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Manager Data Engineering Jobs in Wilton, CT (NOW HIRING)

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 · Hybrid

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring ...

Pwc

Data Engineer - Senior Manager

Melville, NY

$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 ...

AEG

Data Engineer

White Plains, NY · On-site

$118K - $142K/yr

Data Engineer Reports to: VP, Data & Business Intelligence Location: White Plains, NY (Hybrid ... engineering work visible, scoped and prioritized alongside analytics and CRM WHAT YOU WILL BRING

New York Blood Center Inc

Senior Data Engineer

Rye, NY

$127K - $137K/yr

Data governance frameworks--metadata management, lineage, cataloging, access control, and regulatory compliance (HIPAA). * Agile engineering practices--sprint delivery, DevOps hygiene, CI/CD for data ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY · On-site

$127K - $137K/yr

Data governance frameworks-metadata management, lineage, cataloging, access control, and regulatory compliance (HIPAA). * Agile engineering practices-sprint delivery, DevOps hygiene, CI/CD for data ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY · On-site

$112K - $152K/yr

Data governance frameworks-metadata management, lineage, cataloging, access control, and regulatory compliance (HIPAA). * Agile engineering practices-sprint delivery, DevOps hygiene, CI/CD for data ...

Subway

Data Architect

Shelton, CT

$64 - $82.25/hr

The Senior Data Architect partners closely with Data Engineering, Analytics, Platform, Security ... management and data-contract enforcement as core architecture practices. Serve as the technical ...

Subway

Data Architect

Shelton, CT · On-site

$138K - $172K/yr

The Senior Data Architect partners closely with Data Engineering, Analytics, Platform, Security ... management and data-contract enforcement as core architecture practices. • Serve as the technical ...

Deloitte

Sr Databricks Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology ... Initiate and manage efforts to improve data quality, operational efficiency, and process ...

Pwc

Data Strategy-Manager

Stamford, CT

$99K - $232K/yr

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

Pwc

Data Strategy-Manager

Melville, NY

$99K - $232K/yr

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

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Showing results 21-40

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Wilton, CT

Manager Data Engineering information

See Wilton, CT salary details

$32.1K

$100.6K

$178.2K

How much do manager data engineering jobs pay per year?

As of Sep 2, 2026, the average yearly pay for manager data engineering in Wilton, CT is $100,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $130,000.00 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 cities near Wilton, CT are hiring for Manager Data Engineering jobs?

Cities near Wilton, CT with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Wilton, CT as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $100,620 per year, or $48.4 per hour.

Data Engineer

Berkley

Greenwich, CT • On-site

$128K - $154K/yr

Full-time

Re-posted 25 days ago

Job description

Company Details

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."

Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.

Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.

Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess.  Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.

The Company is an equal employment opportunity employer. 

Responsibilities

We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled workflows.

This role is suited to someone who is technically strong, comfortable working independently, and able to translate complexity into robust, welldesigned systems that others can rely on.

The position emphasizes engineering rigor, highquality code, system reliability, and sound judgment over oneoff solutions or purely mechanical implementations. We seek someone to challenge the status quo and find better ways to build and operate data systems. You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches.

Responsibilities

  • Write productionquality code for data ingestion, transformation, orchestration, and monitoring.
  • Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Sparkbased pipelines).
  • Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
  • Apply AIassisted engineering approaches, including LLMenabled tools or agents, to improve data quality, observability, documentation, and productivity.
  • Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
  • Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
  • Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
  • Communicate system design, tradeoffs, and limitations clearly to technical and nontechnical stakeholders.
  • Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.
Qualifications
  • 4-7 years of relevant data engineering, software engineering, or technical experience. A Master's degree in Data Engineering or Computer Science.
  • Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
  • Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
  • Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
  • Experience applying AI, machine learning, or LLMbased tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
  • Experience working with large or complex data flows and creating defensible system designs and implementation plans.
  • Strong professional judgment, curiosity, and attention to detail.
Sponsorship DetailsSponsorship not Offered for this RoleEmployment Type: OTHER

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