1

Data Processing Manager Jobs in Virginia (NOW HIRING)

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Build and optimize data ingestion processes from multiple structured and unstructured data sources ... Knowledge of data governance, data quality, and metadata management practices. * Familiarity with ...

Test new processes and systems for the management of data in clinical trials * Test clinical trial databases and data entry screens assuring compliance with protocol and institutional processes and ...

Test new processes and systems for the management of data in clinical trials * Test clinical trial databases and data entry screens assuring compliance with protocol and institutional processes and ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

Create and maintain robust ETL/ELT pipelines that process large volumes of data efficiently ... Exceptional time and project management skills. * Ability to work in a dynamic and fast-paced ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

Create and maintain robust ETL/ELT pipelines that process large volumes of data efficiently ... Exceptional time and project management skills. * Ability to work in a dynamic and fast-paced ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... of managing multiple priorities in a fast-paced environment. • Python, SQL, and PySpark (highly desired) for data processing and pipeline development. • Elastic/OpenSearch for search and ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Experience processing and managing large-scale structured and unstructured datasets. * Experience working in cloud-based data environments. Technical Skills * Strong proficiency with Python and SQL.

Sr. Data engineer

Reston, VA · On-site

$119K - $143K/yr

Hands-on experience with AWS Lambda for serverless data processing. * Experience building ETL ... Work with Data Warehouses to model and manage large-scale datasets for analytics and reporting.

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... processing pipelines to support operational AI adoption • Develop and optimize streaming architectures for real-time and batch data ingestion and transformation • Implement and manage an Data ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... management for mission-critical applications. Responsibilities : • Design, build, and maintain distributed data processing pipelines to support operational AI adoption • Develop and optimize ...

next page

Showing results 1-20

Data Processing Manager information

See Virginia salary details

$34.2K

$52K

$67.9K

How much do data processing manager jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data processing manager in Virginia is $52,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,100.00 and $62,000.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a Data Processing Manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What are the key skills and qualifications needed to thrive as a Data Processing Manager, and why are they important?

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

Are data managers in demand?

Data processing managers are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require strong analytical skills, knowledge of data management tools, and experience with data governance, making their roles essential in organizations seeking to optimize data workflows.

What is the highest paying job in data?

In data-related fields, executive roles such as Chief Data Officer (CDO) or Chief Data Scientist tend to be the highest paying, often earning six-figure salaries or more. These positions require extensive experience, leadership skills, and expertise in data strategy, analytics, and governance.

Is a data processor a stressful job?

A data processing manager role can be stressful due to tight deadlines, high accuracy requirements, and managing large volumes of data. The job often involves attention to detail, problem-solving skills, and working with data management tools, which can contribute to workload pressure.

What does a Data Processing Manager do?

A Data Processing Manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. The role often requires strong leadership, problem-solving skills, and knowledge of data security and compliance standards.
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 Manager jobs in Virginia? For Data Processing Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Processing Manager jobs in Virginia look for? The top searched job categories for Data Processing Manager jobs in Virginia are:
What cities in Virginia are hiring for Data Processing Manager jobs? Cities in Virginia with the most Data Processing Manager job openings:
Infographic showing various Data Processing Manager job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,049 per year, or $25 per hour.
Data Engineer

$117K - $141K/yr

Other

Posted 23 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.