Data Integration Developer Jobs
Data Integration Developer jobs are open across healthcare, financial services, retail, and technology, from entry-level to senior and lead, with specializations in ETL pipeline development, API integration, and data warehouse engineering. Find a role that fits from the openings below and apply directly.
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Senior Data Integration Developer — SAS / Python / R
Company: Cogent Data Solutions LLC
Location: Austin, Texas — Hybrid
Job Type: Contract
About the Opportunity
Cogent Data Solutions LLC is seeking an experienced Senior Data Integration Developer to support public health data modernization for a Texas state agency. This role involves developing automated data workflows, integrating electronic health information, and building dashboards that improve public health surveillance and reporting. You will work closely with program staff, epidemiologists, and technical teams to translate business needs into reliable technical solutions, reduce manual data review, and improve data quality.
Work Schedule and Location
Applicants must currently reside within a 50-mile radius of Austin, Texas.
The current schedule is four days remote and one day onsite per week, subject to agency needs.
Standard work hours are Monday–Friday, 8:00 a.m.–5:00 p.m. Central Time.
Interviews will be conducted in person.
* Candidates planning to relocate do not meet the current residency requirement.
Key Responsibilities
Assess business and technical requirements for integrating electronic initial case reports into an existing public health registry.
Develop, test, maintain, and troubleshoot programs using SAS, Python, R, or comparable programming languages.
Automate data extraction, validation, ingestion, and population of registry fields.
Develop dashboards and automated workflows to support case triage, clinical review, and reporting.
Test and validate data integration processes for accuracy, completeness, and reliability.
Troubleshoot issues and improve existing programming solutions.
Document system requirements, code, technical specifications, workflows, and validation procedures.
Collaborate with program and technical teams to identify integration challenges and recommend improvements.
Required Qualifications
Applicants must demonstrate at least eight years of experience in each of the following areas:
Developing, testing, maintaining, and troubleshooting scripts using SAS, Python, R, or a comparable programming language. Experience in all three languages is not required.
System integration, dashboard development, and automation to improve interoperability workflows.
Working with structured or semi-structured health, public health, or other complex administrative data, including knowledge of databases and database querying.
Preparing system requirements documentation that translates business and program needs into technical solutions.
Testing and validating automated data integration solutions.
Documenting code, technical specifications, workflows, and procedures.
* Analytical problem-solving, collaboration, and communicating technical concepts to technical and nontechnical stakeholders.
Preferred Qualifications
Two or more years of relevant experience in the following areas:
Electronic case reporting (eCR/eICR), electronic health records (EHR), or health information exchange (HIE).
Healthcare interoperability standards such as HL7, XML, or FHIR, and clinical terminology standards such as SNOMED CT.
SQL and relational databases.
Public health surveillance systems or registries.
* Data linkage, record matching, and automated data pipelines or ETL processes.
Senior Data Integration Developer — SAS / Python / R
Company: Cogent Data Solutions LLC
Location: Austin, Texas — Hybrid
Job Type: Contract
About the Opportunity
Cogent Data Solutions LLC is seeking an experienced Senior Data Integration Developer to support public health data modernization for a Texas state agency. This role involves developing automated data workflows, integrating electronic health information, and building dashboards that improve public health surveillance and reporting. You will work closely with program staff, epidemiologists, and technical teams to translate business needs into reliable technical solutions, reduce manual data review, and improve data quality.
Work Schedule and Location
Applicants must currently reside within a 50-mile radius of Austin, Texas.
The current schedule is four days remote and one day onsite per week, subject to agency needs.
Standard work hours are Monday–Friday, 8:00 a.m.–5:00 p.m. Central Time.
Interviews will be conducted in person.
* Candidates planning to relocate do not meet the current residency requirement.
Key Responsibilities
Assess business and technical requirements for integrating electronic initial case reports into an existing public health registry.
Develop, test, maintain, and troubleshoot programs using SAS, Python, R, or comparable programming languages.
Automate data extraction, validation, ingestion, and population of registry fields.
Develop dashboards and automated workflows to support case triage, clinical review, and reporting.
Test and validate data integration processes for accuracy, completeness, and reliability.
Troubleshoot issues and improve existing programming solutions.
Document system requirements, code, technical specifications, workflows, and validation procedures.
Collaborate with program and technical teams to identify integration challenges and recommend improvements.
Required Qualifications
Applicants must demonstrate at least eight years of experience in each of the following areas:
Developing, testing, maintaining, and troubleshooting scripts using SAS, Python, R, or a comparable programming language. Experience in all three languages is not required.
