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Data Integration Remote Jobs in Baltimore, MD (NOW HIRING)

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Modernize legacy ETL capability to data supply chain solution integrating with Enterprise data ... Work Flexibility This role is eligible for full time remote work.

Elder Research

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

Meade Posting Date 07/24/2026 Security Clearance Required - TS/SCI + Poly Remote Type N/A Time Type ... Conduct assessments of clients' preparedness to integrate data analytics into their operations ...

Elder Research

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

Meade Posting Date 07/24/2026 Security Clearance Required - TS/SCI + Poly Remote Type N/A Time Type ... Conduct assessments of clients' preparedness to integrate data analytics into their operations ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

Background integrating LLM services with large-scale analytics environments (e.g., Databricks ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

Background integrating LLM services with large-scale analytics environments (e.g., Databricks ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

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All JobsData Integration JobsData Integration Remote JobsData Integration Remote Jobs in Baltimore, MD

Data Integration Remote information

See Baltimore, MD salary details

$10

$51

$83

How much do data integration remote jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data integration remote in Baltimore, MD is $51.35, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $57.79 per hour, depending on experience, location, and employer.

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

AspectData Integration RemoteData Analyst Remote
Required SkillsData mapping, ETL tools, database managementData visualization, statistical analysis, SQL
CertificationsETL, data management certificationsGoogle Data Analytics, Microsoft Excel certifications
Work EnvironmentPrimarily technical, working with databases and data pipelinesAnalytical, reporting-focused, using visualization tools
Industry UsageData engineering, integration projectsBusiness intelligence, reporting, insights

While both roles involve working with data remotely, Data Integration Remote focuses on connecting and managing data sources through ETL processes and database management. Data Analyst Remote emphasizes analyzing data, creating reports, and visualizations to support business decisions. Understanding these differences helps job seekers target roles aligned with their skills and career goals.

What are the most commonly searched types of Data Integration jobs in Baltimore, MD? The most popular types of Data Integration jobs in Baltimore, MD are:
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What cities near Baltimore, MD are hiring for Data Integration Remote jobs? Cities near Baltimore, MD with the most Data Integration Remote job openings:
Data Integration Remote jobs near you

Lead Data Engineer

T Rowe Price

Baltimore, MD • On-site, Remote

$113K - $136K/yr

Other

Re-posted 4 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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