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Entry Level Ai Data Engineer Jobs in Westerly, RI

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented team of engineers, product partners, and business stakeholders to modernize enterprise data ...

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented team of engineers, product partners, and business stakeholders to modernize enterprise data ...

What You'll Do: * Assist with daily site inspections of all Mechanical & Engineering systems and ... Applicant AI Use Disclosure We value human interaction to understand each candidate's unique ...

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 ...

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 ...

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 ...

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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 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.
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 Engineer II

First Citizens Bank

Carolina, RI • On-site, Remote

$115K - $138K/yr

Full-time

Re-posted 11 days ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 174 rated banks


Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas.

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making across the organization.

The ideal candidate is a hands-on data engineer with experience in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will contribute to the development and support of scalable data pipelines, integrations, and data products utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.
As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented team of engineers, product partners, and business stakeholders to modernize enterprise data platforms and deliver cloud-based data solutions that support critical business initiatives. This is an opportunity to work with modern technologies, solve complex data challenges, and contribute to the bank's data and AI transformation journey.


Responsibilities & Qualifications

Duties and Responsibilities:

The successful candidate will thrive in a collaborative environment, possess strong problem-solving skills, and be passionate about building reliable, scalable, and high-quality data solutions.

  • Design, build, and support scalable data pipelines and cloud-based data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.
  • Implement data warehouse solutions, dimensional data models, and ETL/ELT processes that support reporting, analytics, and business intelligence capabilities.
  • Implement data quality validations, test cases, and controls to ensure accurate, consistent, and reliable data assets.
  • Develop and maintain data tests, including dbt tests, to support data quality and reliability requirements.
  • Support workflow orchestration, monitoring, troubleshooting, log analysis, and production operations using Airflow and cloud-native technologies.
  • Collaborate with business users, product partners, analysts, and technology teams to deliver data solutions that support business objectives.
  • Follow established engineering standards, development practices, documentation requirements, and testing procedures to support high-quality solution delivery.
  • Participate in pipeline deployments, environment promotion activities, operational support, and performance optimization efforts using established CI/CD processes.
  • Leverage AI-powered development and productivity tools to improve engineering efficiency, code quality, and delivery outcomes.

Qualifications:

Bachelor's Degree and 2 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

Preferred Qualifications
  • Experience working with cloud-based data platforms and modern data processing technologies such as AWS, Snowflake, Spark, or equivalent solutions.
  • Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and data integration solutions.
  • Experience utilizing modern data engineering tools and frameworks such as dbt, Apache Airflow, or similar technologies.
  • Experience contributing to the delivery and support of scalable, reliable data solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Additional Qualifications are a plus
  • Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience with Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience working with cloud-based and on-premises data environments.
  • Exposure to Data Vault modeling and modern data warehousing methodologies.
  • Understanding of data governance, security, compliance, and data quality management practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Cloud Practitioner, AWS Certified Developer – Associate, AWS Certified Data Engineer – Associate, SnowPro Core Certification, or equivalent cloud and data platform certifications.

Additional Information

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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