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Data Processing Jobs in Virginia (NOW HIRING)

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Build and optimize data ingestion processes from multiple structured and unstructured data sources. * Develop and maintain data models, data warehouses, and data marts to support business ...

New

Comcast

Software Engineer (Data)-4183

Reston, VA · On-site

$119K - $143K/yr

Contribute to a team responsible for creating and maintaining large scale Big Data systems and Data Environments, used to ingest and process large data sets and provide actionable recommendations ...

IT America Inc

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Design, implement, and maintain data processing systems utilizing the capabilities of AWS Glue for data ingestion, transformation, and orchestration. * Utilize EMR clusters for distributed data ...

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Responsibilities : • Design, build, and maintain distributed data processing pipelines to support operational AI adoption • Develop and optimize streaming architectures for real-time and batch ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Jobsbridge

Big Data Engineer

Lorton, VA

$56.25 - $74.50/hr

Experience working on a big data platform Demonstrated deep proficiency with Big Data processing technologies (Hadoop, Spark,HBase, Cassandra, other NO SQL solutions) Experience in building data ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Geo Owl

Data Scientist - Geospatial AI

Springfield, VA · On-site

Required : • Experience with Python, SQL/NoSQL, and cloud technologies. • Knowledge of APIs and large-scale data processing. • Strong analytical and problem-solving skills. Preferred : • ...

Accord Technologies Inc.

Sr. Data engineer

Reston, VA · On-site

$119K - $143K/yr

Hands-on experience with AWS Lambda for serverless data processing. * Experience building ETL pipelines using AWS Glue. * Experience working with data warehouse solutions (e.g., Redshift, BigQuery ...

Venture Global LNG

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Understanding of parallel processing and data architecture patterns. * Knowledgeable in data processing languages such as SQL, Python, or Spark. * Experience in building secure data processing ...

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All JobsData Processing JobsData Processing Jobs in Virginia

Data Processing information

See Virginia salary details

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$34

How much do data processing jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data processing in Virginia is $20.09, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $22.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, 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 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 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.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

What is a Data Processing job?

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.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are the most commonly searched types of Data Processing jobs in Virginia? The most popular types of Data Processing jobs in Virginia are:
What are popular job titles related to Data Processing jobs in Virginia? For Data Processing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Virginia look for? The top searched job categories for Data Processing jobs in Virginia are:
What cities in Virginia are hiring for Data Processing jobs? Cities in Virginia with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Virginia as of June 2026, with employment types broken down into 73% Full Time, 7% Part Time, and 20% Contract. Highlights an 80% In-person, 13% Hybrid, and 7% Remote job distribution, with an average salary of $41,792 per year, or $20.1 per hour.
Data Engineer

Data Engineer

eSolutionsFirst, LLC

Mclean, VA • On-site

$117K - $141K/yr

Other

Posted 2 days ago

Job description

We are seeking a skilled Data Engineer with 5 7 years of experience to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong expertise in SQL, Azure Data Services, and Databricks, with experience supporting analytics, reporting, and data-driven business initiatives. This role will collaborate closely with data analysts, software engineers, architects, and business stakeholders to deliver reliable, high-quality data solutions.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure and Databricks.
  • Build and optimize data ingestion processes from multiple structured and unstructured data sources.
  • Develop and maintain data models, data warehouses, and data marts to support business intelligence and analytics needs.
  • Write complex SQL queries, stored procedures, and performance-tuned data transformations.
  • Implement data quality, validation, and monitoring processes to ensure data accuracy and integrity.
  • Develop and maintain Databricks notebooks, workflows, and Spark-based data processing solutions.
  • Collaborate with business stakeholders, analysts, and engineering teams to gather requirements and deliver data solutions.
  • Optimize data pipelines for performance, scalability, and cost efficiency.
  • Support production deployments, troubleshoot data issues, and perform root cause analysis.
  • Create and maintain technical documentation, data lineage, and operational procedures.

Required Qualifications

  • 5 7 years of experience in Data Engineering, Data Warehousing, or related roles.
  • Strong SQL expertise including query optimization, performance tuning, indexing, and complex data transformations.
  • Hands-on experience with Azure Data Services including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure SQL Database, and Azure Synapse Analytics.
  • Strong experience with Databricks, Apache Spark, PySpark, and notebook development.
  • Experience building and maintaining ETL/ELT pipelines in cloud environments.
  • Proficiency in Python for data engineering and automation tasks.
  • Experience with dimensional modeling, star/snowflake schemas, and data warehousing concepts.
  • Knowledge of data governance, data quality, and metadata management practices.
  • Familiarity with Git-based source control and Agile development methodologies.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

  • Experience with Power BI or other reporting and visualization platforms.
  • Knowledge of Delta Lake, Lakehouse architecture, and real-time data processing.
  • Exposure to Azure DevOps, CI/CD pipelines, and Infrastructure-as-Code practices.
  • Experience working with large-scale enterprise datasets and distributed data processing.
  • Familiarity with data security, compliance, and access control best practices.
  • Azure Data Engineer Associate (DP-203) or related cloud certifications preferred.

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