Remote Data Integration Specialist Jobs
Remote Data Integration Specialist jobs are open across the U.S. at remote-first companies and distributed teams in sectors like software, healthcare, and financial services. Employers hiring remotely right now include Peraton, HomeServices of America, and Feuji. See the openings below and apply to the ones that match your experience.
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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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Who's Hiring



Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data integration specialist jobs.
- Hands-on experience with ETL tools such as Informatica, Talend, SSIS, or Apache NiFi
- Proficiency in SQL and ability to write complex queries for data transformation and validation
- Experience integrating data across cloud platforms including AWS, Azure, or Google Cloud
- Familiarity with API-based integrations using REST or SOAP protocols
- Bachelor's degree in computer science, information systems, or a related technical field
- Knowledge of data warehousing concepts and platforms such as Snowflake, Redshift, or BigQuery
Tips for Your Remote Data Integration Specialist Job Search
Show async collaboration skills upfront
Remote data integration teams run on written communication. Document a past pipeline project end-to-end, explaining your design decisions in plain language. This signals to hiring managers that you can work across time zones without constant hand-holding.
Apply early to remote roles that fit
Migrate Mate lists remote data integration specialist openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sifting through location-based noise.
Highlight distributed tooling in your materials
Remote employers specifically look for experience with cloud-native integration tools like AWS Glue, Azure Data Factory, Fivetran, or Airbyte. Name the tools you've used in production contexts, not just tutorials, so your profile reads as ready to contribute remotely from day one.
Prepare for remote-first technical interviews
Remote data integration interviews often include a take-home design exercise or a live coding screen over video. Practice walking through your data modeling and pipeline architecture decisions out loud, clearly and without whiteboard support, to show you can communicate technical reasoning in a remote setting.
Remote Data Integration Specialist Jobs: Frequently Asked Questions
How do I get a remote data integration specialist job?
Target remote-first companies and distributed engineering teams, since they hire data integration specialists without requiring office presence. Remote employers screen heavily for async written communication, self-direction, and hands-on proficiency with tools like Apache Kafka, Talend, Informatica, or dbt. A portfolio showing real pipeline builds, data quality work, or ETL projects gives you a clear edge over candidates who can only point to job titles.
Which companies hire remote data integration specialists?
Companies hiring remote data integration specialists right now include Peraton, HomeServices of America, and Feuji, based on current remote listings on Migrate Mate as of November 2026. Most are remote-first technology firms, distributed SaaS teams, and financial services companies that run data infrastructure across multiple time zones and need integration work done without a central office.
Can you get a remote data integration specialist job with no experience?
Yes, but remote entry-level data integration roles are harder to land because employers expect you to troubleshoot pipelines independently from day one. Your strongest path in is building projects that demonstrate ETL design or API integration skills, targeting smaller remote-first startups that move faster on hiring, and showing written communication ability that signals you can collaborate clearly without face-to-face support.
Do you need a degree for remote data integration specialist jobs?
Not always. Remote employers increasingly weigh demonstrated skills over credentials, particularly for data integration work where a portfolio of pipeline builds, transformation logic, or integration architecture carries real weight. A degree in computer science or information systems helps at larger companies, but certifications in cloud platforms and hands-on project work can substitute at many remote-first and mid-market employers.
Which industries hire the most remote data integration specialists?
Most remote data integration specialist openings sit in Technology & Software, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams managing data flows across multiple systems, cloud environments, and third-party platforms, making fully remote data integration work a natural fit for how they operate.
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