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Data Processing Assistant Jobs in Lanham, MD (NOW HIRING)

GRVTY

Data Scientist 3

Annapolis Junction, MD · On-site

Data Processing: (Data management and curation, data description and visualization, workflow and ... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ...

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and ... conversely, assist others with drawing appropriate conclusions from the analysis of such data.

Core4ce

Data Engineer

Fort George G Meade, MD · On-site

$135K - $190K/yr

Participate in agile development ceremonies and contribute to sprint planning and backlog management for DCO capability development * Assist with data quality assurance processes to ensure integrity ...

Core4ce

Data Engineer

Fort George G Meade, MD · On-site

$127K - $152K/yr

Participate in agile development ceremonies and contribute to sprint planning and backlog management for DCO capability development * Assist with data quality assurance processes to ensure integrity ...

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

Responsibilities : • Foundations: (Mathematical, Computational, Statistical) 2. Data Processing ... assist others with drawing appropriate conclusions from the analysis of such data. • Effectively ...

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All JobsData Processing JobsData Processing Assistant JobsData Processing Assistant Jobs in Lanham, MD

Data Processing Assistant information

See Lanham, MD salary details

$12

$20

$34

How much do data processing assistant jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data processing assistant in Lanham, MD is $20.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

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

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

What is the difference between Data Processing Assistant vs Data Entry Clerk?

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What does a data processing assistant do?

A data processing assistant is responsible for collecting, organizing, and verifying data to ensure accuracy and completeness. They often use software tools like spreadsheets or database systems and may perform tasks such as data entry, cleaning, and formatting to support data analysis and reporting.

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

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

What job categories do people searching Data Processing Assistant jobs in Lanham, MD look for?

The top searched job categories for Data Processing Assistant jobs in Lanham, MD are:

What cities near Lanham, MD are hiring for Data Processing Assistant jobs?

Cities near Lanham, MD with the most Data Processing Assistant job openings:

Data Processing Assistant jobs near you
Infographic showing various Data Processing Assistant job openings in Lanham, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,188 per year, or $20.3 per hour.

Data Engineer (Data Architecture & Engineering)

Elite Technical

Washington, DC • On-site

$129K - $155K/yr

Other

Re-posted 3 days ago

Job description

Data Engineer (Data Architecture & Engineering)

As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data. You will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions. You will create, maintain, and optimize data pipelines as workloads move from development to production for specific use cases to ensure seamless data flow for the use case. You will perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics. You will analyze data and systems architecture, create designs, and implement information systems solutions. Essential Duties and Responsibilities:
- Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Develop and design data pipelines to support an end-to-end solution.
- Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes).
- Integrate data pipelines with AWS cloud services to extract meaningful insights.
- Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues.
- Design and develop robust and functional dataflows to support raw data and expected data.
- Provide Tier 3 technical support for deployed applications and dataflows.
- Define and communicate a clear product vision for our client-s software products, aligning with user needs and business objectives.
- Create and manage product roadmaps that reflect both innovation and growth strategies.
- Partner with a government product owner and a product team of 7-8 FTEs.
- Collaborate with the rest of data engineering team to design and launch new features.
- Coordinate and document dataflows, capabilities, etc.-

<>Requirements

- Active TS/SCI clearance
- Bachelor-s degree or equivalent practical experience.
- Expertise in distributed computing frameworks to handle large-scale data processing.
- Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments.
- Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL.
- Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies.
- Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka.
- Familiar with Linux/Unix server environments.
- Experience with Agile development methodology.
- Publishing and/or presenting design reports.
- Coordinating with other team members to reach project milestones and deadlines.
- Working knowledge with Collaboration tools, such as, Jira and Confluence
Desired Qualifications, Education, and Experience:
- Master-s degree or equivalent experience in a related field.
- Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
- Familiarity and experience with the Department of Homeland Security (DHS).
- Direct Experience with DHS and Intelligence Community (IC) component''s data architectures and environments (IC-GovCloud experience preferred).
- Experience with cloud message APIs and usage of push notifications.
- Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.
- Working knowledge with public keys and digital certificates.
- Experience with DevOps environments.
- Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications.
- Experience with cloud message APIs and usage of push notifications.
- Specialization in Object Oriented Programming languages, scripting, and databases.

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