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Data Integration Lead Jobs (NOW HIRING)

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

Role Description The Healthcare Data Integration Lead is responsible for the end-to-end lifecycle of external healthcare data integrations at Oxbridge Health. This role owns the technical ...

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

$140 - $190/hr

Role Description The Healthcare Data Integration Lead is responsible for the end-to-end lifecycle of external healthcare data integrations at Oxbridge Health. This role owns the technical ...

Biogen

Manager, IT Data Integration Lead

Cambridge, MA · On-site

We are seeking a Manager, IT Data Integration Lead - Omnichannel & Analytics to serve as the primary bridge between US Commercial business stakeholders and cross-functional IT delivery teams. This ...

Procentrix, Inc.

Integration Lead

Washington, DC · On-site

$150K - $170K/yr

The Integration Lead will direct the design, planning, and execution of integration activities for ... This role ensures secure, reliable, and scalable data exchange across internal and external systems ...

Procentrix, Inc.

Integration Lead

Washington, DC · On-site

$150K - $170K/yr

The Integration Lead will direct the design, planning, and execution of integration activities for ... This role ensures secure, reliable, and scalable data exchange across internal and external systems ...

Procentrix, Inc.

Integration Lead

Washington, DC · On-site

The Integration Lead will direct the design, planning, and execution of integration activities for ... This role ensures secure, reliable, and scalable data exchange across internal and external systems ...

Baer Group

$90 - $120/hr

Working under the Data Integration Lead, this position collaborates with APEX developers, GenAI engineers, business analysts, and DevOps teams to implement established data models, mappings, and ...

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How much do data integration lead jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data integration lead in the United States is $70.08, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $78.61 per hour, depending on experience, location, and employer.

What is a data integration lead?

A Data Integration Lead is a professional responsible for overseeing the process of combining data from different sources into a unified and consistent view. This role involves managing integration projects, ensuring data quality, and coordinating between data engineers, analysts, and business stakeholders. They design and implement data integration strategies, select appropriate tools, and ensure that data flows efficiently and securely across systems. Data Integration Leads also troubleshoot issues, optimize data pipelines, and support organizational decision-making by providing reliable and accessible data.

What are some common challenges a data integration lead faces when coordinating across multiple teams?

A Data Integration Lead often encounters challenges such as aligning data standards across diverse teams, managing conflicting priorities, and ensuring clear communication between technical and business stakeholders. They must also address data quality issues that arise during integration and coordinate timelines to minimize disruptions to ongoing operations. Success in this role requires strong project management skills, adaptability, and the ability to facilitate collaboration among data engineers, analysts, and business users.

What are the key skills and qualifications needed to thrive as a data integration lead, and why are they important?

To thrive as a Data Integration Lead, you need expertise in data management, ETL processes, and systems integration, often backed by a degree in computer science or related fields. Familiarity with integration tools such as Informatica, Talend, or Microsoft SSIS, as well as knowledge of cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills for coordinating teams and managing complex projects. These skills ensure seamless data flow, high-quality integrations, and the successful delivery of business intelligence initiatives.

What is the difference between Data Integration Lead vs Data Engineer?

AspectData Integration LeadData Engineer
Primary FocusOversees data integration processes, manages teams, ensures data flows smoothly across systemsBuilds, develops, and maintains data pipelines and infrastructure
Skills & CertificationsData management, project management, SQL, ETL tools, leadershipProgramming (Python, Java), SQL, cloud platforms, ETL development
Work EnvironmentLeadership roles in data teams, cross-department collaborationTechnical development in data engineering teams, coding, and system design

While both roles involve working with data systems, the Data Integration Lead primarily manages and oversees data integration projects and teams, focusing on coordination and strategy. In contrast, Data Engineers focus on building and maintaining the technical infrastructure for data processing. Both roles require strong technical skills, but their responsibilities differ in scope and focus.

More about Data Integration Lead jobs

What job categories do people searching Data Integration Lead jobs look for?

The top searched job categories for Data Integration Lead jobs are:

Data Integration Lead jobs near you
Infographic showing various Data Integration Lead job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $145,772 per year, or $70.1 per hour.

