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Manager Data Analytics Engineer Jobs in Manchester, CT

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Analytical ability to manage multiple projects and prioritize tasks into manageable work products ... As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ...

Data Engineer II

Hartford, CT · On-site

$115K - $138K/yr

Analytical ability to manage multiple projects and prioritize tasks into manageable work products ... As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ...

Actively completing a bachelor's degree in data Analytics, Data Science, Computer Engineering, Computer Science, Information Systems, Mathematics, Statistics, or a related program. * Minimum 3.0 GPA ...

Actively completing a bachelor's degree in data Analytics, Data Science, Computer Engineering, Computer Science, Information Systems, Mathematics, Statistics, or a related program. * Minimum 3.0 GPA ...

Data Engineer I

Hartford, CT · On-site

$109K - $180K/yr

... analytical processes. * Incorporate core data management competencies including data governance ... engineering practices. The ability to deliver work at a steady, predictable pace to achieve ...

Showing results 41-60

Manager Data Analytics Engineer information

See Manchester, CT salary details

$44.9K

$131K

$179.3K

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

As of Sep 15, 2026, the average yearly pay for manager data analytics engineer in Manchester, CT is $131,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,900.00 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 popular job titles related to Manager Data Analytics Engineer jobs in Manchester, CT?

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

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

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

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

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

Manager, Data Architecture and Strategy (Hybrid)

Berlin, CT • Hybrid

Eversource Energy
Utilities • 5 - 10K employees

Full-time

Posted 5 days ago


Eversource Energy rating

8.7

Company rating: 8.7 out of 10

Based on 68 frontline employees who took The Breakroom Quiz


Job description

Eversource will not offer immigration-related sponsorship for this position (e.g., H-1B, O-1, J-1, TN, E-3, etc.). Applicants requiring visa sponsorship to start employment with Eversource will not be considered.

Eversource supports work-life balance by offering hybrid schedules for certain roles. Eligibility is based on job responsibilities, operational needs, nature ofworkand team dynamics. Current guidelines require employees to workat least three days in the office, includingTuesdays and Wednesdays, with the third day set by the employee and supervisor based on department needs. These guidelines apply to roles approved for remote work and are subject tochange, basedon managerial discretion and work performance. All applicants must be able toworkup to five days in the office if needed (for example: emergencies, training, or other business needs) or should the policy change.


The Data Architecture Manager leads the design, governance, and evolution of enterprise data architecture to enable scalable, reliable, and business-aligned data solutions. This role is accountable for the success of the enterprise data platform, ensuring data is structured, integrated, and accessible to drive analytics and decision-making. The manager oversees enterprise data architecture design, establishes and matures the enterprise data modeling practice, defines and enforces data domain standards, and ensures alignment with the broader enterprise architecture strategy and governance processes.

Essential Functions:

  • Provide subject matter expertise on enterprise data management and analytics leading practices and ensure data assets are developed and delivered to meet business needs.

  • Lead data architecture design and enable industry leading data engineering solutions and tools to help democratize data access across Eversource and enable AI/ML for business.

  • Provide oversight to the data engineering teams, ensuring that data pipelines, transformations, and integrations are executed to align with the overall data architecture and governance framework.

  • Enforce data governance processes and tools to simplify data access while ensuring data quality, literacy, and security.

  • Collaborate with Enterprise and Solution Architects to ensure that Customer initiatives adhere to established data architecture principles and practices.

  • Lead the design and implementation of enterprise data architecture for scalable, high-performing data solutions.

  • Own and drive the overall success of the enterprise data platform, including performance, scalability, reliability, and maintainability.

  • Own and drive the roadmap of the enterprise data platform, always collaborating with the data managers and stakeholders to ensure it meets business needs.

  • Partner with business stakeholders, product teams, and engineering to translate business needs into effective data architecture solutions.

  • Establish, evolve, and manage the enterprise data modeling practice, including conceptual, logical, and physical data models.

  • Define and enforce enterprise data standards across domains, including data modeling, integration patterns, metadata, and governance practices.

  • Ensure consistency, reuse, and interoperability of data assets across the enterprise.

  • Collaborate with Enterprise and Solution Architects to align data architecture strategies and solutions with the enterprise architecture framework, standards, and roadmaps.

  • Participate in architecture governance processes, including design reviews and strategic planning forums.

