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Remote Data Jobs in Baltimore, MD (NOW HIRING)

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

CareFirst

Data Associate Engineer (Remote)

Baltimore, MD · Remote

$113K - $136K/yr

Understands data needs and advise company on technological resources. Partners with senior level team members to aggregate and analyze various data sets to provide actionable insight. Develop reports ...

T Rowe Price

Lead Android Engineer

Owings Mills, MD · Remote

Experiencedworking with remote data via REST and JSON * Demonstrated experience in writing multi-threaded and networked applications * Familiarity with third-party libraries and APIs * Solid ...

Booz Allen Hamilton, Inc.

Data Architect

Columbia, MD · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0244044 Location: Columbia,MD,US Share job via: Share Data Architect The Opportunity: For an organization to transform in today's digital world, it needs to properly ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Rowe Price is seeking an experienced Lead Data Engineer to guide the development and deployment of ... Work Flexibility This role is eligible for full time remote work.

CareFirst

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premises infrastructure targeting big data and platform data management (Relational and NoSQL ...

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Remote Data information

See Baltimore, MD salary details

$45.7K

$164K

$241.9K

How much do remote data jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote data in Baltimore, MD is $163,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $168,900.00 per year, depending on experience, location, and employer.

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.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

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. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

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.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

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 most commonly searched types of Data jobs in Baltimore, MD? The most popular types of Data jobs in Baltimore, MD are:
What are popular job titles related to Remote Data jobs in Baltimore, MD? For Remote Data jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Baltimore, MD look for? The top searched job categories for Remote Data jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Data jobs? Cities near Baltimore, MD with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Baltimore, MD as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $163,968 per year, or $78.8 per hour.

Data Technician (Remote)

Tactibit Technologies LLC

Silver Spring, MD • Remote

Full-time

Posted 26 days ago

Job description

Tactibit Technologies provides innovative information technology, cybersecurity, and cloud support services to the Federal Government. We support some of the nation's most critical and demanding projects including satellite operations, critical infrastructure, and search and rescue. We are a diverse team of hands-on professionals dedicated to solving problems and developing innovative solutions in support of our customers' critical missions. Our success is dependent on our inclusive, collaborative environment with a shared commitment to excellence in everything we do.


About the Data Technician position

We are looking for a talented Data Technician to join our team remotely. You will support mission-critical systems that receive, process, disseminate, and store petabytes of environmental and scientific data collected from Earth orbiting satellites daily. You will collect, review, and input data into a computer processing system and review/audit output data. You should have a deep understanding of enterprise and/or scientific data sets and experience managing large-scale data.

Data Technician responsibilities are:
  • Research, design, deploy, and document new data management tools and techniques
  • Manage large-scale data sets from modern ground systems and applications
  • Support data management processing including data migration, backup, and recovery
  • Provide reporting metrics to management and customers
  • Assist with troubleshooting issues
  • Work with cross-functional teams to ensure sound data management practices throughout the software development lifecycle
Data Technician requirements are:
  • 8+ years of enterprise data management experience
  • Experience with GIS data
  • Strong understanding of data management processes and technologies
  • Experience using scripting languages such as Perl, Python, Java, PowerShell, Ruby, etc.
  • Strong analytical skills and ability to work under pressure
  • Must be able to pass a full background investigation and obtain a security badge to enter the applicable government facility
Desired Qualifications are:
  • Experience working with AWS services or AWS cloud certification(s) are a plus
  • Experience in high-performance computing, machine learning, artificial intelligence applications and frameworks in a cloud environment
  • Familiarity with environmental or scientific data processing
  • Familiarity with modern agile software development principles, practices, methods, and tools
  • Experience with version control systems (preferably Git) and issue tracking software (preferably Jira)
  • BS/BA degree in Computer Science, Engineering, or a related field preferred, but not required
  • Industry certifications such as AWS certifications