Cloud Data Engineer Visa Sponsorship Jobs in Connecticut
Connecticut's cloud data engineer job market is anchored by insurance and financial services giants like Aetna, Hartford Financial Services, and Cigna, all headquartered in Hartford, along with defense contractors in Groton and Stamford's growing tech sector. These employers regularly hire for cloud data engineering roles and have established visa sponsorship programs.
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Get Access To All JobsINTRODUCTION
Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant’s extensive collection of datasets—sourced from hundreds of vendors—into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes.
The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms—empowering systematic research and robust backtesting.
Responsibilities
- Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers.
- Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows.
- Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks × values matrices for rapid hypothesis testing.
- Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs.
- Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors.
- Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability.
- Prototype and deploy internal data applications that enhance research productivity and data transparency.
- Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems.
REQUIREMENTS
- 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment.
- Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes).
- Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems).
- Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies.
- Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts.
- Ability to translate research needs into efficient data schemas and access patterns.
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field.
- Strong collaboration, communication, and documentation skills.
- Familiarity with cloud-based architectures (e.g., AWS, GCP, Azure) and modern data governance practices is a plus.
BENEFITS
- Competitive salary plus bonus based on individual and company performance.
- Collaborative, casual, and friendly work environment.
- PPO health, dental, and vision insurance premiums fully covered for you and your dependents.
- Pre-tax commuter benefits.
- Weekly company meals.
LOCATION
Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026.
COMPENSATION
The base salary range is $175,000 - $200,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.
Trexquant is an Equal Opportunity Employer.
INTRODUCTION
Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant’s extensive collection of datasets—sourced from hundreds of vendors—into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes.
The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms—empowering systematic research and robust backtesting.
Responsibilities
- Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers.
- Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows.
- Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks × values matrices for rapid hypothesis testing.
- Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs.
- Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors.
- Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability.
- Prototype and deploy internal data applications that enhance research productivity and data transparency.
- Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems.
REQUIREMENTS
- 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment.
- Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes).
- Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems).
- Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies.
- Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts.
- Ability to translate research needs into efficient data schemas and access patterns.
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field.
- Strong collaboration, communication, and documentation skills.
- Familiarity with cloud-based architectures (e.g., AWS, GCP, Azure) and modern data governance practices is a plus.
BENEFITS
- Competitive salary plus bonus based on individual and company performance.
- Collaborative, casual, and friendly work environment.
- PPO health, dental, and vision insurance premiums fully covered for you and your dependents.
- Pre-tax commuter benefits.
- Weekly company meals.
LOCATION
Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026.
COMPENSATION
The base salary range is $175,000 - $200,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.
Trexquant is an Equal Opportunity Employer.
Cloud Data Engineer Job Roles in Connecticut
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Search Cloud Data Engineer Jobs in ConnecticutCloud Data Engineer Jobs in Connecticut: Frequently Asked Questions
Which companies sponsor visas for cloud data engineers in Connecticut?
Insurance and financial services companies are among the most active sponsors for cloud data engineers in Connecticut. Aetna, Cigna, and Hartford Financial Services have histories of H-1B visa sponsorship for data and engineering roles. Defense contractors like Electric Boat in Groton and large healthcare systems such as Hartford HealthCare also hire cloud data engineers, though sponsorship availability varies by role and hiring cycle.
Which visa types are most common for cloud data engineer roles in Connecticut?
The H-1B is the most common visa for cloud data engineers in Connecticut, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, information systems, or a related field. Candidates with Canadian or Mexican citizenship may qualify for TN visa status under the USMCA. Those with extraordinary ability in their field may pursue the O-1A. Indian and Chinese nationals with approved I-140 petitions may already be working toward permanent residence through EB-2 or EB-3 categories.
Which cities in Connecticut have the most cloud data engineer sponsorship jobs?
Hartford is the primary hub, driven by its concentration of insurance headquarters and financial services firms that rely heavily on cloud infrastructure and data engineering. Stamford attracts technology and finance employers given its proximity to New York City. New Haven has a smaller but active market, partly supported by Yale University's research partnerships and associated life sciences companies. Bridgeport and Groton see more limited activity, mostly tied to healthcare and defense sectors.
How to find cloud data engineer visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically by visa sponsorship availability, which saves significant time when searching for cloud data engineer roles in Connecticut. You can browse openings at Hartford-area insurance companies, Stamford financial firms, and New Haven healthcare and tech employers all in one place. Because sponsorship status is surfaced directly in the listings, you avoid applying to roles where sponsorship is not offered.
Are there state-specific factors cloud data engineers should know when pursuing sponsorship in Connecticut?
Connecticut employers sponsoring H-1B workers must pay the prevailing wage as determined by the Department of Labor for the specific role and geographic area, which for cloud data engineers in Hartford and Fairfield County reflects the regional cost of living and market rates. Connecticut's economy is heavily weighted toward regulated industries like insurance, healthcare, and finance, meaning cloud data engineers here often work with compliance-sensitive data environments, which can influence how roles are scoped and how employers approach sponsorship paperwork.
What is the prevailing wage for sponsored cloud data engineer jobs in Connecticut?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.