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Data Processor Jobs in Baltimore, MD (NOW HIRING)

eSimplicity

Data Engineer III

Columbia, MD · On-site

$113K - $127K/yr

Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. * Assemble large, complex sets of data that meet non-functional ...

eSimplicity Inc

Data Engineer III

Columbia, MD

$112K - $135K/yr

Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. * Assemble large, complex sets of data that meet non-functional ...

eSimplicity

Data Engineer III

Columbia, MD · On-site

$113K - $127K/yr

Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. * Assemble large, complex sets of data that meet non-functional ...

GIGATEC Engineering

Big Data Architect

Annapolis Junction, MD · On-site

$65.25 - $83.75/hr

... processes • Recent software development experience using Python and Java • Experience using ... Big Data processing engines including Apache Spark • Experience with containerization ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). * Modeling, Inference, and Prediction: (Data modeling and assessment, domain ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$157K - $215K/yr

Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). * Modeling, Inference, and Prediction: (Data modeling and assessment, domain ...

Gigatec Engineering

Big Data Architect

Annapolis, MD · On-site

$190K - $235K/yr

You'll get to collaborate with data engineers, platform teams, and stakeholders to ensure workflows ... Experience developing Bash scripts to automate manual processes * Recent software development ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). * Modeling, Inference, and Prediction: (Data modeling and assessment, domain ...

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All JobsData Processor JobsData Processor Jobs in Baltimore, MD

Data Processor information

See Baltimore, MD salary details

$12

$20

$34

How much do data processor jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for data processor in Baltimore, MD is $20.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $22.21 per hour, depending on experience, location, and employer.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by Data Processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What Is a Data Processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

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

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.
More about Data Processor jobs
What are popular job titles related to Data Processor jobs in Baltimore, MD? For Data Processor jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Baltimore, MD look for? The top searched job categories for Data Processor jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Processor jobs? Cities near Baltimore, MD with the most Data Processor job openings:
Data Processor jobs near you
Data Engineer III

Data Engineer III

eSimplicity

Columbia, MD • On-site

$113K - $127K/yr

Full-time

Posted 18 days ago

Job description

Job Type
Full-time
Description
About Us:
eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow.
Responsibilities:
  • Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
  • Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects.
  • Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.;
  • Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations.
  • Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality.
  • Assemble large, complex sets of data that meet non-functional and functional business requirements
  • Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
  • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition?
  • Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues
  • Write unit and integration tests for all data processing code.
  • Work with DevOps engineers on CI, CD, and IaC.
  • Read specs and translate them into code and design documents.
  • Perform code reviews and develop processes for improving code quality.
  • Perform other duties as assigned.

Requirements
Required Qualifications:
  • All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation.
  • Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required.
  • OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience.
  • Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
  • Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products.
  • Experienced in designing data architecture for shared services, scalability, and performance
  • Experienced in designing data services including API, meta data, and data catalogue.
  • Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users.
  • Ability to build and optimize data sets, 'big data' data pipelines and architectures?
  • Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions?
  • Excellent analytic skills associated with working on unstructured datasets?
  • Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
  • Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.?
  • Flexible and willing to accept a change in priorities as necessary.
  • Ability to work in a fast-paced, team-oriented environment
  • Experience with Agile methodology, using test-driven development.
  • Experience with GitHub and Atlassian Jira/Confluence.
  • Excellent command of written and spoken English.

Desired Qualifications:
  • Federal Government contracting work experience.
  • Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera
  • Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience
  • Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data.

Working Environment:
eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager.
Occasional travel for training and project meetings. It is estimated to be less than 5% per year.
Benefits:
We offer highly competitive salaries and full healthcare benefits.
Equal Employment Opportunity:
eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
Salary Description
$113,200 - $127,900

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