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Data Processing Jobs in Washington, DC (NOW HIRING)

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. The ideal candidate will have strong ...

Senior Data Architect

Mclean, VA · On-site

$68 - $91/hr

Align data models with organizational goals and enterprise data-processing requirements. Qualifications: * 10+ years of experience in data architecture, semantic modeling, ontology/taxonomy design ...

SR. AWS DATA ENGINEER

Reston, VA · On-site

$119K - $143K/yr

W2 This position is for AWS Data Engineer. 5-7+ years experience with AWS data engineering, ETL/ELT pipelines, and cloud?native data processing. Looking for proficiency in the following areas : * AWS ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. The ideal candidate will have strong ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. The ideal candidate will have strong ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. The ideal candidate will have strong ...

Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. Responsibilities : • Design ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. Responsibilities : • Design ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. Responsibilities : • Design ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

Optimize data processing workflows and queries for performance, scalability, and cost efficiency within AWS environments. * Support future pipeline scalability through exposure to PySpark and other ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Ingest, process, and transform large volumes of structured and unstructured data * Ensure data quality, integrity, and reliability across systems * Collaborate with data analysts, data scientists ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Ingest, process, and transform large volumes of structured and unstructured data * Ensure data quality, integrity, and reliability across systems * Collaborate with data analysts, data scientists ...

Data Scientist

Mclean, VA · On-site

$90 - $120/hr

Verifiable project experience developing data pipelines for batch or streaming data processing, including data cleansing, standardization, and normalization. * Experience on at least two (2) distinct ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Ingest, process, and transform large volumes of structured and unstructured data * Ensure data quality, integrity, and reliability across systems * Collaborate with data analysts, data scientists ...

Showing results 41-60

Data Processing information

See Washington, DC salary details

$13

$22

$39

How much do data processing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data processing in Washington, DC is $22.94, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $25.29 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What job categories do people searching Data Processing jobs in Washington, DC look for?

The top searched job categories for Data Processing jobs in Washington, DC are:

Infographic showing various Data Processing job openings in Washington, DC as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,725 per year, or $22.9 per hour.

Data Engineer

KDA Consulting Inc

Chantilly, VA • On-site

$117K - $140K/yr

Full-time

Re-posted 17 days ago


Job description

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence Community (IC). This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments.

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies, with the ability to operate in a fast-paced, collaborative environment supporting complex mission systems.

Data Pipeline Development & Engineering

  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Build and optimize data workflows supporting both batch and real-time processing
  • Ensure high availability and reliability of data pipelines across enterprise systems

AWS Cloud & Data Services

  • Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions
  • Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient
  • Implement best practices for data storage, partitioning, and lifecycle management

Data Optimization & Performance

  • Optimize data storage and retrieval for performance, scalability, and cost efficiency
  • Implement indexing, partitioning, and query optimization strategies
  • Monitor and troubleshoot data pipeline performance issues

Data Quality & Governance

  • Ensure data accuracy, consistency, and integrity across all data pipelines and systems
  • Implement validation, monitoring, and error-handling mechanisms
  • Support data governance practices and compliance with security and IC standards

Collaboration & Integration

  • Work closely with data scientists, software engineers, and mission stakeholders to support analytics and operational needs
  • Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms
  • Participate in Agile development processes and contribute to continuous improvement efforts

Requirements

Active TS/ SCI W/ Polygraph Required.

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

Demonstrated experience in data engineering and pipeline development

Strong experience with AWS data services (e.g., S3, Glue, Redshift, Lambda, EMR)

Proficiency in SQL and Python for data processing and transformation

Experience working with large-scale data sets and big data technologies

Strong analytical and problem-solving skills