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Remote Data Jobs in Lanham, MD (NOW HIRING)

Data Engineer (Remote)

Baltimore, MD ยท Remote

$117K - $140K/yr

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 ...

Senior Solutions Architect

Arlington, VA ยท On-site +1

$15K - $165K/yr

Provide secure and stable methods for the remote diagnosis and resolution of maintenance issues affecting remote data collection points. * Develop and document architecture strategies and technology ...

Data Scientist

Arlington, VA ยท On-site

$75K - $127K/yr

... Remote Type Hybrid Time Type Full time Description & Requirements Elevate your career with MANTECH ... Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ...

Data & AI Engineer - 90408785 - Remote

Washington, DC ยท On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data & AI Engineer - 90408785 - Remote

Washington, DC ยท On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data & AI Engineer - 90408785 - Remote

Washington, DC ยท On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data & AI Engineer - 90408785 - Remote

Washington, DC ยท On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data Scientist

Alexandria, VA ยท On-site

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Data Scientist

Alexandria, VA ยท On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Data Modeler

Baltimore, MD ยท 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 * More than 10 Years of Data Modeling Experience with experience on ERWIN tool. * MUST HAVE HAD ...

The main purpose of a data analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better ...

Showing results 21-40

Remote Data information

See Lanham, MD salary details

$46K

$165.2K

$243.7K

How much do remote data jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data in Lanham, MD is $165,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,600.00 and $170,100.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

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

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

What are popular job titles related to Remote Data jobs in Lanham, MD?

For Remote Data jobs in Lanham, MD, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Remote Data job openings in Lanham, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,155 per year, or $79.4 per hour.

Data Engineer (Remote)

Magpie Health Analytics

Baltimore, MD โ€ข Remote

$117K - $140K/yr

Full-time

Re-posted 8 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.