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New Grad Data Engineer Jobs in Hallowell, ME (NOW HIRING)

Data Engineer

Auburn, ME · On-site

$123K - $148K/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

Lewiston, ME · On-site

$121K - $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 ...

Data Engineer

Augusta, ME · On-site

$113K - $136K/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 ...

M-78-Data Architect 144227.

Augusta, ME · On-site

$63 - $81.25/hr

Hybrid - Augusta, ME (Onsite once per month; candidates in New England preferred) Duration: 8-month ... Mentor junior developers, providing technical guidance and expertise. Required Skills & Experience:

Data Analyst

Augusta, ME · Hybrid

$62K/yr

Data Analysis o Assist in the design and creation of new data methods and tools to track and assess ... Preferred Demonstrated programming ability in SQL, R, or similar packages. Experience with GIS ...

Data Analyst

Augusta, ME · On-site

$62K/yr

Data Analysis o Assist in the design and creation of new data methods and tools to track and assess ... Preferred • Demonstrated programming ability in SQL, R, or similar packages. • Experience with ...

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New Grad Data Engineer information

See Hallowell, ME salary details

$44.1K

$128.4K

$175.7K

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

As of Jul 27, 2026, the average yearly pay for new grad data engineer in Hallowell, ME is $128,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the New Grad Data Engineer position, and why are they important?

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.

What does the typical day look like for a New Grad Data Engineer?

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 is a New Grad Data Engineer job?

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.

$123K - $148K/yr

Full-time

Posted 10 days ago


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