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Remote Big Data Jobs in Springfield, VA (NOW HIRING)

Omniscius Consulting

Senior Big Data Engineer

Washington, DC · Remote

$57 - $75.50/hr

Our client is seeking an experienced Big Data Engineer to design, develop, and support large-scale data pipelines and transformation processes. The ideal candidate will have strong SQL, Python, ETL ...

New

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Identify trends and problems through complex big data analysis. Maintain current in emerging tools ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Identify trends and problems through complex big data analysis. Maintain current in emerging tools ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247406 Location: Washington,DC,US Share job via: Share Data ... Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ...

Unacast

Senior Data Analyst/Scientist

Ashburn, VA · Remote

$110K - $130K/yr

Are you ready to dive into the world of big data and complex algorithms? We're seeking a Senior ... Other Info This is a remote position that may require occasional travel. Candidates must reside in ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... Design and implementation experience in Big Data technologies (Spark, Hadoop ecosystem, Kafka ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... Design and implementation experience in Big Data technologies (Spark, Hadoop ecosystem, Kafka ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... Design and implementation experience in Big Data technologies (Spark, Hadoop ecosystem, Kafka ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... Design and implementation experience in Big Data technologies (Spark, Hadoop ecosystem, Kafka ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... Design and implementation experience in Big Data technologies (Spark, Hadoop ecosystem, Kafka ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... Design and implementation experience in Big Data technologies (Spark, Hadoop ecosystem, Kafka ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... Design and implementation experience in Big Data technologies (Spark, Hadoop ecosystem, Kafka ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... Design and implementation experience in Big Data technologies (Spark, Hadoop ecosystem, Kafka ...

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All JobsBig Data JobsRemote Big Data JobsRemote Big Data Jobs in Springfield, VA

Remote Big Data information

See Springfield, VA salary details

$48K

$172.4K

$254.3K

How much do remote big data jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote big data in Springfield, VA is $172,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,400.00 and $177,600.00 per year, depending on experience, location, and employer.

What is a remote big data?

A Remote Big Data job involves working with large datasets, analyzing trends, and optimizing data infrastructure, all while telecommuting. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret complex data. They may work for tech companies, finance, healthcare, or other industries that rely on data insights. A strong background in data engineering, analytics, or machine learning is often required. These roles offer flexibility but demand strong communication and collaboration skills for remote teamwork.

What are the typical daily responsibilities of a remote big data professional?

As a Remote Big Data professional, your daily tasks often include developing, maintaining, and optimizing large-scale data processing pipelines, analyzing datasets to extract insights, and troubleshooting performance issues. You’ll collaborate closely with cross-functional teams—such as data engineers, analysts, and product managers—through virtual meetings and shared documentation tools. Regular responsibilities may also involve implementing data quality standards, ensuring data security, and integrating new data sources. The remote aspect of the role emphasizes self-motivation and clear digital communication to keep projects on track. This position offers a dynamic workday where your contributions directly impact business intelligence and innovation.

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

To excel as a Remote Big Data professional, a solid background in data analysis, distributed computing, and programming languages such as Python, Java, or Scala is essential, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud) as well as relevant certifications can be highly advantageous. Strong problem-solving abilities, self-management, and effective remote communication skills are critical for collaborating with distributed teams. These combined skills enable professionals to efficiently process massive datasets, create scalable solutions, and contribute to data-driven decision-making from a remote environment.

What are popular job titles related to Remote Big Data jobs in Springfield, VA?

For Remote Big Data jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Remote Big Data jobs in Springfield, VA look for?

The top searched job categories for Remote Big Data jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Remote Big Data jobs?

Cities near Springfield, VA with the most Remote Big Data job openings:

Remote Big Data jobs near you

Senior Big Data Engineer

Omniscius Consulting

Washington, DC • Remote

$57 - $75.50/hr

Full-time

Posted 2 days ago

New

Job description

Our client is seeking an experienced Big Data Engineer to design, develop, and support large-scale data pipelines and transformation processes. The ideal candidate will have strong SQL, Python, ETL/ELT, and data engineering experience, along with the ability to communicate technical concepts clearly to clients, stakeholders, and cross-functional teams.

Java experience is helpful for supporting existing systems and integrations but is not the primary focus of this position.

Responsibilities

  • Design, build, maintain, and optimize ETL/ELT pipelines that move and transform large-scale data across source and target systems.
  • Write and optimize complex SQL queries, stored procedures, data models, and validation processes.
  • Develop data transformation, integration, and automation solutions primarily using Python.
  • Use Java as needed to support existing applications, services, and system integrations.
  • Parse, transform, and validate XML-based data formats.
  • Work within Linux and shell environments to support scripting, scheduled jobs, cron processing, log reviews, and troubleshooting.
  • Implement data validation, error handling, monitoring, and traceability controls.
  • Troubleshoot pipeline failures, data discrepancies, performance issues, and integration defects.
  • Collaborate with client, security, infrastructure, data engineering, and delivery teams.
  • Communicate technical issues, risks, and recommendations clearly to technical and nontechnical stakeholders.
  • Participate in Agile planning, status reporting, documentation, issue tracking, and cross-team coordination.

Required Qualifications

  • Bachelor’s degree from an accredited college or university or equivalent professional experience.
  • Five or more years of professional experience in data engineering, database development, ETL/ELT development, or a related data integration role.
  • Strong hands-on SQL experience, including complex queries, performance tuning, stored procedures, and data modeling.
  • Experience designing, building, optimizing, and supporting large-scale data pipelines.
  • Strong Python programming experience supporting data transformation, integration, automation, or pipeline operations.
  • Experience parsing, transforming, and validating XML-based data.
  • Experience working in Linux and shell environments, including scripting, scheduled jobs, cron, and log troubleshooting.
  • Experience implementing data validation, error handling, pipeline monitoring, and production troubleshooting.
  • Strong written and verbal communication skills.
  • Ability to explain technical concepts clearly to clients and stakeholders.
  • Ability to collaborate across security, infrastructure, engineering, and delivery teams.
  • Self-motivated and proactive, with a positive and collaborative approach.
  • U.S. citizenship is required.
  • Must be willing and able to undergo a background investigation for a Public Trust suitability determination.

Preferred Qualifications

  • Experience using Python as the primary language for data pipeline automation, transformation, monitoring, or production troubleshooting.
  • Experience supporting Java-based applications, services, or integrations.
  • Working knowledge of AWS data services, including S3, Glue, Lambda, RDS, or Redshift.
  • Exposure to XBRL or other structured financial, regulatory, or compliance-driven data formats.
  • Experience supporting federal, government, or compliance-driven data environments.
  • Experience with Oracle, PostgreSQL, Redshift, or other relational database platforms.
  • Familiarity with reporting, analytics, or dashboarding tools such as Power BI or MicroStrategy

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