Senior Level Data Integration Specialist Jobs
Senior level data integration specialist jobs put experienced professionals in charge of integration architecture, cross-system data strategy, and the engineering teams and pipelines that deliver on those decisions. Openings are concentrated in Technology & Software, Staffing & Recruiting, and Banking & Financial Services, with a strong mix of remote and on-site positions, and employers like KBR, Apex IT, and Algoworks hiring at this level now.
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Showing 5 of 8+ Senior Level Data Integration Specialist jobs
Role overview
We are looking for a Senior Data Integration Engineer to design, implement, and operate reliable integrations between a cloud data platform and an established data-processing application. The role will focus on building production-grade integration solutions, ensuring data consistency, compatibility, traceability and seamless processing across multiple services.
Key responsibilities:
- Design and implement source-to-application integrations, adapters and data transformation workflows.
- Develop and maintain batch and change-data processing pipelines using Python and SQL.
- Work with APIs, XML/JSON and integration services to enable reliable data exchange.
- Ensure record identity, data consistency and compatibility with existing applications.
- Implement robust logging, monitoring, retries, error handling and replay mechanisms.
- Develop automated tests and validate integrations across multiple services.
- Troubleshoot end-to-end data flows and trace individual records across systems.
- Evaluate and recommend whether to modify existing applications, introduce adapters, or use shared data models.
- Collaborate with engineering teams to ensure reliable, maintainable and production-ready integration solutions.
Required skills and qualifications:
- 9+ years of experience building and operating production-grade data integrations.
- Strong hands-on experience with Python and SQL.
- Experience working with REST APIs and data formats such as XML and JSON.
- Strong understanding of batch processing and change-data processing.
- Experience developing integration adapters and transformation workflows.
- Hands-on experience with automated testing, logging, retries and replay mechanisms.
- Ability to troubleshoot and trace data across multiple services and processing layers.
Must have skills:
- Python and SQL
- API and data processing
- XML/JSON
- Batch and change-data processing
- Integration adapters and data transformations
- Automated testing
- Error handling, logging, retry and replay
- Strong understanding of end-to-end data flow and record traceability
Good to have skills:
- Experience with AWS Cloud services.
- Hands-on experience with RabbitMQ.
- Experience with MongoDB and Solr.
- Knowledge of cloud-based data platforms and distributed systems.
- Familiarity with CI/CD and DevOps practices.
Desired attributes:
- Strong problem-solving and troubleshooting skills.
- Ability to make sound architectural decisions around adapters, application changes and shared models.
- Strong focus on data accuracy, reliability and system compatibility.
- Excellent communication and collaboration skills.
- Ability to work independently and take end-to-end ownership of integration solutions.
- Strong engineering mindset with a focus on maintainability, testability and production readiness.
Interview process
- 2 rounds of discussion.
Role overview
We are looking for a Senior Data Integration Engineer to design, implement, and operate reliable integrations between a cloud data platform and an established data-processing application. The role will focus on building production-grade integration solutions, ensuring data consistency, compatibility, traceability and seamless processing across multiple services.
Key responsibilities:
- Design and implement source-to-application integrations, adapters and data transformation workflows.
- Develop and maintain batch and change-data processing pipelines using Python and SQL.
- Work with APIs, XML/JSON and integration services to enable reliable data exchange.
- Ensure record identity, data consistency and compatibility with existing applications.
- Implement robust logging, monitoring, retries, error handling and replay mechanisms.
- Develop automated tests and validate integrations across multiple services.
- Troubleshoot end-to-end data flows and trace individual records across systems.
- Evaluate and recommend whether to modify existing applications, introduce adapters, or use shared data models.
- Collaborate with engineering teams to ensure reliable, maintainable and production-ready integration solutions.
Required skills and qualifications:
- 9+ years of experience building and operating production-grade data integrations.
- Strong hands-on experience with Python and SQL.
- Experience working with REST APIs and data formats such as XML and JSON.
- Strong understanding of batch processing and change-data processing.
- Experience developing integration adapters and transformation workflows.
- Hands-on experience with automated testing, logging, retries and replay mechanisms.
- Ability to troubleshoot and trace data across multiple services and processing layers.
Must have skills:
- Python and SQL
- API and data processing
- XML/JSON
- Batch and change-data processing
- Integration adapters and data transformations
- Automated testing
- Error handling, logging, retry and replay
- Strong understanding of end-to-end data flow and record traceability
Good to have skills:
- Experience with AWS Cloud services.
- Hands-on experience with RabbitMQ.
- Experience with MongoDB and Solr.
- Knowledge of cloud-based data platforms and distributed systems.
- Familiarity with CI/CD and DevOps practices.
Desired attributes:
- Strong problem-solving and troubleshooting skills.
- Ability to make sound architectural decisions around adapters, application changes and shared models.
- Strong focus on data accuracy, reliability and system compatibility.
- Excellent communication and collaboration skills.
- Ability to work independently and take end-to-end ownership of integration solutions.
- Strong engineering mindset with a focus on maintainability, testability and production readiness.
Interview process
- 2 rounds of discussion.
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Staffing & Recruiting
- Banking & Financial Services
- Consulting & Professional Services
Senior Level Data Integration Specialist Jobs: Frequently Asked Questions
How do I get a senior level data integration specialist job?
Employers hiring at the senior level look for candidates who have owned end-to-end integration projects, not just contributed to them. Demonstrated experience designing scalable ETL or ELT pipelines, selecting integration platforms, and guiding junior engineers carries significant weight. Certifications in cloud data platforms and a portfolio of complex, production-grade integrations give candidates a clear edge at this stage.
Which companies hire senior level data integration specialists?
Companies hiring senior level data integration specialists right now include KBR, Apex IT, and Algoworks, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from large enterprises, healthcare systems, financial institutions, and technology firms that manage high volumes of data across multiple source systems.
Are there remote senior level data integration specialist jobs?
Yes, remote availability is strong at this level. About 67% of senior level data integration specialist openings are remote or hybrid as of September 2026, reflecting how many organizations staff integration leadership outside of a single headquarters. Fully on-site roles do exist, typically at employers with strict data security requirements or legacy infrastructure environments.
What makes a data integration specialist role senior level?
Senior level roles are defined by ownership and scope. Where mid-level specialists execute integration builds within defined parameters, senior specialists set the integration architecture, evaluate and select tooling, establish data quality standards, and mentor other engineers. They are accountable for how data moves reliably across an organization, not just for individual pipeline delivery.
Which industries hire the most senior level data integration specialists?
Senior Level data integration specialist roles concentrate in Technology & Software, Staffing & Recruiting, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they operate complex, multi-system data environments where integration failures carry significant operational or compliance consequences, making experienced leadership a priority.