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Contract Data Integration Jobs in New York (NOW HIRING)

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

You will define and manage external data contracts, maintain partner-specific file and API ... Own technical integrations with TPAs, provider networks, and other external healthcare partners.

Sonsoft Inc

MS Data Integration

New York, NY

Primary Skill Microsoft Data Integration Tools Qualifications Basic Qualifications :- * Bachelor ... Additional Information Note:- This is a Contract job opportunity for you. Only Only US Citizen ...

Sonsoft Inc

MS Data Integration

New York, NY · On-site

Primary Skill Microsoft Data Integration Tools Qualifications * Bachelor's degree or foreign ... Additional Information Note:- This is a Contract job opportunity for you. Only Only US Citizen ...

Byteware Inc.

Healthcare Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

New York, NY (2-3 Days Onsite) Contract Experience: 14+ Years Job Summary Position Overview We are ... integration . The Data Architect will partner closely with business leaders, enterprise ...

Staffingine LLC

Data Architect

Jersey City, NJ · On-site

$66.50 - $85.50/hr

Contract * Develop and evolve the enterprise wide data strategy to support delivery of corporate ... Develop key performance measures for data integration and quality * Support third party data ...

Mondo

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

Mid August Duration: 6 Month Contract Compensation Range: $65-72/hour W2 Benefits: Eligible for ... Ensure data integrity, security, and accessibility. 3. Data Integration: a. Collaborate with data ...

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Contract Data Integration information

What is a contract data integration specialist?

A Contract Data Integration specialist is a professional responsible for combining, transforming, and managing data from various contract management systems into a unified format. They work to ensure that data from different sources—such as procurement, legal, and vendor management platforms—can be seamlessly accessed, analyzed, and reported. The role typically involves using integration tools, APIs, and data mapping techniques to automate workflows and improve data accuracy. This helps organizations maintain compliance, streamline contract processes, and make data-driven decisions.

What are some common challenges faced by professionals in contract data integration roles, and how can they be addressed?

Professionals in Contract Data Integration often encounter challenges such as consolidating data from diverse sources, ensuring data accuracy, and maintaining data confidentiality. Navigating different contract management systems and formats can be complex, requiring strong technical skills and attention to detail. Building effective communication channels with legal, procurement, and IT teams is crucial for successful integration projects. Staying updated on industry best practices and utilizing automation tools can help streamline processes and reduce errors.

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

To thrive as a Contract Data Integration Specialist, you need strong data analysis skills, experience with data mapping, and knowledge of contract management processes, typically supported by a degree in information systems or a related field. Familiarity with data integration tools like Informatica, MuleSoft, or Microsoft SSIS, as well as experience with contract lifecycle management (CLM) systems, is commonly required. Attention to detail, problem-solving, and effective communication are important soft skills for coordinating with stakeholders and ensuring data accuracy. These skills are crucial for successfully merging contract data from multiple sources, minimizing errors, and supporting business decision-making.

What is the difference between Contract Data Integration vs Data Analyst?

AspectContract Data IntegrationData Analyst
Required SkillsData mapping, ETL processes, database managementData analysis, visualization, statistical skills
Work EnvironmentProject-based, technical teams, IT departmentsBusiness units, reporting teams, analytics departments
CertificationsETL tools, database certifications, data managementExcel, SQL, Tableau, statistical certifications

Contract Data Integration specialists focus on connecting and managing data flows between systems, emphasizing technical skills like ETL and database management. Data Analysts interpret data to generate insights, requiring analytical and visualization skills. While both roles work with data, their core functions and skill sets differ, making them distinct but complementary in data-driven organizations.

What are the most commonly searched types of Data Integration jobs in New York?

The most popular types of Data Integration jobs in New York are:

What are popular job titles related to Contract Data Integration jobs in New York?

For Contract Data Integration jobs in New York, the most frequently searched job titles are:

What job categories do people searching Contract Data Integration jobs in New York look for?

The top searched job categories for Contract Data Integration jobs in New York are:

What cities in New York are hiring for Contract Data Integration jobs?

Cities in New York with the most Contract Data Integration job openings:

Contract Data Integration jobs near you

Data Integration Lead

Oxbridge Health

Norwalk, CT • On-site

Full-time

Posted 26 days ago

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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