Remote Data Integration Engineer Jobs
Remote Data Integration Engineer jobs are in steady demand across the U.S., with remote-first firms and distributed engineering teams actively hiring for pipeline, ETL, and data platform work 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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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 Engineer Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data integration engineer jobs.
- Proficiency in SQL and at least one ETL or ELT tool such as Informatica, Talend, or dbt
- Experience designing and maintaining data pipelines on AWS, Azure, or Google Cloud Platform
- Strong programming skills in Python, Java, or Scala for pipeline scripting and automation
- Familiarity with data orchestration tools such as Apache Airflow, Prefect, or Luigi
- Experience integrating REST or SOAP APIs and working with JSON or XML data formats
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Remote Data Integration Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data integration engineer 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 into broader job feeds.
Build a public portfolio of pipeline work
Remote employers can't watch you work, so they rely on evidence. Publish ETL workflows, data modeling projects, or API integration scripts to GitHub with clear README documentation explaining your design decisions and the problem each project solved.
Signal async communication skills in your application
Remote data integration teams run on written communication. Use your cover letter and any take-home exercises to show you can write precise technical specs, document data flows clearly, and raise blockers in a way that moves work forward without a meeting.
Target remote-first companies over hybrid postings
Remote-first companies have built their engineering workflows around distributed teams, which means clearer async processes, better tooling, and less pressure to eventually relocate. Look for companies whose entire engineering org is distributed, not just teams with one remote seat open.
Remote Data Integration Engineer Jobs: Frequently Asked Questions
How do I get a remote data integration engineer job?
Remote data integration engineer roles go to candidates who can demonstrate self-direction and clear async communication alongside strong technical skills. Remote employers screen for hands-on experience with ETL tools, cloud data platforms, and SQL, plus the ability to troubleshoot pipelines independently without an in-office team nearby. Documenting your integration projects publicly, writing clean technical specs, and showing you can communicate across time zones gives you a real edge over candidates with similar technical skills but no remote work history.
Which companies hire remote data integration engineers?
Employers currently hiring remote data integration engineers include Peraton, HomeServices of America, and Feuji, per current remote listings on Migrate Mate as of November 2026. Remote-first software companies, distributed data platform teams, and organizations in healthcare and financial services are among the most consistent hirers of this role outside a physical office.
Can you get a remote data integration engineer job with no experience?
Yes, but remote entry-level data integration roles are harder to land because employers expect you to debug pipeline failures and manage your own workflow without daily supervision. Remote-first startups and mid-size SaaS companies are the most open to junior candidates. A GitHub portfolio showing real ETL builds, data modeling work, or open-source contributions can substitute for formal experience and open doors that a resume alone won't.
Do you need a degree for remote data integration engineer jobs?
Not always. Many remote employers care more about what you can build and ship than whether you hold a formal degree. Demonstrated proficiency in tools like Spark, dbt, Airflow, or cloud data warehouses, combined with a portfolio of completed integration projects, carries significant weight. A degree in computer science or a related field helps, but candidates who can show results from real projects regularly compete on equal footing.
Which industries hire the most remote data integration engineers?
Most remote data integration engineer openings sit in Technology & Software, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams that need to move data between cloud systems, third-party APIs, and internal platforms regardless of where the engineers are located.
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