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Senior Data Engineer Jobs in Rutland, VT (NOW HIRING)

Our goal is to harness the full potential of this network for voice, data and electric grid ... Senior Engineer level - This level recognizes the talent and skills of a practicing engineer ...

Our goal is to harness the full potential of this network for voice, data and electric grid ... Senior Engineer level - This level recognizes the talent and skills of a practicing engineer ...

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 ... You'll work directly with a Senior PM, embed with the engineering and design team, and be in the ...

Entegral Financial Analyst

Rutland, VT · On-site

$75K - $90K/yr

Prepare detailed reports and presentations on findings, analysis, and recommendations for stakeholders and senior management. * Collaborate with product and engineering teams to optimize data ...

Buyer

Rutland, VT

$22.65 - $26.03/hr

... engineering, human resources, maintenance, etc. • Strong negotiation skills. • Excellent, data-driven analytical skills required. • Excellent project management and organizational skills ...

Buyer

VT · On-site

$22.65 - $26.03/hr

... engineering, human resources, maintenance, etc. • Strong negotiation skills. • Excellent, data-driven analytical skills required. • Excellent project management and organizational skills ...

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Senior Data Engineer information

See Rutland, VT salary details

$83K

$129.4K

$179.3K

How much do senior data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for senior data engineer in Rutland, VT is $129,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,600.00 and $147,500.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What cities near Rutland, VT are hiring for Senior Data Engineer jobs? Cities near Rutland, VT with the most Senior Data Engineer job openings:
Infographic showing various Senior Data Engineer job openings in Rutland, VT as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,399 per year, or $62.2 per hour.
Principal Architect, Solution Engineering, AI and Architecture

Principal Architect, Solution Engineering, AI and Architecture

CVS Health

Hartford, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,319 frontline employees who took The Breakroom Quiz

88th of 109 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

CVS Health is seeking a Principal Architect to provide enterprise-level technical leadership across complex, business-critical platforms, with strong accountability for application, data, and integration architecture. This role emphasizes AI-powered systems, agentic architectures, intelligent automation, and modern data platforms. The role owns end-to-end solution architecture for large-scale initiatives and shapes how data and software are designed, built, governed, and evolved across the enterprise.

The ideal candidate is a hands-on, outcome-driven architect who operates across business, product, engineering, and executive leadership, balancing innovation, delivery speed, data integrity, and long-term platform health.

Key ResponsibilitiesArchitecture Leadership and Strategy
  • Own and evolve end-to-end solution architecture for highly complex, cross-domain initiatives encompassing application, integration, and data architecture.
  • Provide technology leadership and architectural oversight to ensure adherence to enterprise architecture principles and standards while maximizing reuse of technology and data assets.
  • Serve as a technical authority and trusted advisor to senior engineering, product, data, and business leaders.
  • Lead architecture design reviews, identify systemic gaps and risks across systems and data flows, and drive pragmatic remediation.
Platform Modernization and Integration
  • Lead modernization of distributed platforms spanning cloud-native and legacy environments.
  • Define and enforce reference architectures for microservices, APIs, event-driven systems, and data platforms.
  • Design integration architectures leveraging APIs, event streaming, and asynchronous messaging to decouple systems and enable resilience.
  • Perform build versus buy evaluations using qualitative and quantitative analysis, delivering clear architectural recommendations.
Data Architecture and Governance
  • Define and own data architecture strategies including domain-oriented data models, canonical data definitions, and system-of-record design.
  • Architect scalable data platforms supporting operational reporting, analytics, AI, and downstream consumption.
  • Establish patterns for data integration, data lineage, quality, observability, and governance.
  • Partner with data engineering, analytics, security, and compliance teams to ensure data architectures meet privacy, regulatory, and audit requirements.
Agentic AI and Intelligent Automation
  • Design and guide implementation of agent-based and agent-orchestrated architectures to support complex workflows and decision-making.
  • Leverage LangGraph, agent development kits, and orchestration patterns to enable multi-step reasoning, tool-using agents, and human-in-the-loop workflows.
  • Ensure AI systems are governed, observable, secure, and auditable by design.
  • Partner with security, legal, and compliance teams to enable responsible AI adoption.
AI-Powered Development
  • Champion AI-assisted software development practices including code generation, refactoring, test creation, impact analysis, and documentation automation.
  • Establish architectural patterns that improve developer productivity without sacrificing quality, data integrity, or control.
Engineering Enablement and Governance
  • Partner with development teams to remove architectural bottlenecks and accelerate delivery.
  • Develop reference implementations and working patterns, providing hands-on guidance and coaching.
  • Advise teams on performance, scalability, reliability, security, observability, and data architecture challenges.
  • Define and uphold architecture and data standards while enabling team autonomy.

Required Qualifications

  • 12+ years of experience in enterprise application, integration, and data architecture.
  • Strong expertise in Domain-Driven Design, microservices, APIs, event-driven systems, and data modeling.
  • Hands-on experience with major public cloud platforms including Azure, AWS, and GCP.
  • Proven experience integrating modern cloud platforms with legacy systems and enterprise data stores.
  • Demonstrated ability to influence senior engineers, data leaders, and executives without direct authority.
  • Hands-on experience applying AI, Agentic AI, ML, or GenAI to automate workflows, analyze data, and assist development.


Preferred Qualifications

  • Experience designing or implementing agentic AI systems and orchestration-based workflows.
  • Familiarity with LangGraph, agent development kits, or similar frameworks.
  • Experience with modern data platforms, streaming data pipelines, and analytical data stores.
  • Experience with DevSecOps, CI/CD, and platform engineering practices.
  • Experience operating in highly regulated environments.


Education

  • Bachelor Degree in Computer Science or related field required
  • Master Degree in Computer Science or related field preferred

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00


This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/26/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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