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Entry Level Ai Data Engineer Jobs in Westerly, RI

Actalent

Associate Scientist

West Greenwich, RI · On-site

$25 - $30/hr

Documents data process information in accordance with good documentation practices. * Performs ... Basic Qualifications: -Bachelor's Degree in Engineering or Science OR -Associates degree and 1 year ...

New

AMERICAN SYSTEMS

Electrical Designer/Drafter I

Norwich, CT · On-site

$25 - $28/hr

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 ...

360 Recruiting Group

Purchasing Clerk

East Lyme, CT · On-site

$20 - $40/hr

This entry-level position will assist with preparing purchase orders, communicating with suppliers ... Previous ERP and data entry experience is a plus. This is an excellent opportunity for someone ...

New

Aerotek

Sheet Metal Mechanic Positions

Groton, CT

$32/hr

Sheet Metal Mechanic Position $32.00/Hour + $140/Day Per Diem Company Description We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial ...

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All JobsAi Data Engineer JobsEntry Level Ai Data Engineer JobsEntry Level Ai Data Engineer Jobs in Westerly, RI

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 Sep 3, 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.
Entry Level Ai Data Engineer jobs near you
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.

Intern, Customer Support and Customer Success

Harris

Carolina, RI

$22 - $25/hr

Part-time

Re-posted 7 days ago

Harris Computer rating

8.5

Company rating: 8.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

80th of 247 rated software companies

Job description

eScholar Customer Support is looking for an exceptional talent to become our Customer Support/ Customer Success Intern. In this role, our intern will participate in rotations with focus areas: Customer Support, Product Management, and Customer Success .

What your impact will be:

  • Work closely with the Customer Support, Product Management, and Customer Success teams to develop a sound understanding of eScholar products, customers, and internal operating processes.
  • Provide technical support to eScholar customers and help manage incoming support issues through eScholar's incident management system.
  • Identify opportunities to enhance incident intake, issue tracking, reporting, knowledge capture, and workflow efficiency within the incident management system.
  • Participate in testing and continuous improvement efforts related to support processes, service workflows, and internal tools.
  • Experiment with AI-enabled tools and automation to improve reporting, knowledge management, issue triage, and team productivity.
  • Support Customer Success and account management activities such as preparing customer materials, tracking follow-up items, monitoring customer engagement, and helping coordinate internal and customer-facing actions.
  • Participate in customer success planning activities, including account reviews, adoption discussions, issue follow-up, and cross-functional coordination to support customer outcomes.
  • Participate in functional and technical design sessions.
  • Gather end-user requirements for data pipelines, reporting, and operational improvements.
  • Use various applications to analyze source system data and identify data quality issues and anomalies that must be corrected and/or handled in ETL routines.

What we are looking for:

  • Proficient in SQL
  • Experience with AWS Quicksight, Microsoft Power BI, Tableau, and others.
  • Experience with Python and other programming languages
  • Experience with AWS or Azure cloud-hosted applications
  • Experience or strong interest in AI-enabled productivity tools, support operations, process improvement, and customer success/account management functions.
  • Experience with version control and functional testing
  • Experience with SQL Server, Postgres and Oracle
  • Experience creating technical documentation
  • Some prior experience with the education sector through internships

What will help you stand out:

  • Curiosity about AI tools and automation, and an interest in applying them to improve workflows, reporting, and customer experience
  • Interest in support operations, incident management, and continuous process improvement
  • Strong analytical and problem-solving skills, with the ability to turn data and feedback into actionable insights
  • Interest in customer success and account support, including customer follow-up, engagement tracking, and cross-functional coordination
  • Attention to detail and strong verbal and written communication skills
  • Ability to work collaboratively and independently
  • Pursuing a BA/BS degree in Computer Science or a related field

Pay rate: $22.00 - $25.00 USD per hour

What Harris Computer employees say

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Benefits

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About Harris Computer Systems

Sourced by ZipRecruiter

Harris Computer Systems, based in Ottawa, ON, CA, is an established player in the field of public sector software technology. Since its inception in 1976, the company has been striving to make clients' operations more efficient through reliable, practical, and flexible software solutions. Its extensive portfolio primarily serves utility, healthcare, public sector, and educational institutions, contributing to the betterment of public services through technology. Harris strongly believes in the value of forward-thinking technology and the power it has to drive progress for the public sector. This methodology is entirely in line with their mission to ensure customer success by providing reliable, practical, and robust software solutions.

Industry

Accounting services

Company size

1,001 - 5,000 Employees

Headquarters location

Ottawa, ON, CA

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