Top 14 Data engineer Jobs in Shelton, Ct

Principal Data Architect and Engineer
HomeServe USA —Norwalk, CT
- $125,932.60 - $167,910.13 a year
- Computer Science
- Bachelor of Science
- DevOps
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Sr Data Engineer
Subway —Shelton, CT
- $119,200 - $149,000 a year
- Azure
- Computer Science
- DevOps
- 401(k)
- Tuition reimbursement
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Senior Data Engineer
Dynata —Westport, CT
- $130,000 - $150,000 a year
- Full-time
- Remote
- 6 years
- Computer Science
- SQL
- Health insurance
1d
Sr. Data Engineer
Subway —Shelton, CT
- $119,200 - $149,000 a year
- Azure
- Computer Science
- DevOps
- 401(k)
- Tuition reimbursement
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Data Center Engineer / Project Coordinator
PGTEK —Shelton, CT
- $115,000 - $145,000 a year
- Full-time
- Mid-level
- Organizational skills
- Communication skills
- Health savings account
- Disability insurance
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Lead Data Product Engineer
Tauck —Wilton, CT
- 5 years
- System design
- SQL
Data Engineer Lead- PMS & QA
CooperSurgical —Trumbull, CT
- $120,000 - $160,000 a year
- Full-time
- Remote
- Databases
- In-person
- Senior level
- Health insurance
- Paid time off
Building Automation & Data Systems Engineer
Yale University —New Haven, CT
- $82,000 - $131,500 a year
- Full-time
- Background check
- Microsoft Excel
- 5 years
AD, Principal Clinical Data Engineer
BI Pharmaceuticals, Inc. —Ridgefield, CT
- Full-time
- Computer Science
- English
- 3 years

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Principal Data Architect and Engineer

HomeServe USA -
Norwalk, CT

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Job Details

$125,932.60 - $167,910.13 a year

Qualifications

Data integrity assurance
Continuous Delivery (CD) implementation
Data validation techniques
Team leadership
Production systems
Bachelor's degree
DevOps automation

Full Job Description

Position Overview:

The Principal Data Architect/Engineer will lead the design, development, and evolution of HomeServe’s metadata-driven AWS Lakehouse platform, combining strategic architecture leadership with hands-on engineering expertise. This role is responsible for delivering scalable, secure, and high-performance data solutions based on Medallion architecture, including Bronze ingestion, PII Vault tokenization, Silver-layer Apache Iceberg (Amazon S3 Tables), and Gold-layer Amazon Redshift data products. The position will drive DataOps automation, governance implementation, and fully ephemeral feature-branch environments to accelerate the delivery of analytics, reporting, and AI/ML capabilities.

The ideal candidate will have deep expertise building cloud-native data platforms using Apache Iceberg, Amazon S3 Tables, Lake Formation tag-based access control, DynamoDB single-table design, CloudFormation, and API Gateway with custom authorizers. They will champion Test-Driven Development (TDD), Great Expectations-based data quality validation, and metadata-driven engineering practices to ensure trusted, governed, and reusable data assets that power enterprise analytics, customer 360, AI/ML, and data-driven decision-making across the organization.

Lead the ongoing evolution, optimization, and governance of HomeServe’s AWS-based enterprise Lakehouse platform, ensuring scalability, reliability, security, and operational excellence.
Enhance and support existing metadata-driven ingestion, transformation, and orchestration frameworks, improving performance, maintainability, observability, and developer productivity.
Design, implement, and optimize batch and real-time data processing solutions leveraging AWS Glue, Lambda, Apache Iceberg (Amazon S3 Tables), Redshift, and related cloud-native services.
Manage and continuously improve enterprise data governance and privacy capabilities, including PII tokenization, right-to-erasure workflows, data lineage, and Lake Formation tag-based access controls.
Expand and maintain Customer 360 and Master Data Management (MDM) capabilities, including entity resolution, identity matching, and stewardship processes across enterprise data domains.
Establish and enforce architecture, engineering, and operational standards for a small data engineering team, promoting consistency, quality, and scalability across platform components.
Drive adoption of DataOps and DevOps best practices, including CI/CD automation, Test-Driven Development (TDD), automated data quality validation, and fully ephemeral environments for pull requests and feature branches.
Develop and maintain operational runbooks, monitoring, alerting, and incident response processes, serving as a technical escalation point and incident commander during critical platform events.

Essential Functions:

Essential Job Function

% of Time on Function

Architecture and design

25%

Platform engineering (libraries, IaC, CI/CD)

25%

Pipeline build

20%

Operations and incident response

15%

Stakeholder architecture work and mentoring

15%

Total

100%

Job Requirements:

BS in Computer Science or relevant field bachelor’s degree with an advanced degree preferred.
Acts as a forward-deployed senior engineer and technical authority for the data platform who is embedded with business stakeholders, setting standards, leading design reviews, and growing the team.
Deep, recent, hands-on experience as the technical owner of a production AWS Lakehouse.
Development of automated deployment frameworks and CI/CD pipelines to support efficient and reliable data platform releases.
Implementation of comprehensive data validation, monitoring, and quality assurance processes to ensure data accuracy, consistency, completeness, and reliability.
Strong analytical, verbal and written communication and interpersonal skills.
Willingness to travel is required.

Minimum Physical Requirements:

The physical demands described represent those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions of the position for which they work. While performing the duties of this position, the employee is regularly required to listen, talk and hear. The employee frequently is required to use hands or fingers, handle or feel objects, tools, or controls while executing tasks like working on a computer or talking on the telephone. The employee is occasionally required to stand; walk; sit; and reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Specific vision abilities required by this position include close vision, distance vision, and the ability to adjust focus. The noise level in the work environment is usually moderate to low.

This job description is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.

Salary Range (Norwalk, CT): $125,932.60 - $167,910.13

Annual Bonus Potential: 10%

HomeServe USA is an equal opportunity employer.

#HUSA #LI-NM1 #LI-ONSITE

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.

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data engineer jobs in shelton, ct

Principal Data Architect and Engineer

Sr Data Engineer

Senior Data Engineer

Sr. Data Engineer

Data Center Engineer / Project Coordinator

Lead Data Product Engineer

Data Engineer Lead- PMS & QA

Building Automation & Data Systems Engineer

AD, Principal Clinical Data Engineer

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