languages such as Python or Scala.

What are some common challenges Big Data Engineers face when working with large-scale data pipelines?

Big Data Engineers often encounter challenges related to optimizing data pipelines for scalability and reliability, especially as data volume and velocity increase. Issues like managing data consistency, handling schema changes, and ensuring low-latency data processing are frequent hurdles. Collaborating closely with data scientists and DevOps teams is crucial, as projects often require integrating diverse data sources and maintaining high data quality standards. Staying up-to-date with evolving big data technologies and best practices is essential to address these ongoing challenges effectively.

What engineers make $500,000?

Senior Big Data Engineers with extensive experience, advanced skills in tools like Hadoop and Spark, and often certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Compensation typically includes base salary, bonuses, and stock options, reflecting their expertise and leadership roles in data infrastructure projects.
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What job categories do people searching Big Data Engineer jobs in Reston, VA look for? The top searched job categories for Big Data Engineer jobs in Reston, VA are:
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Big Data Engineer jobs near you
Infographic showing various Big Data Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 3% As Needed, 66% Full Time, 28% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $136,287 per year, or $65.5 per hour.
Data Engineer II

Data Engineer II

Accord Technologies Inc.

Arlington, VA • On-site

$131K - $158K/yr

Contractor

Posted 8 days ago

Job description

Title: Data Engineer II
Location : Arlington, VA, (Onsite) 
Position type: W2 contract
Industry: Banking/Financials/Payments
 
Mandatory: Banking/Financial, Big Data, Data Modeling, ETL, Hadoop, Python, Spark, SQL , 

Job Description:
The ideal candidate must have 9+ years of hands-on data engineering experience building large-scale ETL pipelines using Apache Spark, Hadoop, Python, and SQL. They also need a strong background in the payments or financial sector, paired with excellent communication skills to effectively influence and partner with cross-functional teams.
 
Required Education
• Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.
Required Qualifications/Skills/Experience:
• Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies.
• Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
• Hands-on experience with big data technologies such as:
• Apache Spark (PySpark, Spark SQL, Spark Streaming)
• Hadoop ecosystem (HDFS/ Ozone, Hive, YARN)
• Understanding data modeling concepts and database design to support scalable data solutions.
• Familiarity with Python.
• Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
• Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
• Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
Role:
This role focuses on designing, implementing, and maintaining scalable enterprise ETL processes and robust data pipelines for a global client base. You will leverage big data frameworks like Apache Spark and Hadoop, along with SQL and Python, to optimize data processing and ensure high data quality. Working closely with cross-functional teams, you will automate routine tasks and deliver accurate, high-value data solutions across various industries.
• Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
• Develop scalable and efficient code to process data, ensuring availability and accessibility in a timely manner.
• Leverage big data processing frameworks such as Apache Spark and Hadoop to build and optimize data pipelines.
• Collaborate with senior engineers to address data challenges, contributing to solutions that maintain high data quality.
• Assist in the data delivery process, working alongside Data Engineers and Analysts to support accurate, high-value data solutions across various clients and industries.
• Build strong working relationships with team members and clients, contributing to both local and global projects.
• Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.
• Use SQL and other database technologies to help optimize data processing and reduce the time required to handle large data sets.
• Design, implement, and maintain data pipelines using ETL frameworks, orchestration tools, and distributed data processing engines.
• Participate in efforts to automate routine data tasks and streamline processes.
• Comply with all Mastercard internal policies and adhere to external regulations.