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Manager Data Analytics Engineer Jobs in Middlefield, CT

Saksoft

program Manager -Data Analytics

East Hartford, CT · On-site

... engineering teams and leadership Experience 15 years of experience in Data Analytics Data Engineering Program Management Proven experience managing large data modernization migration programs Strong ...

New

Pwc

Data Engineer - Manager

Hartford, CT · On-site

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

Pwc

Data Engineer - Senior Manager

Hartford, CT · On-site

$124K - $280K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Hartford, CT · On-site

$77K - $202K/yr

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

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Middlefield, CT

Manager Data Analytics Engineer information

See Middlefield, CT salary details

$43.4K

$126.6K

$173.3K

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

As of Aug 13, 2026, the average yearly pay for manager data analytics engineer in Middlefield, CT is $126,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $134,200.00 per year, depending on experience, location, and employer.

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.

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 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.
What cities near Middlefield, CT are hiring for Manager Data Analytics Engineer jobs? Cities near Middlefield, CT with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you

program Manager -Data Analytics

Saksoft

East Hartford, CT • On-site

Other

Posted 2 days ago

New

Job description

 

Seasoned Data Modernization Program Manager to lead largescale enterprise data transformation initiatives This role will drive endtoend modernization from legacy platforms eg SSIS SQL Server to modern cloudbased architectures eg Snowflake while acting as the primary interface between business stakeholders data engineering teams and leadership

Experience

15 years of experience in Data  Analytics  Data Engineering  Program Management

Proven experience managing large data modernization  migration programs

Strong experience in Insurance domain PC preferred

Exposure to AIdriven data engineering  automation frameworks

Experience transitioning programs into Managed Services MSM models

Strong program management experience multimillion programs preferred

Proven ability to manage distributed teams onshoreoffshore

Excellent stakeholder management and executive communication

Technical Skills

Strong understanding of

Snowflake data warehousing performance cost optimization

SSIS  legacy ETL platforms

Data migration frameworks and tools

Exposure to

Cloud platforms Azure  AWS

ELTETL orchestration data pipelines CICD

Data quality governance and validation frameworks

Key Responsibilities

Program Delivery  Execution

Lead endtoend delivery of data modernization programs  discovery design migration validation and stabilization

Drive execution across multiple pods and crossfunctional teams onshoreoffshore

Ensure adherence to timelines quality benchmarks and cost functions

Act as a technical mentor for teams in the program

Drive strategic conversations with the customer

Data Modernization  Architecture Oversight

Provide strong oversight on data architecture migration approach and targetstate design

Drive transformation from legacy ETL SSIS to modern cloudbased data platforms Snowflake

Ensure data quality validation reconciliation and downstream system alignment

Stakeholder  Business Engagement

Act as the primary point of contact POC for business client stakeholders and leadership

Drive requirement alignment with business domains and downstream

Lead governance forums Executive Program Reviews WSR budgeting MOC

Governance Risk  Compliance

Establish strong program governance reporting cadence and escalation management

Identify and mitigate risks related to data migration downstream integration and performance

Ensure compliance with regulatory audit and data governance standards

Practice Leadership  Solutioning

Act as data practice anchor for the account

Support solutioning estimations and SOW development for supplemental data programs

Drive standardization best practices and continuous improvement

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