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Remote Integration Engineer Jobs in Baltimore, MD

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.

Okta Engineer

Columbia, MD · Remote

$58 - $68/hr

Okta Engineer1099 Contract through End of 2026 | Remote (U.S. only, East Coast preferred) | 3+ ... integrations, and troubleshooting from day one.Key ResponsibilitiesAutomate and manage user ...

PEAKE is a technology integrator focused on bridging the gap between people, technology, and ... Remote-based role with ~40% travel within the DMV area * Occasional in-office presence for ...

Showing results 41-60

Remote Integration Engineer information

See Baltimore, MD salary details

$44.2K

$123.5K

$172.4K

How much do remote integration engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote integration engineer in Baltimore, MD is $123,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $139,100.00 per year, depending on experience, location, and employer.

What is a remote integration engineer?

A Remote Integration Engineer is responsible for connecting software systems, APIs, and databases to ensure seamless data flow and functionality across platforms. They work remotely to develop, troubleshoot, and maintain integrations between different applications, often using cloud-based services. Their role requires expertise in programming, APIs, and system architecture to optimize automation and interoperability. Additionally, they collaborate with development teams, product managers, and clients to meet business needs.

What does a remote integration engineer do?

A Remote Integration Engineer typically spends their days designing, developing, and maintaining integrations between different software systems and platforms. This often involves working with APIs, troubleshooting data transfer issues, and collaborating with other engineering or client teams to understand technical requirements. Additionally, you may participate in remote meetings, document integration processes, and provide support during deployments. The role requires balancing independent hands-on technical tasks with regular communication to ensure solutions align with business needs and project goals.

What are the key skills and qualifications needed to thrive as a remote integration engineer?

To excel as a Remote Integration Engineer, you need strong problem-solving skills, experience with API integration, and a solid background in computer science or a related field. Familiarity with integration platforms (like MuleSoft or Dell Boomi), scripting languages (such as Python or JavaScript), and certifications in cloud technologies or specific integration tools are highly valued. Excellent remote communication, time management, and collaboration skills help you coordinate effectively with distributed teams and clients. These skills are vital for delivering seamless, reliable integration solutions across different systems while working independently in a remote environment.

What job categories do people searching Remote Integration Engineer jobs in Baltimore, MD look for?

The top searched job categories for Remote Integration Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Integration Engineer jobs?

Cities near Baltimore, MD with the most Remote Integration Engineer job openings:

Infographic showing various Remote Integration Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $123,484 per year, or $59.4 per hour.

Lead Data Engineer

T Rowe Price

Baltimore, MD • On-site, Remote

$113K - $136K/yr

Full-time

Re-posted 11 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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