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Remote Data Jobs in Nottingham, MD (NOW HIRING)

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.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243265 Location: Belcamp,MD,US Share job via: Share Additional Locations: * Aberdeen Proving Ground, Maryland, USA Data Engineer The Opportunity: Ever-expanding ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241931 Location: Belcamp,MD,US Share job via: Share Additional Locations: * Aberdeen Proving Ground, Maryland, USA Data Engineer The Opportunity: Ever-expanding ...

Sr. Data Steward

Baltimore, MD · On-site +1

$75K - $100K/yr

Maintain master and reference data in the Master Data Management (MDM) and ERP systems ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $75,000.00-$100,000.00 USD ...

Sr. Data Steward

Baltimore, MD · On-site +1

$75K - $100K/yr

Maintain master and reference data in the Master Data Management (MDM) and ERP systems ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $75,000.00-$100,000.00 USD ...

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

The primary purpose of a Senior Data Engineer in Production Support is to maintain the seamless operation of data pipelines, databases, and analytics platforms in live environments. This includes ...

Showing results 21-40

Remote Data information

See Nottingham, MD salary details

$45.8K

$164.2K

$242.3K

How much do remote data jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data in Nottingham, MD is $164,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,900.00 and $169,200.00 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 popular job titles related to Remote Data jobs in Nottingham, MD?

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

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

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

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

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

Lead Data Engineer

T Rowe Price

Baltimore, MD • On-site, Remote

$113K - $136K/yr

Full-time

Re-posted 20 days ago


T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Role Summary
T. Rowe Price is seeking an experienced Lead Data Engineer to guide the development and deployment of Enterprise data solutions that drives transformation enabling new business capabilities driving growth, tangible operational efficiency, and superior client experiences. The successful candidate will be a hands-on leader with deep technical skills, who can drive best practices and innovation in a collaborative, purpose-driven environment.

Responsibilities

  • Lead the design, development, and maintenance of Enterprise data platform and solutions, analytics capabilities including modernizing data supply chain, integrating advanced data governance capabilities and data distribution patterns.
  • Collaborate with data engineers, business partners, product owners, and other stakeholders to understand business requirements and develop them into robust enterprise data solutions.
  • Modernize legacy ETL capability to data supply chain solution integrating with Enterprise data platform to provide scalability.
  • Modernize legacy data quality, data governance capabilities to innovative enterprise capabilities that can scale.
  • Champion data governance, security, and regulatory compliance, ensuring alignment with T. Rowe Price's standards and industry best practices.
  • Mentor and develop junior engineers, fostering a culture of innovation, diversity, and continuous improvement.
  • Lead offshore team effectively to ensure delivery success aligning to business & strategic objectives.
  • Evaluate and implement emerging technologies, frameworks, and tools to advance T. Rowe Price's data and AI capabilities.
  • Troubleshoot and optimize data solutions and platform performance, ensuring scalability and resilience.
  • Document system architectures, processes, and best practices for technical and non-technical stakeholders.

Qualifications

Required:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
  • 8+ years of professional experience in data engineering, AI, or machine learning roles.
  • Strong proficiency in Snowflake tech, DBT, Airflow, Python, Java.
  • Experience with cloud data platforms (AWS, Snowflake), preferably within a regulated industry.
  • Solid understanding of Agile methodologies and DevOps practices.
  • Excellent communication, collaboration, and leadership skills.
  • Knowledge of data privacy, compliance (e.g., GDPR), and industry regulations relevant to financial services.
  • Experience in the asset management or financial services industry.
  • Familiarity with CI/CD pipelines, and model lifecycle management.

Preferred:

  • Industry certifications in cloud or data engineering technologies.
  • Knowledge of data privacy, compliance (e.g., GDPR), and industry regulations relevant to financial services.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for full time remote work.


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