Remote Data Integration Manager Jobs
Remote Data Integration Manager jobs are open across the U.S. at remote-first firms and distributed teams in sectors like software, healthcare, and financial services. Employers hiring remotely right now include Peraton, HomeServices of America, and Feuji. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 32+ Remote Data Integration Manager jobs
Summary/Function:
The Data Integration Engineer is responsible for designing, developing, supporting, and optimizing enterprise data integration solutions that enable the movement, transformation, and delivery of data across business systems. This role contributes to the development of scalable data pipelines, ETL/ELT processes, API integrations, and data services that support operational, regulatory, and analytical workloads within a financial services environment.
- 3-5 years of experience in Data Engineering, Data Integration, or ETL development.
- Experience working in financial services, banking, wealth management, brokerage, insurance, or other regulated industries preferred.
- Experience supporting production data integration environments.
- Experience with Microsoft cloud-based technologies in a hybrid architecture
- Experience with cloud services (Microsoft Azure, AWS); MCSE/MCSA certifications preferred.
- Advanced working TSQL knowledge and experience working with relational databases, query authoring, stored procedure development, end-to-end data pipeline development
- Experience with ETL/ELT platforms such as:
o Azure Data Factory
o Microsoft Fabric Data Pipelines
- Experience with API and file-based integrations.
- Experience with relational database platforms, preferably Microsoft SQL Server.
- Experience with scripting languages such as Python, PowerShell, DiamondPlate.
- Experience with orchestration platforms such as ActiveBatch or equivalent scheduling tools.
- Familiarity with Git, CI/CD, DevOps, and DataOps practices.
- Understanding of dimensional modeling, data warehousing, and data governance principles.
- Knowledge of database security, backup and recovery, and performance monitoring standards
- Familiar with Agile work principles.
- Satisfactory written and oral communication skills.
- Understanding of software and database development life cycle concepts.
- Awareness of information sensitivity regulations and best-practices regarding data security and confidentiality.
- Specific skills include:
o Experience with Microsoft Fabric: pipelines, notebooks, Lakehouse/Warehouse concepts, and Medalion architecture
o Experience using orchestration tools such as: ActiveBatch
o Experience with web services and API integrations
o Experience with Agile, DevOps and DataOps methods and technologies: Source Code Control, Versioning, Test Automation, Continuous Integration, Automated Deployment, Recoverability, Telemetry, etc.
o Experience working with vendors and 3rd party data integrations.
Data Integration & Engineering
- Design, develop, test, deploy, and support ETL/ELT processes and data integration solutions.
- Build and maintain data pipelines that ingest information from internal applications, vendors, APIs, and third-party financial systems.
- Develop reusable integration frameworks and patterns to improve scalability and maintainability.
- Support batch, near real-time, and event-driven data integration architectures.
- Troubleshoot and resolve data flow, performance, and reliability issues.
- Implement controls to ensure data accuracy, completeness, and consistency.
- Support data lineage, metadata management, and data governance initiatives.
- Participate in regulatory and audit-related data validation efforts.
- Assist in developing standards for secure and compliant data movement.
- Monitor production workflows and respond to operational issues.
- Tune SQL queries, integration jobs, and data pipelines for performance.
- Participate in release, deployment, and change management processes.
- Maintain documentation for integration processes, data mappings, and technical designs.
- Work with business users to gather and interpret data requirements.
- Partner with data architects and senior engineers on enterprise data initiatives.
- Support analysts and reporting teams by delivering reliable and well-structured datasets.
- Participate in Agile planning, code reviews, testing, and continuous improvement activities.
Competitive salary plus excellent benefits and perks including, but not limited to:
- Medical, Dental and Vision
- Company 401(k)and ESOP contribution
- Generous sick, vacation, and maternity/parental leave
- Paid holidays
- Professional Development Opportunities
- Tuition Reimbursement ($15,000 lifetime cap)
- Discounted personal insurance including home, auto and recreational vehicles
- Charitable gift-matching program
- Davidson Day of Giving – Our tradition of positively impacting communities in which we live and work.
The potential base pay hiring range for this role is $73,500 to $105,600 yearly. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate.
D.A. Davidson has been in business for 90 years! As an employee-owned company, our success is driven by our high standards of business ethics, integrity and the belief that our Associates are our most important assets. We hope you will consider joining us!
Summary/Function:
The Data Integration Engineer is responsible for designing, developing, supporting, and optimizing enterprise data integration solutions that enable the movement, transformation, and delivery of data across business systems. This role contributes to the development of scalable data pipelines, ETL/ELT processes, API integrations, and data services that support operational, regulatory, and analytical workloads within a financial services environment.
- 3-5 years of experience in Data Engineering, Data Integration, or ETL development.
- Experience working in financial services, banking, wealth management, brokerage, insurance, or other regulated industries preferred.
- Experience supporting production data integration environments.
- Experience with Microsoft cloud-based technologies in a hybrid architecture
- Experience with cloud services (Microsoft Azure, AWS); MCSE/MCSA certifications preferred.
- Advanced working TSQL knowledge and experience working with relational databases, query authoring, stored procedure development, end-to-end data pipeline development
- Experience with ETL/ELT platforms such as:
o Azure Data Factory
o Microsoft Fabric Data Pipelines
- Experience with API and file-based integrations.
- Experience with relational database platforms, preferably Microsoft SQL Server.
- Experience with scripting languages such as Python, PowerShell, DiamondPlate.
- Experience with orchestration platforms such as ActiveBatch or equivalent scheduling tools.
- Familiarity with Git, CI/CD, DevOps, and DataOps practices.
- Understanding of dimensional modeling, data warehousing, and data governance principles.