  • Provide leadership, mentorship, and direction to data architects and related roles, drive ongoing learning to stay ahead of latest trends.

  • Drive adoption of architectural best practices and promote a culture of accountability and continuous improvement.

  • Identify and mitigate architectural risks and ensure long-term sustainability of data solutions

Technical Knowledge/Skill/Education/Licenses/Certifications:

Technical Knowledge/Skill:

  • Deep understanding of modern data architecture patterns (data lake, lake house, data warehouse, data mesh, medallion architecture)

  • Ability to design scalable, secure and high-performing data ecosystems across structured and unstructured data.

  • Expertise in conceptual, logical and physical data modeling

  • Knowledge of integration patterns (CDC, streaming, APIs, event-driven architecture)

  • Familiarity with tools such as Fivetran, informatica, MuleSoft, or similar platforms

  • Experience with Databricks (preferred), Snowflake or similar analytics engines

  • Understanding of storage, compute and cost optimization strategies (FinOps awareness)

  • Strong data management and data governance capabilities, including expertise in cataloging, data classifications, compliance, access control, and other related areas.

  • Experience working with sensitive data and ensuring compliance with enterprise and regulatory requirements.

  • Understanding of enterprise architecture frameworks (e.g., TOGAF) and ability to align data architecture with application, integration and infrastructure strategies.

  • Experience designing for performance at scale, including query optimization and workload management while having a strong IT knowledge base to effectively collaborate with IT Leaders

  • Understanding of how data architecture supports analytics, machine learning, and AI use cases.

  • Experience with CI/CD for data pipelines and infrastructure-as-code concepts

  • Knowledge of data observability, monitoring, and alerting practices

  • Experience implementing data quality checks and reliability frameworks.

  • Intermediate proficiency in standardized data analysis and analytics programming languages such as SQL, Python, PySpark, and Scala, with a focus on their application in data management and analytics workflows.

  • Familiarity with architectural design patterns, including centralized, decentralized, and distributed approaches, and the ability to apply this knowledge to optimize data management and analytics operations.

  • Familiarity with cloud-based data management and analytics platforms, with a preference for experience working with Azure cloud services such as Azure Purview and Azure Data Factory.

Education:

  • Bachelor's degree in information technology or services, related discipline, or equivalent experience in leu of having a degree.

  • Master's degree a plus but not required.

Experience:

  • Ten plus years of experience in an IT-related field.

  • Three plus years of experience building, managing and leading teams.

  • Distributed delivery experience on large programs.

  • Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure, or Google Cloud).

  • Experience in data analysis, data modeling, and data visualization, gained through coursework, internships, or previous work experience.

  • Experience in data governance policies, rules, and processes to ensure accurate, complete, and consistent data across the organization.

  • Ability to understand the business definition of Customer data and how specific business metrics are calculated from specified data sources.

  • Ability to effectively collaborate with the business, technology, and BI leaders; drive change adoption by developing a pull not a push.

  • Strong presentation and communication skills and ability to effectively communicate at all levels of the organization.

  • Strong understanding of the financial and regulatory environment in the Utilities industry, and ability to facilitate work across these areas.

Licenses & Certifications:

  • Certification in one or more cloud platforms (AWS, Azure, GCP).

  • Certification in Agile practices is a plus (SAFe Agilist / Leading SAFe).

Working Conditions:

  • Must be available to work emergency restoration assignment as required.

  • Must be available to travel between MA/CT/NH as necessary.

#corpajd

#LI-ES3

#LI-Hybrid

Competencies:

Build trusting relationships

Manage and develop people

Foster teamwork and cross-functional collaboration

Lead change

Communicate strategic vision

Create an engaged workforce

Focus on the customer

Take ownership & accountability

Compensation and Benefits:

Eversource offers a competitive total rewards program.Check out our careers site for an overview of our benefits programs. Salary is commensurate with your experience. This position is eligible for a potential incentive. The annual salary range for this position is:

$170,500.00-$189,440.00

Worker Type:

Regular

Number of Openings:

1

Emergency Response:

Responding to emergency situations to meet customers' needs is part of every employee's role. If employed, you will be given an Emergency Restoration assignment. This means you may be called to assist during an emergency outside of your normal responsibilities, work hours and location.


EEO Statement:

Eversource Energy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, sexual orientation, gender identity, national origin, religion, disability status, or protected veteran status.


VEVRRA Federal Contractor



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