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Manager Data Analytics Engineer Jobs in Hartford, CT

Sr..Data Analyst/SAS Reporting

Hartford, CT · On-site

$86K - $109K/yr

Required : • Functional - Information Management - Query and Database Access Tools/4-6 Years • ... Company : Keylent provides Software Development Services in the Cloud, Analytics and Digital ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

... analytics implementation in the insurance domain; Applied knowledge of data management practices, processes, and tools; Demonstrated experience in Data Architecture, Data Modeling, Data Engineering ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Lead small engagements or key workstreams within large, complex data and analytics transformations ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Exceptional organizational skills with the ability to multi-task and manage multiple processes ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

Data Governance- Manager

Hartford, CT · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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Manager Data Analytics Engineer information

See Hartford, CT salary details

$44.9K

$130.8K

$179K

How much do manager data analytics engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for manager data analytics engineer in Hartford, CT is $130,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Hartford, CT?

The most popular types of Data Analytics Engineer jobs in Hartford, CT are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Hartford, CT?

For Manager Data Analytics Engineer jobs in Hartford, CT, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Hartford, CT look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Hartford, CT are:

What cities near Hartford, CT are hiring for Manager Data Analytics Engineer jobs?

Cities near Hartford, CT with the most Manager Data Analytics Engineer job openings:

Manager - Data & AI Solutions Engineering

Wallingford, CT • On-site

$114K - $137K/yr

Other

Posted 4 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.