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Data Transfer Jobs in Connecticut (NOW HIRING)

Create diversified vendor specifications for third-party vendor data transfer. * Plan and coordinate database design, development, implementation, maintenance, and user support of clinical systems.

Sr ETL Architect

Windsor, CT · On-site

$120 - $150/hr

Lead the migration of existing data platforms to AWS cloud-native solutions. * Develop robust data pipelines using ETL/ELT tools, SQL, and Python/Scala. * Integrate data from diverse sources ...

ETL Developer

Hartford, CT · On-site

$110 - $170/hr

Must have strong skills in SSIS, data mapping, data cleaning. In addition to SSIS, must be strong ... * ETL - strong SSIS * Strong Python * Ideally recent experience with COBOL mainframe systems ...

ETL Developer

Hartford, CT · On-site +1

$51.50 - $67.25/hr

Must have strong skills in SSIS, data mapping, data cleaning. In addition to SSIS, must be strong in Python. * ETL - strong SSIS * Strong Python * Ideally recent experience with COBOL mainframe ...

... Data transfer specifications, mapping specifications, and annotated CRF. * Liaising with and reviewing work delivered by external partners (e.g., Function Service Providers, CROs, technology ...

... Data transfer specifications, mapping specifications, and annotated CRF. * Liaising with and reviewing work delivered by external partners (e.g., Function Service Providers, CROs, technology ...

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

Translating data and technology requirements into our ETL / ELT architecture. Develop real-time and batch data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache ...

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Showing results 1-20

Data Transfer information

See Connecticut salary details

$43.8K

$157K

$231.6K

How much do data transfer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data transfer in Connecticut is $156,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,700.00 per year, depending on experience, location, and employer.

What is a data transfer?

A Data Transfer job involves the movement of data between different systems, storage devices, or platforms while ensuring data integrity, security, and compliance. Professionals in this role may handle large-scale migrations, backups, or cloud transfers using specialized tools and protocols. They also troubleshoot transfer issues, optimize data flow, and ensure minimal downtime during the process.

What are some of the common challenges faced by data transfer specialists?

Data transfer specialists often face challenges such as working with large volumes of sensitive information while maintaining data integrity and security throughout the migration process. Complexities may arise when dealing with incompatible systems, legacy platforms, or limited downtime windows for critical business operations. Effective collaboration with IT, data owners, and project managers is key to overcoming these obstacles and ensuring a smooth transfer. Developing strong troubleshooting skills also helps address unexpected issues quickly and minimize disruption to the organization.

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

To thrive in a Data Transfer role, you need strong attention to detail, data management experience, and an understanding of data privacy regulations, typically supported by a degree in information technology or a related field. Familiarity with data migration tools, database management systems, and file transfer protocols is essential; certifications in data management or cloud services can be advantageous. Excellent organizational skills, effective communication, and problem-solving abilities help you adapt to changing project requirements and coordinate with cross-functional teams. These skills are crucial for ensuring accurate, secure, and timely data transfers that support key business operations.

What are the most commonly searched types of Data Transfer jobs in Connecticut?

The most popular types of Data Transfer jobs in Connecticut are:

What are popular job titles related to Data Transfer jobs in Connecticut?

For Data Transfer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Data Transfer jobs in Connecticut look for?

The top searched job categories for Data Transfer jobs in Connecticut are:

Infographic showing various Data Transfer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $156,979 per year, or $75.5 per hour.

Sr Data Engineer + Platform Engineer (GCP)

Tiger Analytics Inc.

Hartford, CT • Hybrid

$106K - $145K/yr

Full-time

Re-posted 17 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about solving business problems that can be solved using systems thinking, AI engineering and data driven Insights, Tiger Analytics would like to talk to you. Now hiring for multiple roles across solution architecture, consulting and forward deployed engineering teams

Requirements

Please note this is a Hybrid role with 3-4 days a week onsite.

       Proficiency in SQL, Python, and core Google Cloud services (BigQuery, Dataflow, and Cloud Storage) for building scalable ELT/ETL pipelines.

       Experience with GCP Data Transfer service, Cloud Transfer Servie, Pub/Sub, Cloud Data Flow, Cloud Data Proc, Cloud Data Prep, Cloud Composer etc

       Strong in Python.

       Key skills include designing data models, implementing real-time processing (Pub/Sub), managing security (IAM), and automating infrastructure (Terraform)

       Experience in, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler

       Experience with GCP Services deployments, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler

       Provisioning the GCP Resources

       Containerization & Orchestration: Docker and Google Kubernetes Engine (GKE)

       GCP DevOps experience: Cloud Build, Cloud Deploy

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibilities.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.