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New Grad Data Engineer Jobs in Connecticut (NOW HIRING)

Data Engineer

Danbury, CT · On-site

$116K - $140K/yr

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

Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

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

... new data technologies and tools to enhance data architecture - Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data ...

... new data technologies and tools to enhance data architecture - Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data ...

... new data technologies and tools - Leading data strategy engagements providing thought leadership - Developing leading practices for Data Engineering, Data Science, and Data Governance - Architecting ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

... new data technologies and tools - Leading data strategy engagements providing thought leadership - Developing leading practices for Data Engineering, Data Science, and Data Governance - Architecting ...

Senior Data Engineer

New Haven, CT · Hybrid

$106K - $144K/yr

Senior Data Engineer Location: 50 Mitchell Dr Suite 105, New Haven, CT 06511 Salary: $ 130-145K Work Status: Hybrid Job Summary: Company X is seeking a savvy Data Engineer to join our growing team of ...

Sr. Data Engineer - Hybrid

Hartford, CT · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Ensure the new Snowflake application is designed for long-term maintainability and enhancement ...

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Partner with quantitative researchers, data architects, and infrastructure teams to onboard new ... Document data pipelines and engineering best practices while contributing to the ongoing evolution ...

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Partner with quantitative researchers, data architects, and infrastructure teams to onboard new ... Document data pipelines and engineering best practices while contributing to the ongoing evolution ...

Senior Data Engineer

Hartford, CT · Hybrid

$106K - $145K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Senior Data Engineer

Stamford, CT · Hybrid

$113K - $153K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Senior Data Engineer

Hartford, CT · On-site

$139K - $230K/yr

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to ... Design complex data solutions, including incorporating new data sources and ensuring designs are ...

Showing results 21-40

New Grad Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do new grad data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for new grad data engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

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

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

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

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

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

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

What cities in Connecticut are hiring for New Grad Data Engineer jobs?

Cities in Connecticut with the most New Grad Data Engineer job openings:

Infographic showing various New Grad Data 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 $123,397 per year, or $59.3 per hour.

Data Engineer

Bespoke Labs

Danbury, CT • On-site

$116K - $140K/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