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Senior Data Solutions Engineer Jobs in Rhode Island

First Citizens Bank

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

First Citizens Bank

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

Openkyber

Sr. AI Solutions Engineer

Woonsocket, RI · On-site

$53 - $68.25/hr

Role : Sr. AI Solutions Engineer for a healthcare Client Location: Woonsocket, RI. The Client is looking for the following Skills: Required Skills & Technologies: AI/ML Tools: LangChain, LangGraph ...

Aperia Technologies

Solutions Engineer, Remote

Warwick, RI · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... solutions engineering, sales engineering, or similar role. * Proficiency in SQL and Python is ...

Aperia Technologies

Solutions Engineer, Remote

Cranston, RI · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... solutions engineering, sales engineering, or similar role. * Proficiency in SQL and Python is ...

Aperia Technologies

Solutions Engineer, Remote

Pawtucket, RI · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... solutions engineering, sales engineering, or similar role. * Proficiency in SQL and Python is ...

Aperia Technologies

Solutions Engineer, Remote

Bristol, RI · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... solutions engineering, sales engineering, or similar role. * Proficiency in SQL and Python is ...

Aperia Technologies

Solutions Engineer, Remote

Providence, RI · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... solutions engineering, sales engineering, or similar role. * Proficiency in SQL and Python is ...

First Citizens Bank

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

Implement data warehouse solutions, dimensional data models, and ETL/ELT processes that support ... Follow established engineering standards, development practices, documentation requirements, and ...

First Citizens Bank

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

Implement data warehouse solutions, dimensional data models, and ETL/ELT processes that support ... Follow established engineering standards, development practices, documentation requirements, and ...

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All JobsData Solutions Engineer JobsSenior Data Solutions Engineer JobsSenior Data Solutions Engineer Jobs in Rhode Island

Senior Data Solutions Engineer information

What is the difference between Senior Data Solutions Engineer vs Data Engineer?

AspectSenior Data Solutions EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's/Master's in CS, Data Science, or related; certifications in cloud or data tools are common
Work EnvironmentDesigning data solutions, collaborating with teams, client-facing rolesBuilding and maintaining data pipelines, ETL processes, data infrastructure
Industry UsageUsed across tech, finance, healthcare, and enterprise sectors for data solutionsPrimarily in tech, finance, and data-centric companies for data infrastructure

The Senior Data Solutions Engineer focuses on designing and implementing comprehensive data solutions, often working closely with clients and cross-functional teams. Data Engineers primarily build and maintain data pipelines and infrastructure. While both roles require similar technical skills and certifications, the Solutions Engineer emphasizes solution design and client interaction, whereas the Data Engineer concentrates on data pipeline development and maintenance.

What are popular job titles related to Senior Data Solutions Engineer jobs in Rhode Island?

For Senior Data Solutions Engineer jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Senior Data Solutions Engineer jobs in Rhode Island look for?

The top searched job categories for Senior Data Solutions Engineer jobs in Rhode Island are:

What cities in Rhode Island are hiring for Senior Data Solutions Engineer jobs?

Cities in Rhode Island with the most Senior Data Solutions Engineer job openings:

Senior Data Solutions Engineer jobs near you
Infographic showing various Senior Data Solutions Engineer job openings in Rhode Island as of August 2026, with employment types broken down into 80% Full Time, 14% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr Data Engineer- Data Platform & AI Enablement

