Data Analytics Engineer Visa Sponsorship Jobs in Connecticut
Connecticut's data analytics engineer job market is anchored by insurance and financial services giants like Cigna, Aetna, and Hartford Financial Services, along with major defense contractors in Groton and Stratford. Hartford and Stamford lead for sponsorship opportunities, with biotech and pharma firms in New Haven adding steady demand for analytics engineering talent.
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Get Access To All JobsABOUT ALTUS POWER
Altus Power is a leading U.S. clean power company, driving the commercial-scale solar economy through a fully integrated platform that invests in, constructs, develops, finances, owns and operates renewable energy infrastructure. With over 1.37 GW of operating assets across 30 states, we’re delivering innovative, high-impact energy solutions to Fortune 1000 companies, financial institutions, households, municipalities and more.
A portfolio company of TPG Rise Climate and backed by financial partners like Blackstone and Goldman Sachs, we’re built for scale, accelerating the shift to reliable, local clean power for communities and businesses nationwide. Headquartered in Stamford, Conn. - just a short train ride from New York City - we offer a fast-paced, collaborative environment where passionate, mission-driven professionals come together to power a cleaner future. We lead with vision. We act with purpose. And we’re looking for smart, driven people ready to help power what comes next.
ABOUT THE POSITION
Altus Power is currently seeking a highly motivated individual with the skills, experience, and aptitude to join our team as a Production Engineer.
Responsibilities:
- Responsible for extracting data from our DAS Provider, data validation, performance reporting and analysis, periodic system assessment, and project onboarding.
- Perform DAS software set up and programming in conjunction with EOMs/EOTs and DAS Provider
- Responsible for carrying out performance testing (i.e., Capacity Test) on new projects
- Monitoring and diagnostic support for EOMs
- Identify operational issues and initiate problem resolution with EOMs
- Calculate and analyze energy losses incurred from equipment outages
- Provide data to the Customer Service Team for reporting
- Assist and support in data analytics based on performance needs
QUALIFICATIONS / DESIRED SKILLS
- Bachelor’s degree in engineering, math, physics, or electrical engineering. Graduate degree a bonus but not required
- Three to four years of experience with production analytics, performance testing and system assessments of energy assets required
- Ability to work independently as well as cross-functionally with key stakeholders
- Flexibility and adaptability in changing priorities and assignments while managing rapidly changing information
- Strong data analysis and problem-solving skills
- Ability to work with data in various formats
- Self-starter, strong initiatives, and an excellent communicator
- System and product level mindset
- Organization, detailed-oriented nature, and strong initiative
WORK LIFE AT ALTUS
Our team is the asset we are most proud of. We aim to create a positive work-life balance. Here are a few of the benefits we offer:
- Competitive compensation
- Health and Dental Insurance (100% of premium paid of Company’s standard policy)
- Participation in 401k Plan
- Paid cell phone service on Company’s plan
- Company paid lunch in the office
- Company paid membership to building gym
- Two monthly work from home days
Altus is unequivocally committed to the principles of equal employment.
ABOUT ALTUS POWER
Altus Power is a leading U.S. clean power company, driving the commercial-scale solar economy through a fully integrated platform that invests in, constructs, develops, finances, owns and operates renewable energy infrastructure. With over 1.37 GW of operating assets across 30 states, we’re delivering innovative, high-impact energy solutions to Fortune 1000 companies, financial institutions, households, municipalities and more.
A portfolio company of TPG Rise Climate and backed by financial partners like Blackstone and Goldman Sachs, we’re built for scale, accelerating the shift to reliable, local clean power for communities and businesses nationwide. Headquartered in Stamford, Conn. - just a short train ride from New York City - we offer a fast-paced, collaborative environment where passionate, mission-driven professionals come together to power a cleaner future. We lead with vision. We act with purpose. And we’re looking for smart, driven people ready to help power what comes next.
ABOUT THE POSITION
Altus Power is currently seeking a highly motivated individual with the skills, experience, and aptitude to join our team as a Production Engineer.
