1

Data Processing Manager Jobs in Silver Spring, MD

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

$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 Scientist

Mclean, VA · On-site

$90 - $120/hr

... management and data cataloging. develop and deploy machine learning (ML) and artificial intelligence (AI) models, including Natural Language Processing (NLP) to analyze unstructured text and the ...

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

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

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 Scientist

Washington, DC · On-site

$110 - $150/hr

... management and data cataloging. develop and deploy machine learning (ML) and artificial intelligence (AI) models, including Natural Language Processing (NLP) to analyze unstructured text and the ...

Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

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

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

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

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

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

Showing results 21-40

Data Processing Manager information

See Silver Spring, MD salary details

$35.7K

$54.3K

$70.8K

How much do data processing manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data processing manager in Silver Spring, MD is $54,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,900.00 and $64,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing manager?

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.

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 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. Strong leadership, technical skills, and understanding of data security are essential for this role.

What are the most commonly searched types of Data Processing jobs in Silver Spring, MD?

The most popular types of Data Processing jobs in Silver Spring, MD are:

What are popular job titles related to Data Processing Manager jobs in Silver Spring, MD?

For Data Processing Manager jobs in Silver Spring, MD, the most frequently searched job titles are:

What cities near Silver Spring, MD are hiring for Data Processing Manager jobs?

Cities near Silver Spring, MD with the most Data Processing Manager job openings:

Infographic showing various Data Processing Manager job openings in Silver Spring, MD as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $54,377 per year, or $26.1 per hour.

PySpark Data Engineer with Security Clearance

Kforce Federal Solutions

Washington, DC • On-site

$60 - $85/hr

Other

Posted 17 days ago


Job description

Data Engineer (TS/SCI Preferred)
Pay rate: $60-85hr W2 Overview We are seeking a Data Engineer to support a high-impact defense program focused on delivering advanced data solutions for mission-critical operations. This position offers the opportunity to work with modern cloud and big data technologies, building scalable data architectures and pipelines that support enterprise analytics, data integration, and decision-making across a secure environment. The ideal candidate will bring strong expertise in Databricks, PySpark, SQL, and DevOps practices, along with experience designing and optimizing large-scale data processing solutions. Location: Pentagon (Onsite) Duration: 1+ Year Contract with Extension Potential Clearance: Active TS/SCI Preferred (Secret Clearance Considered) Background Investigation: Required Key Responsibilities
Architect, develop, and maintain scalable data pipelines supporting enterprise data ingestion, processing, and transformation.
Design and optimize ETL workflows for large, complex datasets using PySpark and SQL.
Build and manage data engineering solutions within the Databricks platform.
Implement performance tuning strategies to improve reliability, scalability, and efficiency of data processing workloads.
Develop and maintain CI/CD pipelines to support automated testing, deployment, and monitoring.
Containerize and deploy applications using modern technologies such as Docker and Kubernetes.
Collaborate with software engineers, analysts, architects, and stakeholders to deliver scalable data solutions.
Apply DevOps principles and best practices to streamline development and deployment processes.
Support data governance, data quality, and system performance initiatives.
Troubleshoot and resolve data pipeline, platform, and performance-related issues.
Required Qualifications
Active TS/SCI clearance preferred; candidates with an active Secret clearance will also be considered.
Strong experience working within Databricks environments. Advanced proficiency with:
PySpark
SQL
ETL development and optimization
Data pipeline design and engineering
Experience implementing CI/CD pipelines and DevOps best practices.
Hands-on experience with Git version control.
Experience deploying and managing containerized applications using Docker and Kubernetes.
Strong understanding of distributed data processing and enterprise-scale data architectures.
Ability to optimize and tune high-volume data processing workloads.
Excellent problem-solving and analytical skills. Preferred Qualifications
Experience supporting federal or defense programs.
Databricks Certified Data Engineer Associate or Professional certification.
Experience working with financial management data.
Qlik dashboard and reporting experience.
Experience with secure federal data platforms such as Advana or Warfighter Data Platform (WDP).
Familiarity with cloud-native data engineering architectures and modern data integration frameworks. Technical Environment
Databricks
PySpark
SQL
Docker
Kubernetes
Git
CI/CD Pipelines
DevOps
Enterprise Data Platforms
Qlik Analytics