Senior Level Data Integration Engineer Jobs
Senior level data integration engineer jobs place experienced engineers in charge of integration architecture decisions, pipeline reliability, and the cross-functional teams that deliver them. Openings concentrate across Technology & Software and Healthcare & Medical Services, with 40% of roles available remote or hybrid, and employers like DaVita, Mastercard, and Kestra Financial hiring at this level now.
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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.
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Senior Level Data Integration Engineer Jobs: Frequently Asked Questions
How do I get a senior level data integration engineer job?
Employers at this level look for engineers who have owned integration architecture end to end, not just contributed to it. Demonstrable experience designing scalable ETL and ELT pipelines, selecting integration platforms, resolving data quality issues at scale, and mentoring junior engineers all carry significant weight. Strong candidates can speak to tradeoffs they made on real systems and the business outcomes that followed.
Which companies hire senior level data integration engineers?
Companies hiring senior level data integration engineers right now include DaVita, Mastercard, and Kestra Financial, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large enterprises managing complex data ecosystems, cloud-native technology firms, and professional services organizations building out data infrastructure for clients.
Are there remote senior level data integration engineer jobs?
Yes, remote and hybrid availability is strong at this level. About 40% of senior level data integration engineer openings are remote or hybrid as of November 2026, reflecting how readily distributed teams can collaborate on integration work. On-site roles do exist, typically where data governance, security requirements, or enterprise system access makes proximity necessary.
What makes a data integration engineer role senior level?
Senior level roles are defined by scope and ownership. Engineers at this stage are expected to set the technical direction for integration systems, evaluate and select tooling, establish data quality and pipeline standards, and take accountability for production reliability. They also mentor mid and junior engineers, contribute to architecture reviews, and collaborate directly with data engineering leadership and business stakeholders.
Which industries hire the most senior level data integration engineers?
Senior Level data integration engineer roles concentrate in Technology & Software and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because their operations depend on reliable, high-volume data movement across complex systems, where experienced engineers are needed to design and own the infrastructure rather than simply maintain it.