Responsibilities:
- Responsible for extracting data from our DAS Provider, data validation, performance reporting and analysis, periodic system assessment, and project onboarding.
- Perform DAS software set up and programming in conjunction with EOMs/EOTs and DAS Provider
- Responsible for carrying out performance testing (i.e., Capacity Test) on new projects
- Monitoring and diagnostic support for EOMs
- Identify operational issues and initiate problem resolution with EOMs
- Calculate and analyze energy losses incurred from equipment outages
- Provide data to the Customer Service Team for reporting
- Assist and support in data analytics based on performance needs
QUALIFICATIONS / DESIRED SKILLS
- Bachelor’s degree in engineering, math, physics, or electrical engineering. Graduate degree a bonus but not required
- Three to four years of experience with production analytics, performance testing and system assessments of energy assets required
- Ability to work independently as well as cross-functionally with key stakeholders
- Flexibility and adaptability in changing priorities and assignments while managing rapidly changing information
- Strong data analysis and problem-solving skills
- Ability to work with data in various formats
- Self-starter, strong initiatives, and an excellent communicator
- System and product level mindset
- Organization, detailed-oriented nature, and strong initiative
WORK LIFE AT ALTUS
Our team is the asset we are most proud of. We aim to create a positive work-life balance. Here are a few of the benefits we offer:
- Competitive compensation
- Health and Dental Insurance (100% of premium paid of Company’s standard policy)
- Participation in 401k Plan
- Paid cell phone service on Company’s plan
- Company paid lunch in the office
- Company paid membership to building gym
- Two monthly work from home days
Altus is unequivocally committed to the principles of equal employment.
Data Analytics Engineer Job Roles in Connecticut
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Search Data Analytics Engineer Jobs in ConnecticutData Analytics Engineer Jobs in Connecticut: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in Connecticut?
Insurance and financial services companies are among the most active sponsors for data analytics engineers in Connecticut. Cigna, Aetna, and Hartford Financial Services have consistent H-1B filing histories for data and analytics roles. Defense contractors like Sikorsky and Electric Boat also hire in this space. Bioscience employers around New Haven, including those connected to Yale's research ecosystem, round out the sponsoring employer pool.
Which visa types are most common for data analytics engineer roles in Connecticut?
The H-1B is the most common visa category for data analytics engineers in Connecticut. The role typically qualifies as a specialty occupation because it requires at least a bachelor's degree in computer science, statistics, or a related field. Candidates already on F-1 OPT or STEM OPT extension can work for a sponsoring employer before the H-1B petition is filed. The O-1A is an option for candidates with a strong record of technical recognition or significant published work.
Which cities in Connecticut have the most data analytics engineer sponsorship jobs?
Hartford and Stamford are the primary hiring centers for data analytics engineers in Connecticut. Hartford's concentration of insurance carriers and financial services firms drives consistent demand for analytics engineering talent. Stamford attracts hedge funds, media companies, and financial technology employers. New Haven has a growing presence anchored by Yale University and affiliated biotech firms. Greenwich also sees demand from investment management and private equity employers with data infrastructure needs.
How to find data analytics engineer visa sponsorship jobs in Connecticut?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and filters jobs by role and state, making it straightforward to browse data analytics engineer openings in Connecticut without sifting through listings from employers who don't sponsor. Focusing on Hartford and Stamford employers in insurance, financial services, and fintech will surface the highest concentration of sponsoring companies for this role in the state.
Are there state-specific factors that affect data analytics engineer sponsorship in Connecticut?
Connecticut's insurance industry is regulated at the state level, which creates sustained demand for data analytics engineers who can work with compliance and actuarial data systems. The state also has a high cost of living relative to national averages, which influences prevailing wage determinations that employers must certify when filing an LCA for H-1B petitions. Candidates connected to UConn or Yale graduate programs often enter the Connecticut market through university-affiliated hiring pipelines with employers already familiar with sponsorship.
What is the prevailing wage for sponsored data analytics 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.
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