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Manager Data Engineering Jobs in Connecticut (NOW HIRING)

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... The position emphasizes engineering rigor, highquality code, system reliability, and sound judgment ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... The position emphasizes engineering rigor, highquality code, system reliability, and sound judgment ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... The position emphasizes engineering rigor, high-quality code, system reliability, and sound ...

Deloitte

Senior Manager Data Lead

Stamford, CT

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring ...

Deloitte

Senior Manager Data Lead

Hartford, CT

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring ...

Pwc

Data Engineer - Senior Manager

Hartford, CT · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Pwc

Data Engineer - Senior Manager

Stamford, CT · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Promote code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value. Qualifications: 5+ years of data engineering ...

The Hartford

GCP Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

This is an opportunity to influence the future of enterprise data platforms while expanding your expertise in cloud engineering, metadata management, governance, and AI-enabled development. This role ...

The Hartford

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

This is an opportunity to influence the future of enterprise data platforms while expanding your expertise in cloud engineering, metadata management, governance, and AI-enabled development. This role ...

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Showing results 21-40

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Connecticut

Manager Data Engineering information

See Connecticut salary details

$29.5K

$92.4K

$163.6K

How much do manager data engineering jobs pay per year?

As of Sep 2, 2026, the average yearly pay for manager data engineering in Connecticut is $92,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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

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

What are popular job titles related to Manager Data Engineering jobs in Connecticut?

For Manager Data Engineering jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Connecticut look for?

The top searched job categories for Manager Data Engineering jobs in Connecticut are:

What cities in Connecticut are hiring for Manager Data Engineering jobs?

Cities in Connecticut with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you

Manager - Data & AI Solutions Engineering

Amphenol

Wallingford, CT • On-site

$114K - $137K/yr

Other

Posted 6 days ago

Job description

Amphenol is one of the largest manufacturers of interconnect products in the world. Founded in 1932, Amphenol designs, manufactures and markets electrical, electronic and fiber optic connectors, interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. Amphenol has been on the forefront of enabling the electronics revolution by driving value through innovation and connecting people and technology. The primary end markets for the company's products are communications and information processing markets, including cable television, cellular telephone and data communication and information processing systems; aerospace and military electronics; and automotive, rail and other transportation and industrial applications. Listed on the NYSE with sales of $23.1 Billion in 2025 and a Fortune 500 company, Amphenol is a top performing company with an unparalleled history of growth. With over 170,000 dedicated employees working in 150 businesses in more than 40 countries, Amphenol has the unique advantage of having both diversified global reach while still being a focused organization. Our focus comes from our entrepreneurial management teams dedicated to specific markets and regions.


Job Title: Manager - Data & AI Solutions Engineering

Location: United States

Department: Internal Audit Department

Reports To: Manager - Data Analytics and Transformation


Overview

We are seeking a highly motivated Data & AI Solutions Engineer to join our Internal Audit department. This role is responsible for designing and building innovative technology solutions that transform the way Internal Audit delivers value across the organization.


Working directly with auditors and business stakeholders, you will develop modern data analytics, AI-powered applications, and intelligent automation solutions that improve audit planning, risk assessment, testing, documentation, and reporting. You will leverage Databricks, Python, cloud technologies, and large language models (LLMs) to create scalable tools that solve real business problems.


The ideal candidate has a strong computer science or software engineering background, enjoys building applications, and is passionate about applying emerging AI technologies to practical business challenges. Curiosity, creativity, and a willingness to experiment with new technologies are just as important as technical expertise.


Why Join Our Team?

Internal Audit is undergoing a technology transformation. Our team is building next-generation solutions using Databricks, AI, large language models, and modern software engineering practices to fundamentally change how audits are performed. You'll have the opportunity to experiment with emerging technologies, rapidly prototype new ideas, and deliver applications that are immediately used by audit teams around the world. If you enjoy building innovative software that solves real business problems, this is an opportunity to help shape the future of Internal Audit.


Key Responsibilities

  • Design, develop, and maintain scalable analytics, automation, and AI solutions that improve Internal Audit processes.
  • Build secure web-based applications and user-friendly tools for auditors.
  • Develop Python applications, APIs, and reusable software components.
  • Implement RAG solutions and intelligent document processing capabilities.
  • Develop LLM-powered applications and agentic workflows.
  • Build scalable data pipelines in Databricks.
  • Partner with auditors to translate business needs into technical solutions.
  • Evaluate emerging AI technologies and prototype new capabilities.
  • Design intuitive dashboards and web interfaces.

Document solutions and provide knowledge transfer.


Apply