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New Grad Data Engineer Jobs in Worcester, MA (NOW HIRING)

Busek

Data Analyst

Natick, MA · On-site

$80 - $100/hr

... learn new systems and technologies. While experience with electric propulsion is beneficial, candidates with strong data analysis skills and experience supporting engineering or manufacturing ...

Busek

Data Analyst

Natick, MA

... learn new systems and technologies. While experience with electric propulsion is beneficial, candidates with strong data analysis skills and experience supporting engineering or manufacturing ...

Busek

Data Analyst

Natick, MA · On-site

... learn new systems and technologies. While experience with electric propulsion is beneficial, candidates with strong data analysis skills and experience supporting engineering or manufacturing ...

Busek Co Inc

Data Analyst

Natick, MA · On-site

... learn new systems and technologies. While experience with electric propulsion is beneficial, candidates with strong data analysis skills and experience supporting engineering or manufacturing ...

KG Tiger

DATA WAREHOUSE DEVELOPER/ANALYST

Natick, MA · On-site

Through the new Marts supporting analysis of this data, the incumbent would be responsible for ... Engineering with three (3) years of professional work experience, or a Master's degree in ...

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Showing results 41-60

All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in Worcester, MA

New Grad Data Engineer information

See Worcester, MA salary details

$44.4K

$129.4K

$177.1K

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

As of Sep 8, 2026, the average yearly pay for new grad data engineer in Worcester, MA is $129,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,200.00 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 Worcester, MA?

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

What job categories do people searching New Grad Data Engineer jobs in Worcester, MA look for?

The top searched job categories for New Grad Data Engineer jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for New Grad Data Engineer jobs?

Cities near Worcester, MA with the most New Grad Data Engineer job openings:

New Grad Data Engineer jobs near you
Infographic showing various New Grad Data Engineer job openings in Worcester, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,434 per year, or $62.2 per hour.

Data Scientist

Indotronix International Corporation

Woonsocket, RI • On-site

Full-time, Contractor

Posted 11 days ago

Key responsibilities

  • Lead full-cycle development of AI models, including data analysis, model building, training, and refinement.

  • Analyze call center interactions to identify service drivers, efficiency gaps, and opportunities for digital self-service.

  • Collaborate with cross-functional teams to operationalize analytical outputs into dashboards and reusable assets.

Job description

Senior Data Scientist - Call Center Innovation Lab (Remote, Contract to Hire)
About the Role
Join our fast-paced Call Center Innovation Lab as a Senior Data Scientist and drive large-scale transformation in customer experience and digital self-service across Aetna. You'll work remotely, collaborating with passionate teams to extract actionable insights from call transcripts and unstructured data using the latest NLP, LLMs, and transformer models. This is a unique opportunity to shape enterprise-wide solutions, expand model coverage, and play a pivotal role in building scalable frameworks that directly impact business outcomes.
Responsibilities
- Lead full-cycle development of AI models: from raw text data analysis to model building, training, and iterative refinement.
- Analyze call center interactions to uncover service drivers, efficiency gaps, and digital self-service opportunities.
- Apply NLP, LLMs, and GenAI techniques to extract insights from large-scale call transcripts and related text data.
- Design, implement, and evaluate pilots, experiments, and quasi-experiments to quantify business impact.
- Translate complex analytics into clear, actionable recommendations for both technical and senior business stakeholders.
- Collaborate with cross-functional teams, including Digital SMEs and Data Engineering partners, to operationalize analytical outputs into dashboards and reusable assets.
- Synthesize stakeholder requirements and clearly communicate model capabilities, ROI, and business value.
- Expand existing solutions to support multiple business lines and develop new model types to extract novel insights.
Required Skills and Experience
- Minimum 3 years in data science, advanced analytics, or similar roles with end-to-end model delivery experience.
- Hands-on proficiency in SQL and Python for analysis and modeling.
- Deep expertise with NLP, LLMs, or GenAI applied to text/conversational data (call transcripts, chat logs).
- Experience designing and analyzing experiments, pilots, or A/B tests, converting results into business actions.
- Demonstrated strength in developing scalable analytical assets (frameworks, dashboards, scorecards).
- Excellent communication skills for translating technical outcomes into business value for diverse audiences.
- Proven ability to work independently and cross-functionally in dynamic, fast-moving environments.
- Familiarity with version control systems (e.g., Git) and modern data workflows.
Preferred Skills
- Experience with call center, virtual assistant, or contact center data.
- Familiarity with Google Cloud Platform (GCP), Vertex AI, or equivalent enterprise AI platforms.
- Background in digital, customer interaction, or call center analytics.
- Ability to clearly articulate technical tradeoffs and business impact to senior leadership.
- Master's degree in Computer Science, Engineering, Analytics, Statistics, or related quantitative field.
Benefits
- Remote, flexible work environment with leading-edge AI projects.
- Direct impact on digital transformation at enterprise scale.
- Opportunity to expand AI/ML skills with advanced NLP and LLMs.
- Collaborative culture with high visibility to business and technical leadership.
- Contract to hire - potential pathway to full-time employment with a Fortune 500 organization.
How to Apply
Ready to drive innovation and build the next generation of AI-powered solutions? Submit your application with your updated resume detailing relevant experience in NLP, LLMs, and data science. We are seeking independent, impact-driven professionals eager to make a measurable difference. Background check and drug screening required.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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