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Senior Analytics Engineer Jobs in Connecticut (NOW HIRING)

3B Staffing LLC

Data Analytics Engineer (AI)

Stamford, CT · On-site

$122K - $146K/yr

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment ...

3B Staffing LLC

Data Analytics Engineer (AI)

Stamford, CT · On-site

$122K - $146K/yr

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment ...

Deloitte

GCP Cloud Analytics Engineer

Stamford, CT · On-site

$59.50 - $79.50/hr

As a Sr Consultant, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business ...

Synchrony

SVP, Consumer Bank Analytics

Stamford, CT · On-site

The SVP, Consumer Bank Analytics is responsible for leading the analytics data strategy and insight ... Partner with Technology, Data Engineering, and Enterprise Data teams to improve data accessibility ...

Priceline.com LLC

Senior Analyst, Order to Cash

Norwalk, CT · Hybrid

$88K - $116K/yr

Senior Analyst, Order to Cash This role is eligible for our hybrid work model: Two days in-office ... Who you are: Bachelor's degree in Computer Science Engineering with experience in Finance ...

Priceline

Senior Analyst, Order to Cash

Norwalk, CT · Hybrid

$88K - $116K/yr

Senior Analyst, Order to Cash This role is eligible for our hybrid work model: Two days in-office ... Who you are: Bachelor's degree in Computer Science Engineering with experience in Finance ...

Pwc

Data Engineer - Senior Associate

Stamford, CT

$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 ...

Pwc

Data Engineer - Senior Associate

Hartford, CT

$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 JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Connecticut

Senior Analytics Engineer information

See Connecticut salary details

$56.6K

$120.4K

$174.6K

How much do senior analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior analytics engineer in Connecticut is $120,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $136,500.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

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

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a senior analytics engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are the most commonly searched types of Analytics Engineer jobs in Connecticut? The most popular types of Analytics Engineer jobs in Connecticut are:
What are popular job titles related to Senior Analytics Engineer jobs in Connecticut? For Senior Analytics Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Connecticut look for? The top searched job categories for Senior Analytics Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Senior Analytics Engineer jobs? Cities in Connecticut with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Connecticut as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $120,392 per year, or $57.9 per hour.

Data Analytics Engineer (AI)

3B Staffing LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

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

Job description

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment, MLOps (CI/CD, monitoring, governance), cloud (Azure/AWS/GCP), API integration, and scalable data engineering (Financial Services preferred). AI Configuration & Optimization
  • Configure, fine-tune, and optimize Large Language Models (LLMs) and advanced ML models
  • Develop and manage prompt engineering frameworks, embeddings, and vector databases
  • Translate business requirements into AI-powered workflows and intelligent automation solutions
AI Implementation & Delivery
  • Deploy production-ready ML/AI models and data pipelines
  • Integrate AI capabilities into enterprise applications, APIs, and analytics platforms
  • Build scalable, end-to-end AI and data solutions aligned with business goals
  • Ensure solutions deliver measurable performance and operational impact AI Infrastructure & MLOps
  • Design and maintain MLOps frameworks including CI/CD pipelines
  • Implement model monitoring, versioning, governance, and performance optimization
  • Work across cloud platforms (Azure, AWS, or GCP) to scale AI workloads
  • Enhance reliability, security, and compliance of AI systems
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • 5+ years of experience in Data Engineering, AI Engineering, or ML Engineering roles
  • Hands-on experience with LLMs, prompt engineering, embeddings, and vector databases
  • Strong programming skills in Python (preferred)
  • Experience deploying ML/AI models into production environments
  • Solid understanding of cloud platforms (Azure, AWS, or GCP)
  • Experience building CI/CD pipelines for AI/ML systems
Preferred
  • Experience in Financial Services domain
  • Familiarity with API development and microservices architecture
  • Experience with model governance, compliance, and AI risk frameworks
  • Knowledge of scalable distributed data systems

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