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Data Engineer Contract Jobs in Connecticut (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 ... This is a hands-on technical leadership role combining software engineering, data integration, and ...

TechVirtue LLC

Senior Data Architect

Windsor, CT · On-site

$66.75 - $89.50/hr

Windsor, CT (5 Days from office) Duration: 12 Months contract About the Role: We are seeking a ... This role works directly with business, architecture, and engineering teams to define scalable data ...

PROLIM Global Corporation

Dataiku Engineer

Stamford, CT · On-site +1

Stamford, CT/Remote Job Type: Long Term Contract Mandatory Skill: Dataiku Engineering experience ... Provide strategic guidance on data wrangling, workflow orchestration, and platform integration ...

Ralliant

Contract Administrator

Plainville, CT · On-site

... data protection, compliance, and order of precedence. * Support negotiation and administration of ... With a global footprint and a legacy of excellence, we empower engineers to bring next-generation ...

Element Materials Technology

Data Processor

Norwalk, CT · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

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Showing results 21-40

All JobsData Engineer Contract JobsData Engineer Contract Jobs in Connecticut

Data Engineer Contract information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do data engineer contract jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer contract in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the most commonly searched types of Data Engineer jobs in Connecticut? The most popular types of Data Engineer jobs in Connecticut are:
What are popular job titles related to Data Engineer Contract jobs in Connecticut? For Data Engineer Contract jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Connecticut look for? The top searched job categories for Data Engineer Contract jobs in Connecticut are:
What cities in Connecticut are hiring for Data Engineer Contract jobs? Cities in Connecticut with the most Data Engineer Contract job openings:
Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Connecticut as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,397 per year, or $59.3 per hour.

Data Integration Lead

Oxbridge Health

Norwalk, CT • On-site

Full-time

Posted 8 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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