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Data Transfer Jobs in Connecticut (NOW HIRING)

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Proficiency in ETL tools such as Talend and Informatica. Strong knowledge of Data Warehousing (modeling, mapping, batch, and real-time pipelines). Experience with DataOps tools (GitHub, Jenkins ...

STI

Data Scientist

Hartford, CT · On-site

... L • Developing and analyzing user surveys • Expertise in the principles and operating ... data and queries for easy access in future work projects • Documenting data collection and ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Build and maintain cloud-native ETL/ELT processes using BigQuery, Cloud Storage, and Dataflow ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Build and maintain cloud-native ETL/ELT processes using BigQuery, Cloud Storage, and Dataflow ...

Stem Xpert

Informatica ETl Developer

Stamford, CT

Ability to lead in ETL architecture, reusability components and best practice design efforts ... loading high volume of data within SLA, proactive error handling; Working knowledge of an ...

pathwayRP

Data Analyst Specialist

Wilton, CT · On-site

Data governance needs to communicate frequently with users and developers, be knowledgeable about ... L and database connections, will help enormously. Maintaining Existing Processes: Updating ...

Customer Operations

Data Scientist

Stamford, CT · On-site +1

Responsible for the full end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of financial impact. * Partner with cross-functional ...

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All JobsData Transfer JobsData Transfer Jobs in Connecticut

Data Transfer information

See Connecticut salary details

$43.8K

$157K

$231.6K

How much do data transfer jobs pay per year?

As of Aug 22, 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:

Data Transfer jobs near you
Infographic showing various Data Transfer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $156,979 per year, or $75.5 per hour.

Data Engineer

Amicis Global

Hartford, CT • On-site

$70 - $80/hr

Contractor

Re-posted 23 days ago

Job description

Title: Data Engineer
Location: Hartford Insurance Group, CT, 06155
Duration: 6+ Months
Pay: $70-$80/hr on W2 
 
Job Description: Key Responsibilities
Serve as subject matter expert and/or technical lead for large-scale data products.
Drive end-to-end solution delivery across multiple platforms and technologies, leveraging ELT solutions to acquire, integrate, and operationalize data.
Partner with architects and stakeholders to define and implement pipeline and data product architecture, ensuring integrity and scalability.
Communicate risks and trade-offs of technology solutions to senior leaders, translating technical concepts for business audiences.
Build and enhance data pipelines using cloud-based architectures.
Design simplified data models for complex business problems.
Champion Data Engineering best practices across teams, implementing leading big data methodologies (AWS, Hadoop/EMR, Spark, Snowflake, Talend, Informatica) in hybrid cloud/on-prem environments.
Operate independently while fostering a collaborative, transformation-focused mindset.
Work effectively in a lean, fast-paced organization, leveraging Scaled Agile principles.
Promote code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value.
 
Qualifications:
5+ years of data engineering experience.
2+ years developing and operating production workloads in cloud infrastructure.
Bachelor's degree in Computer Science, Data Science, Information Technology, or related field.
Hands-on experience with Snowflake (including SnowSQL, Snowpipe).
Expert-level skills in AWS services, Snowflake, Python, and Spark (certifications are a plus).
Proficiency in ETL tools such as Talend and Informatica.
Strong knowledge of Data Warehousing (modeling, mapping, batch, and real-time pipelines).
Experience with DataOps tools (GitHub, Jenkins, UDeploy).
Familiarity with P&C Commercial Lines business.
 
Knowledge of legacy tech stack: Oracle Database, PL/SQL, Autosys, Hadoop, stored procedures, and Shell scripting.
Experience using Agile tools like Rally.
Excellent written and verbal communication skills to interact effectively with technical and non-technical stakeholders
Staff Data Engineer
Hands-on experience in Snowflake
Primary skill set is Snowflake
Hybrid position - 3 days in the office in Hartford or Charlotte
Must be prepared for an in-person interview 
Data mapping and data modeling
Coordinate with stakeholders and understand how the new model in Snowflake will look
Putting together a new agile team of 5 to 6 people
Red flag on resume: if they have all the technologies, primarily looking for someone able to explain what they worked on and what challenges they faced
Insurance experience is an added advantage; I would choose someone with P&C experience over someone without
Coding assessment in interview: SQL, Snowflake