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Associate Operations Engineer Jobs in Connecticut

Customer Operations

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Bachelor's degree in computer science, statistics, operations research or equivalent combination of ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

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How much do associate operations engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for associate operations engineer in Connecticut is $24.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $28.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate operations engineer?

To thrive as an Associate Operations Engineer, you need a solid background in systems administration, troubleshooting, and IT fundamentals, often supported by a relevant degree or certifications like CompTIA A+ or Network+. Familiarity with monitoring tools, ticketing systems, cloud platforms, and scripting languages such as Python or Bash is commonly required. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills in this role. These skills and qualities are essential for ensuring system reliability, efficient incident response, and seamless collaboration within IT operations teams.

What is an associate operations engineer?

Associate Operations Engineers are entry-level professionals who support the management, maintenance, and optimization of an organization's IT infrastructure and operational systems. They assist in monitoring system performance, troubleshooting technical issues, implementing operational processes, and ensuring high system availability. These engineers often work under the guidance of senior operations staff and may collaborate with other IT teams to support daily business operations. Their role is crucial in maintaining the smooth functioning of technology services within an organization.

What are some common challenges faced by associate operations engineers during their first year on the job?

Associate Operations Engineers often encounter challenges like adapting to complex IT systems, managing incident response under tight deadlines, and learning to prioritize tasks effectively. Navigating various tools and collaborating with cross-functional teams can also feel overwhelming initially. However, most organizations provide structured onboarding, mentorship, and training to help new hires build confidence and technical proficiency. Developing strong communication skills and proactively seeking feedback can ease the transition and set the foundation for career growth.

What are popular job titles related to Associate Operations Engineer jobs in Connecticut?

For Associate Operations Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Associate Operations Engineer jobs in Connecticut look for?

The top searched job categories for Associate Operations Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Associate Operations Engineer jobs?

Cities in Connecticut with the most Associate Operations Engineer job openings:

Associate Operations Engineer jobs near you
Infographic showing various Associate Operations Engineer job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 2% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $51,929 per year, or $25 per hour.

Associate Data Scientist

Customer Operations

Stamford, CT • Hybrid

$62K - $63K/yr

Full-time

Posted 5 days ago

Job description

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Curious about how data shapes business decisions and drives innovation? Join Spectrum as an Associate Data Scientist and help uncover insights that solve real business challenges. Collaborate with experienced data scientists, sharpen your technical skills and learn to communicate complex ideas effectively. Your work will directly support Spectrum’s mission to deliver impactful, data-driven solutions.

This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week.


How You’ll Make an Impact

  • Support the end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of business impact
  • Partner with cross-functional teams to implement models in production and conduct post-launch testing and enhancements.
  • Assist in cleaning, aggregating and analyzing large data sets to generate actionable insights
  • Collaborate with stakeholders to identify opportunities for business improvement using statistical and analytical methods
  • Help design and implement statistical data quality procedures for new and existing data sources
  • Contribute to communicating data science concepts and solutions clearly to team members and business leaders
  • Establish connections across data sources and identify new, meaningful data relationships
  • Aid in presenting findings and recommendations to key stakeholders while ensuring project goals are met on time

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 0-3 years of experience in data analytics
  • 0-2 years of programming experience

Skills

  • Basic experience developing Logistic Regression, Random Forest, and XGBoost models in Python
  • Interpersonal, verbal and written communication skills with a focus on teamwork
  • Minimal experience with analytical and statistical software
  • Basic SQL skills
  • Strong analytical and problem-solving abilities with attention to detail and data accuracy
  • Ability to perform thorough research and analysis
  • Commitment to confidentiality and proper handling of sensitive information
  • Knowledge of computer science principles such as algorithms, data structures and design methodologies

Preferred Qualifications

Experience

  • Internship experience in a data scientist role

#LI-JV1
BDA302 2026-79974 2026
Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.

Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Qualifications:

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 0-3 years of experience in data analytics
  • 0-2 years of programming experience

Skills

  • Basic experience developing Logistic Regression, Random Forest, and XGBoost models in Python
  • Interpersonal, verbal and written communication skills with a focus on teamwork
  • Minimal experience with analytical and statistical software
  • Basic SQL skills
  • Strong analytical and problem-solving abilities with attention to detail and data accuracy
  • Ability to perform thorough research and analysis
  • Commitment to confidentiality and proper handling of sensitive information
  • Knowledge of computer science principles such as algorithms, data structures and design methodologies

Preferred Qualifications

Experience

  • Internship experience in a data scientist role
Employment Type: Full Time

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