Data Integration Lead

Oxbridge Health

Norwalk, CT • On-site

Full-time

Re-posted 3 days ago

Key responsibilities

  • Own the technical integrations with TPAs, provider networks, and other external healthcare partners.

  • Design, maintain, and operate data ingestion pipelines, including mapping partner data into Oxbridge's canonical data model and ensuring data quality and reliability.

  • Collaborate with partner technical teams to troubleshoot, resolve issues, and manage changes to data exchange specifications.

Job description

Company Overview:
Our company is a start-up that specializes in episodes of care benefit plans. We have a deep expertise in episode pricing and analytics and our goal is to bring transparency and efficiency to the healthcare market. Our company is committed to providing high-quality, affordable healthcare to our customers.
Role Description
The Healthcare Data Integration Lead is responsible for the end-to-end lifecycle of external healthcare data integrations at Oxbridge Health. This role owns the technical implementation and day-to-day operation of data exchanges with Third-Party Administrators (TPAs), provider networks, and other healthcare partners.
You will define and manage external data contracts, maintain partner-specific file and API specifications, translate external data into Oxbridge's canonical data model, and ensure timely, accurate, and reliable delivery of data to internal consumers including Engineering, Operations, Analytics, Clinical, and Machine Learning teams.
This is a hands-on technical leadership role combining software engineering, data integration, and partner collaboration, with a clear growth path toward leading the Data Integration function.
Responsibilities
  • Own technical integrations with TPAs, provider networks, and other external healthcare partners.
  • Own the ingestion, lifecycle, and governance of provider, network, and reference data used across the platform.
  • Define, maintain, and version partner integration specifications, including file layouts, APIs, schemas, and data contracts.
  • Lead onboarding of new partners and manage changes to existing integrations while minimizing downstream impact.
  • Collaborate directly with partner technical teams to troubleshoot and resolve production data exchange issues.
  • Ensure reliable, secure, and timely delivery of healthcare data across all integrations.

Canonical Data & Integration Engineering
  • Design and maintain mappings from partner-specific formats into Oxbridge's canonical data model.
  • Define reusable integration patterns for file-based, API-based, and event-driven data exchange.
  • Build and enhance ingestion services supporting validation, transformation, reconciliation, and processing workflows.
  • Maintain backward compatibility as partner formats and business requirements evolve.
  • Collaborate with Engineering teams to ensure internal consumers receive consistent, well-defined data.

Data Operations & Reliability
  • Operate and support production ingestion pipelines for external healthcare data.
  • Monitor integration health, data quality, and delivery SLAs.
  • Implement validation, reconciliation, duplicate detection, and error recovery processes.
  • Perform root cause analysis for production integration issues and coordinate resolution with internal teams and external partners.
  • Improve observability through monitoring, alerting, dashboards, and operational runbooks.

Data Quality & Governance
  • Establish standards for external data quality, validation, and canonical mapping.
  • Ensure incoming data is complete, accurate, and consistent before being consumed by downstream systems.
  • Partner with Operations, Analytics, Clinical, and Product teams to continuously improve data quality.
  • Ensure all integrations comply with HIPAA and applicable healthcare data regulations.
  • Deliver trusted, standardized datasets that enable Operations, Engineering, Analytics, and Machine Learning teams.

Collaboration & Leadership
  • Serve as the primary technical point of contact for healthcare data integrations.
  • Partner with Engineering, Product, Operations, Analytics, and external organizations to define integration priorities and resolve complex data challenges.
  • Mentor engineers and promote best practices in integration engineering and operational excellence.
  • Contribute to hiring, process improvements, and the evolution of the Data Integration function.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 5-7+ years of experience in healthcare integration engineering, backend engineering, data engineering, or similar roles.
  • Experience designing, implementing, and operating partner integrations using file-based (CSV, JSON, XML) and API-based data exchanges.
  • Strong experience with data ingestion, transformation (ETL/ELT), canonical data modeling, and validation frameworks to ensure accurate and reliable data exchange.
  • Experience operating production data pipelines with a focus on reliability, observability, and troubleshooting.
  • Experience defining integration contracts and collaborating directly with external partners.
  • Strong SQL and AWS experience (S3, Lambda, SQS, EventBridge, Glue).
  • Excellent communication and stakeholder management skills.

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