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Remote Big Data Engineer Jobs in Washington, DC (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

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0247542 Location: Arlington,VA,US Share job via: Share Data ... big data in forms needed for business analysis * Experience utilizing programming languages ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data ... Experience developing and maintaining scalable data stores that supply big data in forms needed for ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0247120 Location: Arlington,VA,US Share job via: Share Data ... big data in forms needed for business analysis * 1+ years of experience with source control and ...

Delan Associates, Inc.

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Develop and optimize big data workflows using Apache Spark and Hadoop technologies. Partner with Data Engineers, Analysts, and business stakeholders to deliver high-quality data solutions.

Delan Associates, Inc

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Develop and optimize big data workflows using Apache Spark and Hadoop technologies. Partner with Data Engineers, Analysts, and business stakeholders to deliver high-quality data solutions.

Steampunk

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

Big data tools: Hadoop, Spark, Kafka, etc. * Relational SQL and NoSQL databases, including Postgres ... Experience supporting project teams of developers and data scientists who build web-based ...

Steampunk

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

Big data tools: Hadoop, Spark, Kafka, etc. * Relational SQL and NoSQL databases, including Postgres ... Experience supporting project teams of developers and data scientists who build web-based ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Exposure to PySpark or other big data frameworks is a plus for future pipeline scalability ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

VTG

Software Engineer

Chantilly, VA · Remote

... Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience * Demonstrated experience with Java development. * Experience designing and operating Big Data systems.

Analytica

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial ... Experience with Databricks, Apache Spark, PySpark, or similar big data technologies. * Experience ...

Analytica

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial ... Experience with Databricks, Apache Spark, PySpark, or similar big data technologies. * Experience ...

Steampunk

Senior Data Engineer

Mclean, VA · On-site +1

$125K - $165K/yr

Big data tools: Hadoop, Spark, Kafka, etc. * Relational SQL and NoSQL databases, including Postgres ... Experience supporting project teams of developers and data scientists who build web-based ...

Steampunk

Senior Data Engineer

Mclean, VA · On-site +1

$125K - $165K/yr

Big data tools: Hadoop, Spark, Kafka, etc. * Relational SQL and NoSQL databases, including Postgres ... Experience supporting project teams of developers and data scientists who build web-based ...

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How much do remote big data engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote big data engineer in Washington, DC is $71.31, according to ZipRecruiter salary data. Most workers in this role earn between $60.67 and $80.29 per hour, depending on experience, location, and employer.

What is a remote big data engineer?

A Remote Big Data Engineer designs, develops, and manages large-scale data processing systems while working from a remote location. They build data pipelines, optimize data storage, and ensure efficient data processing for analytics and machine learning applications. Their role involves working with technologies like Hadoop, Spark, and cloud platforms to handle massive datasets. Effective communication and collaboration with distributed teams are essential for success in this role.

What skills and qualifications are needed to be a remote big data engineer?

To thrive as a Remote Big Data Engineer, you need a strong background in computer science, data engineering, and programming languages such as Python, Java, or Scala, often supported by a relevant degree. Expertise in big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP), along with certifications like Google Professional Data Engineer or AWS Certified Big Data, is highly valuable. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills allow you to excel in distributed teams. These skills and qualities enable you to efficiently manage, analyze, and derive insights from massive datasets in a remote work environment.

What challenges do remote big data engineers face and how can they be managed?

Remote Big Data Engineers often navigate challenges such as collaborating across different time zones, ensuring secure and efficient data transfer, and maintaining clear communication with distributed teams. Staying up to date with rapidly evolving technologies and troubleshooting complex data pipeline issues without in-person support can also be demanding. Successful engineers manage these challenges by leveraging robust project management tools, fostering transparent communication, and participating in ongoing training or knowledge-sharing sessions. By proactively addressing these hurdles, they contribute to smoother project delivery and continuous team collaboration.

What are the most commonly searched types of Big Data Engineer jobs in Washington, DC?

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

What are popular job titles related to Remote Big Data Engineer jobs in Washington, DC?

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

What job categories do people searching Remote Big Data Engineer jobs in Washington, DC look for?

The top searched job categories for Remote Big Data Engineer jobs in Washington, DC are:

Remote Big Data Engineer jobs near you
Infographic showing various Remote Big Data Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,927 per year, or $71.1 per hour.

Senior Big Data Engineer

Omniscius Consulting

Washington, DC • Remote

$57 - $75.50/hr

Full-time

Posted yesterday

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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