Citizens Bank

Johnston, RI • On-site

$115K - $138K/yr

Full-time

Re-posted 9 days ago

Job description


Senior Data Engineer - Enterprise Data Enablement
The Enterprise Data Enablement team is seeking a Senior Data Engineer who can design, develop, and maintain secure, scalable, and efficient data pipelines and platforms. This role will focus on building and deploying data solutions across financial consumer business domains by leveraging existing and new data framework capabilities to acquire, transform, stream, and integrate data. The candidate will also contribute to innovative data engineering solutions, including AI/GenAI/Agentic AI-ready data capabilities, while collaborating with and supporting a team of data engineers in building scalable, secure, and intelligent data platforms.
Primary Responsibilities
  • Design, build, and maintain reliable, efficient, and scalable data pipelines to acquire, transform, and store large datasets.
  • Develop robust data pipelines to collect, process, and compute metrics from various financial data sources while adhering to quality and development standards.
  • Contribute to application architecture and technical solutions, and help implement data framework patterns alongside senior engineers and architects.
  • Collaborate with cross-functional teams to deliver optimal data solutions that meet business and platform needs.
  • Develop and deploy high-quality, production-ready code.
  • Apply strong database design principles and data modeling techniques to translate business requirements into scalable data solutions.
  • Develop and optimize data models to support analytics, reporting, machine learning, and AI-driven use cases.
  • Support the implementation and enhancement of enterprise data frameworks and contribute to scalable solutions.
  • Identify opportunities to improve existing frameworks and help build reusable capabilities across the organization.
  • Troubleshoot and resolve data-related issues in a timely manner.
  • Execute unit testing for data pipelines, validate results, and ensure data quality and accuracy; partner with business users for User Acceptance Testing and support deployment activities.
  • Follow change management practices and ensure adherence to compliance and regulatory standards.
  • Design and build data pipelines and platform capabilities that support AI, Generative AI, and Agentic AI use cases, including model training, inference, retrieval, and orchestration workflows.
  • Enable AI-ready data foundations by developing high-quality, governed, and reusable datasets for machine learning, large language model (LLM), and intelligent automation solutions.
  • Develop and optimize pipelines for structured, semi-structured, and unstructured data to support GenAI use cases such as semantic search, document intelligence, and retrieval-augmented generation (RAG).
  • Partner with data scientists, ML engineers, architects, and product teams to integrate AI/GenAI capabilities into enterprise data platforms and workflows.
  • Implement metadata, lineage, governance, security, and access controls required for responsible AI and enterprise-scale GenAI adoption.
  • Ensure observability, reliability, performance, and data quality for data pipelines, including those supporting AI-enabled workflows.
Required Skills / Experience
  • 6-8+ years of experience in data engineering and distributed data processing technologies.
  • Hands-on experience with streaming technologies such as Apache Spark, Beam, or Flink.
  • Experience with message brokers such as Apache Kafka.
  • Experience working with microservices and batch processing systems.
  • Strong programming skills in Java and/or Scala; Python experience preferred.
  • Strong SQL development and performance optimization skills.
  • Solid knowledge of relational databases (Redshift, PostgreSQL, Snowflake) and NoSQL databases (MongoDB or similar).
  • Experience with CI/CD pipelines and version control systems such as Bitbucket and Git.
  • Experience with ETL development tools such as Talend or DataStage is a plus.
  • Experience with Java Spring Boot; familiarity with React, TypeScript, or Angular is a plus.
  • Understanding of cloud-based data processing, with AWS and/or Azure experience preferred.
  • Experience building data pipelines that support analytics, machine learning, and AI workloads.
  • Working knowledge of data engineering concepts supporting LLM-based applications, including retrieval pipelines, embeddings workflows, and unstructured data processing.
  • Familiarity with AI/GenAI concepts such as RAG, semantic search, document processing, and model inference workflows.
  • Understanding of data governance, security, lineage, and compliance requirements, particularly in regulated environments.
  • Exposure to workflow orchestration frameworks and automation patterns is a plus.
  • Exposure to vector databases, semantic models, or MLOps/LLMOps concepts is a plus.
  • Strong analytical and problem-solving skills, with the ability to collaborate effectively within technical teams.
Education, Certifications, and/or Other Professional Credentials
  • Bachelor's degree in Computer Science, Engineering, or a related technology field
Hours and Work Schedule
  • Hours per Week: 40
  • Work Schedule: Monday through Friday

About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

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