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Entry Level Ai Data Engineer Jobs in Westerly, RI

Use AI-assisted and agentic development tools to accelerate code analysis, development, debugging ... Write and maintain SQL Server queries, stored procedures, scripts, and data troubleshooting tools.

Netpace Inc is seeking a Field Engineer 3 to provide technical support for computer-related ... Netpace is a Data-Driven company excelling in AI, IT Consulting and Staffing Solutions. Founded in ...

Achieve monthly sales targets across high-speed data, mobile, landline phone and video services ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Perform QA/QC and data cleaning for geospatial, tabular, and model input/output data to ensure ... Basic understanding of AI prompt engineering and agentic AI concepts to support workflow ...

Emprise Corporation is seeking an entry level Electronics Technician to join our marine engineering ... Troubleshoot data synchronization issues between data collectors and Windows based computer ...

Finance Customer Service Representative

Pawcatuck, CT · On-site

$16 - $22/hr

... data into our ERP from various sources. They will perform entry-level bookkeeping tasks including ... Work with engineering, manufacturing, compounding, shipping, accounting and all other cross ...

The Electrical Designer/Drafter I is an entry-level position that supports electrical design and ... Apply basic electrical engineering and drafting principles to support design solutions. * Conduct ...

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Showing results 1-20

Entry Level Ai Data Engineer information

See Westerly, RI salary details

$44.8K

$130.7K

$178.8K

How much do entry level ai data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for entry level ai data engineer in Westerly, RI is $130,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,300.00 and $138,500.00 per year, depending on experience, location, and employer.

What is an entry level AI data engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.

What are some common challenges faced by entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

What are the key skills and qualifications needed to thrive as an entry level AI data engineer, and why are they important?

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

What is the difference between Entry Level Ai Data Engineer vs Data Analyst?

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

How to get into entry level AI data engineering?

To enter an entry-level AI data engineering role, develop skills in programming languages like Python and SQL, understand data pipelines and databases, and gain experience with cloud platforms such as AWS or Azure. Completing relevant certifications or courses in data engineering and machine learning can also improve job prospects.
Infographic showing various Entry Level Ai Data Engineer job openings in Westerly, RI as of July 2026, with employment types broken down into 62% Full Time, 14% Part Time, and 24% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $130,667 per year, or $62.8 per hour.

Data Scientist - Biomanufacturing Intelligence

Thermo Fisher Scientific

Groton, CT

Full-time

Posted 18 days ago


Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 428 frontline employees who took The Breakroom Quiz

174th of 544 rated manufacturers


Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Description

Data Scientist – Biomanufacturing Intelligence

As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer.

The Bioprocessing Business Development team is shaping the future of digital biomanufacturing by creating innovative business models and customer solutions at the convergence of biotechnology, manufacturing, automation and AI. We believe the future of biomanufacturing will be driven by the integration of these disciplines. This role provides a unique opportunity to help define the future of Biomanufacturing Intelligence.

DESCRIPTION

Join the Bioprocessing Business Development team as a Data Scientist – Biomanufacturing Intelligence. Unlike traditional data science roles, this position focuses on creating new digital business opportunities rather than supporting an established analytics organization. You will work with bioprocess experts, automation specialists, commercial teams and global stakeholders to explore how biomanufacturing data can be transformed into valuable digital solutions.

This is an opportunity to help define the future of Biomanufacturing Intelligence by combining data science, automation and biotechnology into innovative solutions for the biopharmaceutical industry.

KEY RESPONSIBILITIES

  • Identify and develop new digital business opportunities for biomanufacturing using AI and data science.

  • Collaborate with customers and cross-functional teams to understand manufacturing challenges and develop innovative digital solutions.

  • Design AI-ready information models and analytical frameworks that enable Biomanufacturing Intelligence.

  • Develop proof-of-concepts and prototypes for next-generation digital biomanufacturing solutions.

  • Work with global commercial, product management and technical teams to define future business and technology strategies.

REQUIREMENTS

Required

  • Master's or PhD in Data Science, Computer Science, Statistics, Industrial Engineering, or a related discipline.

  • Strong programming skills in Python and SQL, with a solid understanding of statistics, machine learning and data analytics.

  • Strong analytical thinking and structured problem-solving skills.

  • Strong written and verbal English communication skills, with the ability to collaborate effectively in a global environment.

  • Strong collaboration and presentation skills, with the ability to work across multidisciplinary teams.

  • Intellectual curiosity, open-mindedness and a strong willingness to learn.

Preferred

  • Experience with data engineering, information architecture or semantic data modeling.

  • Interest in biotechnology, automation and AI-driven manufacturing.

  • Exposure to manufacturing, pharmaceutical or life sciences is beneficial but not required.

WHY JOIN US?

Join the world leader in serving science and help create the next generation of digital solutions for the biopharmaceutical industry.

Work at the convergence of biotechnology, manufacturing, automation and AI while collaborating with global customers and cross-functional teams.

Grow your expertise across business development, manufacturing and data science while helping define the emerging field of Biomanufacturing Intelligence.

SUCCESS PROFILE

  • Open Mind

  • Curiosity

  • Persistence

  • Cross-functional Collaboration


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