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Data Infrastructure Engineer Jobs in Connecticut

Bespoke Labs

Data Engineer

Bridgeport, CT · On-site

$116K - $139K/yr

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

New Haven, CT · On-site

$115K - $138K/yr

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Hamden, CT · On-site

$113K - $136K/yr

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Norwalk, CT · On-site

$115K - $138K/yr

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Danbury, CT · On-site

$116K - $140K/yr

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Qualifications: 5+ years of data engineering experience. 2+ years developing and operating production workloads in cloud infrastructure. Bachelor's degree in Computer Science, Data Science ...

Gartner

Data Analyst - 2026/2027 graduates

Stamford, CT · On-site

  • Retirement

  • PTO

Data Engineering: Assistwith the setup, management, and streamlining of data pipelines for multiple ... Develop domainexpertise on Gartner's data, analytic tools, reports, and data infrastructure. Take ...

CVS Health

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Data Engineer, you will collaborate with architects, product owners, data scientists, and ... Monitor, troubleshoot, and optimize enterprise data pipelines and cloud infrastructure. * Implement ...

CVS Health

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Data Engineer, you will collaborate with architects, product owners, data scientists, and ... Monitor, troubleshoot, and optimize enterprise data pipelines and cloud infrastructure. * Implement ...

Gartner

Data Analyst - 2026/2027 graduates

Stamford, CT · On-site

  • Retirement

  • PTO

Data Engineering: Assist with the setup, management, and streamlining of data pipelines for ... Develop domain expertise on Gartner's data, analytic tools, reports, and data infrastructure. Take ...

Legrand Slovenija

Azure Data Engineer

West Hartford, CT · Remote

$116K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

At a Glance Legrand has an exciting opportunity for an Azure Data Engineer to join our Information ... About Legrand Legrand is the global specialist in electrical and digital building infrastructures.

Netsynk

Data Warehouse Engineer

New London, CT · On-site

Data Warehouse Engineer Location: Uncasville, CT Work Mode: Hybrid Experience Required: 8-20 Years ... infrastructure and ETL solutions that support business intelligence, analytics, and strategic ...

PCX Aerosystems

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

Across its nationwide infrastructure of advanced manufacturing facilities, Applied continuously ... The Data Engineer is a strategic technical role responsible for architecting, building, and ...

The Hartford

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Exposure to Snowflake, multi-cloud architectures, Terraform, or Infrastructure-as-Code practices.

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Showing results 41-60

All JobsData Infrastructure Engineer JobsData Infrastructure Engineer Jobs in Connecticut

Data Infrastructure Engineer information

See Connecticut salary details

$44.2K

$120.9K

$173.1K

How much do data infrastructure engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data infrastructure engineer in Connecticut is $120,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $134,100.00 per year, depending on experience, location, and employer.

What is a data infrastructure engineer?

A Data Infrastructure Engineer is a professional who designs, builds, and maintains the systems and architecture that store, process, and manage large volumes of data for organizations. They focus on creating scalable and reliable data pipelines, ensuring data is accessible and secure, and integrating data from various sources. Their work enables data scientists, analysts, and other stakeholders to efficiently use data for decision-making and analytics. Data Infrastructure Engineers often work with tools like Hadoop, Spark, and cloud platforms, and play a critical role in supporting modern data-driven businesses.

What are the key skills and qualifications needed to thrive as a data infrastructure engineer?

To thrive as a Data Infrastructure Engineer, you need a solid background in computer science, experience with database management, and expertise in building and optimizing data pipelines, often supported by a relevant degree. Familiarity with tools and platforms like Hadoop, Spark, SQL, cloud services (AWS, Azure, GCP), and containerization technologies such as Docker and Kubernetes is typically required, alongside certifications in cloud or database technologies. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve complex technical challenges. These skills and qualities are crucial for ensuring reliable, scalable, and efficient data systems that support business analytics and decision-making.

What are some typical challenges data infrastructure engineers face when scaling systems to handle increased data volume?

Data Infrastructure Engineers often encounter challenges such as ensuring data pipelines remain reliable and performant as data volume grows. This includes optimizing storage solutions, managing distributed systems, and automating data ingestion and transformation processes. Collaborating closely with data scientists and analysts is key to understanding evolving data requirements and proactively addressing potential bottlenecks. Staying updated with the latest tools and best practices helps engineers build scalable, fault-tolerant infrastructure that supports organizational growth.

What is the difference between Data Infrastructure Engineer vs Data Engineer?

AspectData Infrastructure EngineerData Engineer
Primary FocusBuilding and maintaining data infrastructure, pipelines, and storage systemsDesigning, developing, and optimizing data pipelines and models
Skills & CertificationsCloud platforms, data storage, ETL tools, scriptingSQL, Python, Spark, Hadoop, data modeling
Work EnvironmentData teams, infrastructure teams, cloud environmentsData teams, analytics teams, software engineering
Industry UsageTech, finance, healthcare, any data-driven industryTech, finance, retail, analytics-focused companies

While both roles involve working with data pipelines, Data Infrastructure Engineers focus on building and maintaining the underlying data systems and infrastructure, ensuring data availability and reliability. Data Engineers primarily develop and optimize data pipelines and models for analysis and machine learning. Both roles often collaborate but serve different aspects of data management.

What are popular job titles related to Data Infrastructure Engineer jobs in Connecticut?

For Data Infrastructure Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Data Infrastructure Engineer jobs in Connecticut look for?

The top searched job categories for Data Infrastructure Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Data Infrastructure Engineer jobs?

Cities in Connecticut with the most Data Infrastructure Engineer job openings:

Data Infrastructure Engineer jobs near you
Infographic showing various Data Infrastructure Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,876 per year, or $58.1 per hour.

Data Engineer

Bespoke Labs

Bridgeport, CT • On-site

$116K - $139K/yr

Full-time

Re-posted yesterday

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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