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Remote Data Entry Analyst Jobs in Baltimore, MD (NOW HIRING)

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs. * Implement data quality and validation checks and ...

Project Management Analyst

Baltimore, MD · On-site +1

$50K - $70K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Manage project administration, including company licenses, CRM data entry and maintenance, RFI and ... remote/hybrid work options Paid parental leave Team lunches, events, and stocked kitchens Modern ...

Project Management Analyst

Baltimore, MD · On-site +1

$50K - $70K/yr

Manage project administration, including company licenses, CRM data entry and maintenance, RFI and ... Flexible remote/hybrid work options · Paid parental leave · Team lunches, events, and stocked ...

Data Modeler

Baltimore, MD · On-site +1

$54.50 - $70.50/hr

Hello Folks, Please find the below requirement and let me know your interest? 100% Remote W2 Role ... analytics systems. * Experience implementing and maintaining data modeling standards, best ...

Data Scientist

Fort George G Meade, MD · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0234832 Location: Fort Meade,MD,US Share job via: Share Data Scientist ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Showing results 21-40

Remote Data Entry Analyst information

See Baltimore, MD salary details

$13

$32

$61

How much do remote data entry analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote data entry analyst in Baltimore, MD is $32.72, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $36.54 per hour, depending on experience, location, and employer.

Are any remote data entry analyst jobs legit?

Remote data entry analyst jobs are legitimate positions that involve inputting and managing data remotely, often requiring skills in data management tools like Excel or database software. However, job seekers should verify the employer's credibility and be cautious of scams that request upfront payments or personal information.

What is a remote data entry analyst?

A Remote Data Entry Analyst is responsible for inputting, updating, and managing data in digital systems while working from a remote location. They ensure accuracy, consistency, and completeness of data, often using spreadsheets, databases, or specialized software. This role requires strong attention to detail, typing proficiency, and the ability to follow data management procedures. Analysts may work with financial, healthcare, customer, or product-related data, depending on the employer. Effective communication and time management skills are essential for meeting deadlines and ensuring data integrity.

What are some typical challenges faced by remote data entry analysts, and how can they be managed?

Remote Data Entry Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and staying connected with team members from a distance. To overcome these, it's important to establish a structured work schedule, take regular short breaks to maintain productivity, and leverage collaboration tools like Slack, Zoom, or project management platforms to stay in sync with colleagues. Setting clear daily or weekly goals can also help keep you motivated and on track. Proactively reaching out for feedback and assistance ensures that you remain integrated with your team and can resolve any issues promptly.

What are the key skills and qualifications needed to thrive as a remote data entry analyst?

To thrive as a Remote Data Entry Analyst, you need exceptional attention to detail, fast and accurate typing skills, and a solid grasp of data management concepts, often demonstrated by a high school diploma or equivalent. Proficiency with data entry software such as Microsoft Excel, Google Sheets, and enterprise databases (like Salesforce or SAP) is commonly required, and knowledge of basic data security protocols is beneficial. Strong self-motivation, time management, and clear written communication set standout candidates apart in remote settings. These abilities ensure that data is accurately processed, deadlines are consistently met, and communication remains seamless despite working remotely.

What job categories do people searching Remote Data Entry Analyst jobs in Baltimore, MD look for?

The top searched job categories for Remote Data Entry Analyst jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Data Entry Analyst jobs?

Cities near Baltimore, MD with the most Remote Data Entry Analyst job openings:

Infographic showing various Remote Data Entry Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $68,052 per year, or $32.7 per hour.

Data Engineer (Remote)

Magpie Health Analytics

Baltimore, MD • Remote

$117K - $140K/yr

Full-time

Posted 19 days ago


Job description

Position Purpose:

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our commercial and government healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasetsenabling downstream analytics, application logic, and system modernization initiatives.

Primary Duties & Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from relational databases, flat files, APIs, and cloud data sources.
  • Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs.
  • Design and optimize data schemas to ensure performance, integrity, and compatibility with reporting requirements.
  • Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools.
  • Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs.
  • Implement data quality and validation checks and document data lineage and pipeline logic for audit and reuse.
  • Troubleshoot performance issues in data jobs and support data pipeline operations across environments (DEV, VAL, PROD).
  • Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services.
  • Assist in developing or maintaining data documentation, including metadata, data dictionaries, and technical user guides.
  • Stay up to date with emerging technologies, techniques, and trends to inform product development and decision-making.

Minimum Qualifications:

  • Bachelor's degree in computer science, engineering, statistics, or related field.
  • 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role.
  • Strong proficiency in SQL, data transformation logic, and performance tuning for large datasets.
  • Proficiency with Python and libraries such as Pandas, PySpark, or Numpy.
  • Experience with modern version control and CI/CD practices (e.g., GitHub Actions, Jenkins).
  • Understanding of distributed computing solutions for data processing (e.g. AWS Glue, AWS EMR, Apache Hadoop, Apache Spark)
  • Experience with data pipeline orchestration frameworks or serverless tools (e.g., AWS StepFunctions, AWS Glue Workflows, and/or AWS Lambda).

Preferred Qualifications:

  • Experience developing solutions in AWS cloud environments (S3, Lambda, Aurora, SNS, CloudFormation/CDK).
  • Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses.
  • Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture.
  • Experience supporting healthcare data systems or CMS data environments
  • AWS certifications are a plus.