2

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

Data Engineer

Herndon, VA · Remote

$117K - $141K/yr

... Client and/or big data solutionsBachelor's Degree or higher in one of the following fields ... Familiarity deploying deep learning (TensorFlow, Keras) frameworksExperience working with remote ...

Data Engineer

Herndon, VA · Remote

$117K - $141K/yr

... Client and/or big data solutionsBachelor's Degree or higher in one of the following fields ... Familiarity deploying deep learning (TensorFlow, Keras) frameworksExperience working with remote ...

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 ...

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 ...

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 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

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

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 ...

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 ...

... 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

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

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 ...

next page

Showing results 1-20

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 21, 2026, the average hourly pay for remote big data engineer in Washington, DC is $71.06, according to ZipRecruiter salary data. Most workers in this role earn between $60.48 and $80.00 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 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.

$117K - $141K/yr

Full-time

Re-posted 18 days ago


Job description

Job TitleResponsibilities:Productize prototype models produced by AI / Client teamDesign and implement cloud architecture to facilitate scalable storage and computingLoad and transform data from a variety of sourcesEngineer data features suitable for consumption by machine learning algorithmsRegularly attending team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues.Qualifications:3+ years of hands-on experience as a data engineer, cloud engineer, or software developer with at least 2 years focused on AI/Client and/or big data solutionsBachelor's Degree or higher in one of the following fields: computer science, data science, or another computational fieldPython 3 proficiencyExperience in providing data architecture solutions for AWS Cloud applicationsExperience with data migration to cloud based environmentFamiliarity with database technologies (SQL and NoSQL)Experienced in the use of standard ETL tools and techniquesAbility to manipulate raw data into effective visualization dashboards and reportsUnderstanding of data warehousing, data cleaning, data pipelines and other analytical techniques required for data usageStrong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insightsMust be a US Person for this roleDesired Skills:5+ years of hands-on experience as a service platform, cloud infrastructure, or data engineer.Experience with map-reduce frameworks such as Hadoop, Spark, etc.Familiarity deploying deep learning (TensorFlow, Keras) frameworksExperience working with remote sensing data, ideally satellite imagery and an understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards


1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014