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Data Operations Jobs in Connecticut (NOW HIRING)

Gartner

Software Engineer MDM (ETL)

Stamford, CT · Hybrid

Engage in day-to-day data operations involving troubleshooting data pipelines and monitoring and maintaining job schedules. * Conduct thorough code reviews, ensuring adherence to coding standards and ...

Gartner

Software Engineer MDM (ETL)

Stamford, CT · Hybrid

Engage in day-to-day data operations involving troubleshooting data pipelines and monitoring and maintaining job schedules. * Conduct thorough code reviews, ensuring adherence to coding standards and ...

Customer Operations

Data Analyst

Stamford, CT · Hybrid

Interpret data and analyze results to provide insights on operational impact, trends and opportunities * Develop reports and deliverables for management and communicate findings to stakeholders

Customer Operations

Senior Data Analyst

Stamford, CT · Hybrid

$91K - $115K/yr

Lead advanced analysis that informs strategic priorities, improves operational performance, and strengthens customer service reliability * Turn complex data into clear, actionable insights that help ...

Novocure Inc

Data Architect

New Haven, CT

$64 - $82.50/hr

Your work will help establish trusted data foundations that support business operations, regulatory requirements, advanced analytics, and future AI initiatives. The ideal candidate has experience ...

Novocure

Data Architect

New Haven, CT · On-site

$64 - $82.50/hr

Your work will help establish trusted data foundations that support business operations, regulatory requirements, advanced analytics, and future AI initiatives. The ideal candidate has experience ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $136K/yr

Build programmatic and data-driven solutions to enhance Operational Technology, digital manufacturing, and Industry 4.0 initiatives across the organization Implement and maintain strong data ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $137K/yr

Build programmatic and data-driven solutions to enhance Operational Technology, digital manufacturing, and Industry 4.0 initiatives across the organization. * Implement and maintain strong data ...

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All JobsData Operations JobsData Operations Jobs in Connecticut

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:
Data Operations jobs near you
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 Movement Engineer (Snowflake) - Contractor

Knights of Columbus - Council 11091

New Haven, CT • On-site

$115K - $138K/yr

Full-time

Posted 9 days ago

Job description

Feel Good About Doing Good
The Knights of Columbus is a tax-exempt Catholic fraternal benefit society that provides financial security to members and their families through our life insurance, long-term care insurance, disability income insurance, investment and annuity products. Charity is at the core of our missions: our profits are donated to help those in need and to support our faith - $1.73B over the past ten years.
While we have many employees who are not Catholic, we follow the Church's teachings in our investment strategies and our employee benefits. As part of our religious mission, we support the pro-life cause by contributing to the March for Life and pregnancy resource centers, we oppose assisted suicide and euthanasia, we are evangelists for the Catholic faith, and we help Christians who are facing religious persecution in the Middle East. We all work together to support our two million members as they volunteer to help others in their parishes and communities around the world.
Share Your Talent. Live Your Purpose.
We are a growing and purpose-driven community of professionals. Join us to discover how you can meet your goals and ours!
#LI-Hybrid
Overview
The Knights of Columbus is embarking on the modernization of its core data platforms. We are currently seeking a Data Movement Engineer who can provide production support to our existing and future ETL environments. This role will also lead the design, optimization, and support framework of Snowflake-based data solutions. The ideal candidate will possess strong technical expertise in Snowflake, data warehousing methodologies like Data Vault 2.0, and be comfortable leading complex projects and mentoring team members.
Core Responsibilities
  • Manage the full lifecycle of Snowflake data operations, including monitoring, troubleshooting, and optimizing data pipelines.
  • Proactively identify and resolve issues related to data integrity, latency, and pipeline failures to maintain smooth operations.
  • Translate stakeholder requirements into Snowflake-specific solutions for data movement.
  • Develop and optimize SQL queries, warehouse configurations, and data models for performance, reliability, and scalability.
  • Design, develop, and optimize Snowflake data pipelines and models.
  • Recommend and implement best practices for data ingestion, transformation, storage, security and data modeling.
  • Support advanced features like Change Data Capture (CDC) and Slowly Changing Dimensions (SCD Type 2).
  • Support frameworks like Data Vault and dimensional modeling in Snowflake.
  • Monitor and troubleshoot data pipeline failures and performance issues in ETL and Snowflake environments.
  • Thoroughly test all production solutions prior to implementation.
  • Perform root cause analysis of data discrepancies, latency, and integrity issues.
  • Provide production support for IBM DB2, Snowflake, and orchestration tools (Airflow, ESP).
  • Collaborate with other teams to implement fixes and preventive measures.
  • Perform data quality analysis, report issues, and propose solutions.
  • Ensure data accuracy, completeness, and consistency across systems.
  • Implement validation and reconciliation checks within pipelines.
  • Support data governance initiatives including metadata management and lineage tracking.
  • Lead the design, development, and maintenance of Snowflake processes.
  • Provide technical leadership, code reviews, and mentorship to junior developers.
  • Coordinate with business stakeholders, data architects, and application teams to gather requirements and deliver solutions.
  • Communicate issue status, impact, and resolution timelines effectively.
  • Maintain comprehensive documentation for all Snowflake-related issues, fixes, and scripts, ensuring they are version-controlled and aligned with data architecture and security standards.
  • Develop and maintain production support playbooks and detailed ticket resolution procedures to enable consistent and efficient incident handling.
  • Prepare effort estimations and contribute to architectural decisions.
  • Provide regular updates and reports on issue trends and improvement initiatives.
  • On-call and/or after-hours work required.

Skills Qualifications
  • Minimum of 5 years of relevant experience in data warehousing, business intelligence tools, and data analysis.
  • Minimum of 3 years of SQL query development across multiple database platforms (Snowflake, Oracle, SQL Server, DB2).
  • Strong expertise in Snowflake (development, data modeling, security). Snowflake certification preferred.
  • Strong proficiency in SQL and scripting languages (e.g., Python, Shell).
  • Experience with cloud database technologies.
  • Familiarity with orchestration tools (ESP, Airflow) and version control systems (Git).
  • Experience with incident management tools (e.g., ServiceNow, Jira) and CI/CD practices.
  • Expertise in CDC and SCD Type 2 implementations using SQL.
  • Solid understanding of data architecture, dimensional modeling, and frameworks like Data Vault.
  • Ability to solve problems using analytical thinking skills.
  • Must work well independently and be inquisitive.
  • Strong organizational and time management skills.

Education
  • Bachelor's degree in computer science, Information Systems, or related field.
  • 5+ years of experience in Snowflake development and data warehousing.

Physical Demands
Must be able to remain in a stationary position for a majority of the workday.

Apply