- Knowledge of database security, backup and recovery, and performance monitoring standards
- Familiar with Agile work principles.
- Satisfactory written and oral communication skills.
- Understanding of software and database development life cycle concepts.
- Awareness of information sensitivity regulations and best-practices regarding data security and confidentiality.
- Specific skills include:
o Experience with Microsoft Fabric: pipelines, notebooks, Lakehouse/Warehouse concepts, and Medalion architecture
o Experience using orchestration tools such as: ActiveBatch
o Experience with web services and API integrations
o Experience with Agile, DevOps and DataOps methods and technologies: Source Code Control, Versioning, Test Automation, Continuous Integration, Automated Deployment, Recoverability, Telemetry, etc.
o Experience working with vendors and 3rd party data integrations.
Data Integration & Engineering
- Design, develop, test, deploy, and support ETL/ELT processes and data integration solutions.
- Build and maintain data pipelines that ingest information from internal applications, vendors, APIs, and third-party financial systems.
- Develop reusable integration frameworks and patterns to improve scalability and maintainability.
- Support batch, near real-time, and event-driven data integration architectures.
- Troubleshoot and resolve data flow, performance, and reliability issues.
- Implement controls to ensure data accuracy, completeness, and consistency.
- Support data lineage, metadata management, and data governance initiatives.
- Participate in regulatory and audit-related data validation efforts.
- Assist in developing standards for secure and compliant data movement.
- Monitor production workflows and respond to operational issues.
- Tune SQL queries, integration jobs, and data pipelines for performance.
- Participate in release, deployment, and change management processes.
- Maintain documentation for integration processes, data mappings, and technical designs.
- Work with business users to gather and interpret data requirements.
- Partner with data architects and senior engineers on enterprise data initiatives.
- Support analysts and reporting teams by delivering reliable and well-structured datasets.
- Participate in Agile planning, code reviews, testing, and continuous improvement activities.
Competitive salary plus excellent benefits and perks including, but not limited to:
- Medical, Dental and Vision
- Company 401(k)and ESOP contribution
- Generous sick, vacation, and maternity/parental leave
- Paid holidays
- Professional Development Opportunities
- Tuition Reimbursement ($15,000 lifetime cap)
- Discounted personal insurance including home, auto and recreational vehicles
- Charitable gift-matching program
- Davidson Day of Giving – Our tradition of positively impacting communities in which we live and work.
The potential base pay hiring range for this role is $73,500 to $105,600 yearly. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate.
D.A. Davidson has been in business for 90 years! As an employee-owned company, our success is driven by our high standards of business ethics, integrity and the belief that our Associates are our most important assets. We hope you will consider joining us!
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Find JobsRemote Data Integration Manager Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data integration manager jobs.
- Five or more years of experience designing and implementing ETL or ELT data pipelines
- Proficiency with integration platforms such as Informatica, Talend, MuleSoft, or Azure Data Factory
- Strong SQL skills and experience working with relational and cloud-based data warehouses
- Experience integrating APIs and managing connections across SaaS and on-premise systems
- Bachelor's degree in computer science, information systems, or a related technical field
- Familiarity with data governance practices, lineage documentation, and integration testing frameworks
Tips for Your Remote Data Integration Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data integration manager openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sifting through non-remote listings mixed in.
Show async collaboration in your portfolio
Remote employers want proof you can work without real-time hand-holding. Document integration projects with written specs, Confluence or Notion pages, or recorded walkthrough videos that demonstrate how you communicate technical decisions in writing across distributed teams.
Highlight cross-system integration work concretely
Remote hiring managers move fast. Lead your resume and cover letter with specific integrations you've built, the systems connected, and the tools used, like Talend, Informatica, MuleSoft, or dbt, so the technical fit is clear without a call.
Prepare for async technical screens
Many remote-first companies use take-home technical assessments instead of live coding rounds for data integration roles. Practice mapping data schemas, writing transformation logic, and documenting your approach clearly, since your written explanation carries as much weight as the solution itself.
Remote Data Integration Manager Jobs: Frequently Asked Questions
How do I get a remote data integration manager job?
Target remote-first technology companies, healthcare platforms, and financial services firms that run distributed data teams, since these employers hire data integration managers remotely most often. Remote employers screen heavily for self-direction, clear written communication, and hands-on experience with ETL pipelines, API integrations, and tools like Informatica, Talend, or dbt. Candidates who can show documented integration work, prior async collaboration, and independent project delivery stand out.
Which companies hire remote data integration managers?
Employers currently hiring remote data integration managers include Peraton, HomeServices of America, and Feuji, per current remote listings on Migrate Mate as of November 2026. These tend to be remote-first software companies, distributed healthcare technology platforms, and financial services organizations that rely on cross-system data pipelines managed by geographically distributed teams.
Can you get a remote data integration manager job with no experience?
Yes, but remote entry roles in data integration management are harder to land because you're expected to troubleshoot pipelines and make technical decisions independently from day one. Smaller remote-first SaaS companies and startups are the most likely to consider candidates early in their careers. Showing a personal or open-source integration project, familiarity with at least one ETL tool, and clear written communication skills helps open the door.
Do you need a degree for remote data integration manager jobs?
Not always. Many remote employers care more about demonstrated integration skills, delivered projects, and tool proficiency than a specific degree. A background in computer science, information systems, or a related field helps, but candidates who can show working ETL pipelines, data mapping experience, and cross-team collaboration in async environments regularly get hired without a four-year degree.
Which industries hire the most remote data integration managers?
The sectors hiring the most remote data integration managers are Technology & Software, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed teams that connect multiple data sources across cloud environments, making remote data integration managers a consistent hiring need.
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