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Remote Data Entry Analyst Jobs in Nottingham, MD

Magpie Health Analytics

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 ...

Solar Landscape

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 ...

Solar Landscape

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 ...

Polar IT Services

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 ...

Booz Allen Hamilton, Inc.

Data Architect

Columbia, MD · On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244044 Location: Columbia,MD,US Share job via: Share Data Architect ... Analyze information to determine, recommend, and plan the development of a new application or ...

Booz Allen Hamilton, Inc.

Data Engineer

Fort George G Meade, MD · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244467 Location: Fort Meade,MD,US Share job via: Share Data Engineer ... Given the expansion of big data analytics, new challenges are emerging for the integration of data ...

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All JobsData Entry Analyst JobsRemote Data Entry Analyst JobsRemote Data Entry Analyst Jobs in Nottingham, MD

Remote Data Entry Analyst information

See Nottingham, MD salary details

$13

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

As of Aug 19, 2026, the average hourly pay for remote data entry analyst in Nottingham, MD is $32.77, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $36.59 per hour, depending on experience, location, and employer.

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 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 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.

Are any remote data entry analyst jobs legit?

Remote data entry analyst jobs are legitimate opportunities that typically involve inputting and managing data using software tools like spreadsheets and databases. However, job seekers should verify the employer's credibility, avoid positions that require upfront payments, and be cautious of scams promising high pay for minimal work.

What are popular job titles related to Remote Data Entry Analyst jobs in Nottingham, MD?

For Remote Data Entry Analyst jobs in Nottingham, MD, the most frequently searched job titles are:

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

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

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

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

Remote Data Entry Analyst jobs near you
Infographic showing various Remote Data Entry Analyst job openings in Nottingham, MD as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $68,164 per year, or $32.8 per hour.

Data Engineer (Remote)

Magpie Health Analytics

Baltimore, MD • Remote

$117K - $140K/yr

Full-time

Posted 22 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.