System integration, dashboard development, and automation to improve interoperability workflows.
Working with structured or semi-structured health, public health, or other complex administrative data, including knowledge of databases and database querying.
Preparing system requirements documentation that translates business and program needs into technical solutions.
Testing and validating automated data integration solutions.
Documenting code, technical specifications, workflows, and procedures.
* Analytical problem-solving, collaboration, and communicating technical concepts to technical and nontechnical stakeholders.
Preferred Qualifications
Two or more years of relevant experience in the following areas:
Electronic case reporting (eCR/eICR), electronic health records (EHR), or health information exchange (HIE).
Healthcare interoperability standards such as HL7, XML, or FHIR, and clinical terminology standards such as SNOMED CT.
SQL and relational databases.
Public health surveillance systems or registries.
* Data linkage, record matching, and automated data pipelines or ETL processes.
Data Integration Developer Jobs by Experience Level
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Find JobsData Integration Developer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in data integration developer jobs.
- Proficiency in ETL tools such as Informatica, Talend, SSIS, or Apache NiFi
- Experience with SQL and relational databases including SQL Server, Oracle, or PostgreSQL
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud
- Understanding of data warehousing concepts including star schema and dimensional modeling
- Experience with scripting languages such as Python or Shell for pipeline automation
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Data Integration Developer Job Search
Tailor your resume to each stack
Employers scan for the specific tools they use, so mirror the exact names from each job posting on your resume. If the listing says Informatica, don't substitute Talend, even if your experience overlaps. Keyword mismatches eliminate you before a human reads your application.
Showcase pipeline complexity, not just tools
Hiring managers want to see what you moved, transformed, and connected, not just which platforms you touched. Describe the volume, frequency, and business impact of the pipelines you built. Generic tool lists without context rarely advance past the first screening.
Apply early to roles that fit
Migrate Mate lists data integration developer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name your certifications
Listings that name a certification, such as AWS Certified Data Analytics or Microsoft Azure Data Engineer, rank applicants who hold it above those who don't. Filter your search for those roles when you have the credential so your application lands in the prioritized pool.
Prepare a live walkthrough for technical screens
Many data integration interviews include a screen share where you write or debug a transformation query or mapping in real time. Practice explaining your logic aloud as you work through a sample integration problem so the interviewer can follow your reasoning.
Negotiate scope before accepting an offer
Ask whether the role owns the full pipeline from source to consumption or only one segment, since that determines your growth path and workload. Clarifying scope before you sign prevents misaligned expectations in the first ninety days.
Data Integration Developer Jobs: Frequently Asked Questions
Which companies are hiring the most data integration developers?
The companies hiring the most data integration developers right now include BLN24, Peraton, and Mastercard, with the largest share of openings in Texas, Virginia, and Missouri, based on current listings on Migrate Mate as of November 2026. Demand is particularly concentrated in organizations undergoing cloud migration or consolidating legacy data systems.
How many data integration developer jobs are remote?
About 100% of data integration developer openings are fully remote or hybrid as of November 2026, reflecting how much of the work can be done without being on site. Roles focused on cloud-based ETL pipelines and API integrations tend to be the most remote-friendly, while positions requiring hands-on work with on-premises databases or data center infrastructure are more likely to require in-office presence.
How do you become a data integration developer?
Start by building a foundation in SQL, then learn at least one ETL platform such as Informatica, Talend, or SSIS through hands-on projects or coursework. Next, gain experience with a cloud data platform by completing a vendor certification or building a personal project that moves data between sources. Contribute to an open-source data project or build a portfolio pipeline that demonstrates end-to-end data flow from ingestion to a usable destination.
Can you get a data integration developer job with little experience?
Yes, entry-level data integration developer roles exist, and employers filling them prioritize demonstrated hands-on ability over years of experience. Build a portfolio project that pulls data from a public API, transforms it with Python or SQL, and loads it into a database you can show during interviews. Certifications from AWS, Microsoft, or Google also signal practical readiness and help your application stand out against candidates with similar backgrounds.
What does the data integration developer interview process look like?
Most processes start with a recruiter call to confirm your background and tool experience, followed by a technical screen that tests SQL queries, data transformation logic, or a take-home mapping exercise. A second technical round often includes a live coding or debugging session where you walk through a sample pipeline problem. Final rounds typically involve a conversation with the data engineering team about architecture decisions and how you've handled data quality or latency issues in past projects.
Where can I find and apply to data integration developer jobs?
You can find and apply to data integration developer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your skills and experience level, then apply directly to each one that fits.
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