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Data Operations Jobs in Connecticut (NOW HIRING)

Data Solutions Director

Norwalk, CT · On-site

$150K - $200K/yr

Collaborate with cross-functional teams (operations, offshore, tech, business) to ensure smooth data flow and issue resolution. * Contribute to the development of tools and templates that enhance ...

Collaborate with cross-functional teams (operations, offshore, tech, business) to ensure smooth data flow and issue resolution. * Contribute to the development of tools and templates that enhance ...

Collaborate with cross-functional teams (operations, offshore, tech, business) to ensure smooth data flow and issue resolution. * Contribute to the development of tools and templates that enhance ...

Data Solutions, a unit of Aon's Talent Solutions North America practice, is seeking a Director to help build and grow our Consulting & Professional Services sector within our talent data solutions ...

Data Solutions, a unit of Aon's Talent Solutions North America practice, is seeking a Director to help build and grow our Consulting & Professional Services sector within our talent data solutions ...

Data Solutions, a unit of Aon's Talent Solutions North America practice, is seeking a Director to help build and grow our Consulting & Professional Services sector within our talent data solutions ...

Snowflake Engineer

New Haven, CT · On-site +1

$115K - $138K/yr

Manage the full lifecycle of Snowflake data operations, including monitoring, troubleshooting, performance tuning, and optimization of data pipelines. * Design, develop, and maintain scalable ...

Snowflake Developer

New Haven, CT · On-site +1

$115K - $138K/yr

Core Responsibilities · Manage the full lifecycle of Snowflake data operations, including monitoring, troubleshooting, and optimizing data pipelines. · Design, develop, and optimize Snowflake data ...

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Showing results 1-20

Data Operations information

See Connecticut salary details

$49.5K

$122.3K

$190.3K

How much do data operations jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data operations in Connecticut is $122,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $155,500.00 per year, depending on experience, location, and employer.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, investment bankers, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes significant risk or ownership stakes.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and data quality standards to support analytics and decision-making processes.

Is 30 too late for data science?

Data operations roles often value relevant skills and experience over age, and many professionals transition into data science at various stages of their careers. While some roles may prefer candidates with recent technical training or certifications, age is generally not a barrier if you develop strong analytical, programming, and data management skills. Continuous learning and practical experience can help you succeed regardless of age.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What jobs pay 200,000 a year in the USA?

In data operations, senior roles such as Data Operations Managers, Data Architects, and Data Engineering Directors can earn $200,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, or cloud platforms, and leadership responsibilities. These positions often require a strong understanding of data management, analytics, and sometimes certifications like CDMP or AWS certifications.
What are the most commonly searched types of Data Operations jobs in Connecticut? The most popular types of Data Operations jobs in Connecticut are:
What are popular job titles related to Data Operations jobs in Connecticut? For Data Operations jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in Connecticut look for? The top searched job categories for Data Operations jobs in Connecticut are:
What cities in Connecticut are hiring for Data Operations jobs? Cities in Connecticut with the most Data Operations job openings:
Infographic showing various Data Operations job openings in Connecticut as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,265 per year, or $58.8 per hour.
Data Operations Engineer (USA)

Data Operations Engineer (USA)

Trexquant Investment

Stamford, CT • On-site

$74K - $100K/yr

Full-time

Medical, Dental, Vision

Posted 3 days ago


Job description

Trexquant is a growing systematic fund manager with a core team of highly accomplished technologists. We are currently seeking an enthusiastic and skilled Data Operations Engineer with a strong operational focus to join our team. As a Data Operations Engineer, you will play a crucial role in monitoring and optimizing our trading processes, enhancing our development and deployment processes, and contributing to the overall efficiency and success of our operations. If you are passionate about optimizing operational workflows, ensuring system reliability, and driving continuous improvement, we encourage you to apply.
Responsibilities:
(1) Operational Monitoring and Troubleshooting:
  • Collaborate with teams to establish robust monitoring and alerting systems that provide real-time insights into the trading process status.
  • Take a proactive approach to monitoring, promptly identifying and resolving operational issues to minimize downtime and disruptions.

(2) Continuous Integration and Deployment:
  • Develop, enhance, and maintain pipelines dedicated to facilitating data/alpha/strategy generation, testing, and deployment procedures.
  • Foster close collaboration with research teams to ensure the smooth deployment of scripts, promoting seamless integration of research findings into practical applications.

(3) Quality Control and Assurance:
  • Establish and sustain quality control measures to ensure the consistency and robustness of scripts and applications.
  • Conduct regular inspections and audits of production lines to identify and rectify any quality-related issues promptly.

(4) Continuous Improvement Initiatives:
  • Identify opportunities for continuous improvement within the production process, driven by data analysis and performance metrics.
  • Lead or contribute to cross-functional improvement projects aimed at enhancing production efficiency and increasing overall output.

(5) Documentation and Reporting:
  • Maintain accurate records of production processes, performance metrics, and quality control data.
  • Generate regular reports and provide insights to management on production performance, trends, and improvement initiatives.

Requirements
  • Strong working knowledge of Python and Linux is a must.
  • Experience working with SQL is an advantage.
  • Prior development experience in fault-tolerant distributed or data intensive applications is a plus.
  • Process-driven with strong attention to detail.
  • Ability and willingness to adapt to new challenges in a dynamic environment with shifting priorities.
  • Background in Computer Science, Engineering or a related field.

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.

Trexquant is an Equal Opportunity Employer