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Remote Big Data Jobs in Connecticut (NOW HIRING)

Sr. Product Owner, Data Science

Hartford, CT · On-site +1

$111K - $166K/yr

Strong understanding of data science methodologies, machine learning algorithms, and big data ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our ...

Data Analyst

Milford, CT · Remote

$22 - $28/hr

Remote (U.S. Based Preferred) Job Type: Part-Time (Flexible Hours) Pay: $22-$28 per hour (based on experience) Company: LT Apparel Group About the Role LT Apparel Group is hiring a remote Data ...

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Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

... big. We call this Top Ambition. We aim to not only excel within our industry but also make a ... This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT.

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 analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Sr. Tax Manager (REMOTE)

Hartford, CT · On-site +1

$134K - $167K/yr

Experience in a Big Four accounting firm or multinational corporate tax department. * Excellent ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT ... Prepare and/or validate external reporting data and analysis including earnings releases, earnings ...

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Remote Big Data information

See Connecticut salary details

$43.8K

$157K

$231.6K

How much do remote big data jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote big data 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 remote big data?

A Remote Big Data job involves working with large datasets, analyzing trends, and optimizing data infrastructure, all while telecommuting. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret complex data. They may work for tech companies, finance, healthcare, or other industries that rely on data insights. A strong background in data engineering, analytics, or machine learning is often required. These roles offer flexibility but demand strong communication and collaboration skills for remote teamwork.

What are the typical daily responsibilities of a remote big data professional?

As a Remote Big Data professional, your daily tasks often include developing, maintaining, and optimizing large-scale data processing pipelines, analyzing datasets to extract insights, and troubleshooting performance issues. You’ll collaborate closely with cross-functional teams—such as data engineers, analysts, and product managers—through virtual meetings and shared documentation tools. Regular responsibilities may also involve implementing data quality standards, ensuring data security, and integrating new data sources. The remote aspect of the role emphasizes self-motivation and clear digital communication to keep projects on track. This position offers a dynamic workday where your contributions directly impact business intelligence and innovation.

What are the key skills and qualifications needed to thrive in the remote big data position?

To excel as a Remote Big Data professional, a solid background in data analysis, distributed computing, and programming languages such as Python, Java, or Scala is essential, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud) as well as relevant certifications can be highly advantageous. Strong problem-solving abilities, self-management, and effective remote communication skills are critical for collaborating with distributed teams. These combined skills enable professionals to efficiently process massive datasets, create scalable solutions, and contribute to data-driven decision-making from a remote environment.

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

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

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

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

What cities in Connecticut are hiring for Remote Big Data jobs?

Cities in Connecticut with the most Remote Big Data job openings:

Infographic showing various Remote Big Data job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $156,979 per year, or $75.5 per hour.

Sr. Product Owner, Data Science

The Hartford

Hartford, CT • On-site, Remote

$111K - $166K/yr

Full-time

Posted 8 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

58th of 313 rated insurance


Job description

Sr. Consultant, Asset Owner - GF07AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

We are seeking a highly experienced and strategic Sr. Product Owner to lead the development and enhancement of our data science products and platforms. This role will bridge the gap between business needs and technical execution, ensuring our data science initiatives deliver maximum value to The Hartford.
Job Responsibilities:

  • Define and communicate the product vision, strategy, and roadmap for data science initiatives, aligning with company-wide goals and stakeholder requirements.
  • Translate complex business problems and user needs into clear, concise, and actionable product requirements and user stories for data scientists and engineers.
  • Prioritize the product backlog based on business value, technical feasibility, and strategic impact, ensuring a continuous delivery of high-value features.
  • Collaborate closely with data scientists, machine learning engineers, and other technical teams throughout the product lifecycle, from ideation to deployment and post-launch analysis.
  • Conduct market research, competitor analysis, and customer feedback analysis to identify opportunities for new data products and enhancements to existing ones.
  • Act as the primary liaison between business stakeholders, data science teams, and other relevant departments, ensuring clear communication and alignment.
  • Define and track key performance indicators (KPIs) for data science products, analyzing performance and iterating based on results.
  • Champion agile methodologies and best practices within the data science product development process.
  • Mentor and guide junior product owners or business analysts on data science projects.
  • Stay abreast of industry trends, emerging technologies, and best practices in data science and product management.


Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related quantitative field; Master's degree preferred.
  • 7+ years of experience in product management, with at least 3 years specifically focused on data science, machine learning, or AI products.
  • Proven track record of successfully launching and managing data-driven products from conception to end-of-life.
  • Strong understanding of data science methodologies, machine learning algorithms, and big data technologies.
  • Experience with agile development methodologies (Scrum, Kanban) and associated tools (Rally).
  • Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Demonstrated ability to influence and lead cross-functional teams without direct authority.
  • Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
  • Experience in the insurance or financial services industry is a significant plus.

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise

Candidate must be authorized to work in the US without company sponsorship.The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$111,200 - $166,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits


What The Hartford employees say

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Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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