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Remote Big Data Engineer Jobs in Washington, DC (NOW HIRING)

Data Engineer

Arlington, VA · On-site +1

$131K - $158K/yr

This role offers the opportunity to work with modern big data tools, collaborate on impactful engineering work, and contribute to a hybrid environment with flexibility across East Coast Publicis ...

New

Jr. Data Engineer

Arlington, VA · On-site +1

$131K - $158K/yr

Work with big data frameworks and tools to support analytics, search, and aggregation use cases. * Collaborate with technical teams to translate business needs into practical data engineering ...

New

Data Engineer

Fort George G Meade, MD · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244467 Location: Fort Meade,MD,US Share job via: Share Data Engineer ... Given the expansion of big data analytics, new challenges are emerging for the integration of data ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer ... As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0244707 Location: Chantilly,VA,US Share job via: Share Data ... As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data ... big data in forms needed for business analysis * Experience creating software for retrieving ...

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

Databases & Big Data: 6+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

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.

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 ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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

Data Engineer, Senior

Chantilly, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0243548 Location: Chantilly,VA,US Share job via: Share Data Engineer ... As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered ...

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Big Data Technologies - Experience beyond Spark with distributed systems * Experience with ...

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 ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

  • Medical

  • Retirement

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 ...

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Remote Big Data Engineer information

See Washington, DC salary details

$17

$71

$99

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

As of Aug 14, 2026, the average hourly pay for remote big data engineer in Washington, DC is $71.33, according to ZipRecruiter salary data. Most workers in this role earn between $60.72 and $80.34 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 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 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 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:

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.

Data Engineer

Horizontal Talent

Arlington, VA • On-site, Remote

$131K - $158K/yr

Full-time

Posted yesterday

New


Job description

We’re looking for a Data Engineer to help build and support data ingestion, integration, and transformation solutions for a fast-paced client project. This role offers the opportunity to work with modern big data tools, collaborate on impactful engineering work, and contribute to a hybrid environment with flexibility across East Coast Publicis Sapient office locations or on site in Knoxville, TN.

Responsibilities
  • Design, build, and support data pipelines that handle batch and real-time ingestion from multiple sources
  • Develop solutions for data integration, transformation, storage, search, and aggregation
  • Work across big data frameworks and platforms to improve scalability, reliability, and performance
  • Collaborate with technical teams to translate business needs into practical data engineering solutions
  • Participate in design discussions and help ensure the overall health of the solution architecture
  • Support data engineering efforts involving cloud-based infrastructure and analytics use cases
  • Contribute to troubleshooting, optimization, and enhancement of existing data workflows
Skills
  • 4+ years of relevant experience working with big data technologies
  • Hands-on experience with Hadoop ecosystem tools such as HDFS, Kafka, Spark, Spark Streaming, Hive, Airflow, NiFi, Flink, or similar technologies
  • Strong programming skills in Java, Scala, or Python, with Java preferred
  • Experience working with NoSQL and MPP data platforms such as HBase, MongoDB, Cassandra, Redshift, Azure SQL DW, or BigQuery
  • Working knowledge of AWS data platform services
  • Ability to design and implement data engineering solutions independently
  • Strong problem-solving, communication, and collaboration skills
  • Bachelor’s degree or equivalent combination of education, training, and experience
Preferred Skills
  • Experience with ETL tools such as Informatica or Talend
  • Familiarity with databases such as Oracle, MySQL, SQL Server, or Postgres
  • Knowledge of data governance practices including security, lineage, and cataloging
  • Exposure to tools such as Collibra or Alation
  • Understanding of messaging frameworks such as ActiveMQ, RabbitMQ, or Solace
  • Experience with search and indexing technologies
  • Background in microservices architecture
  • Experience with performance tuning and pipeline optimization
  • Cloud data certifications or other relevant big data credentials

Horizontal is committed to fostering an inclusive and welcoming environment where different perspectives are valued and every team member can contribute meaningfully. We believe diversity, equity, and inclusion strengthen our teams and help drive better outcomes for everyone.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.