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Trinity College

Data & AI Integrations Engineer

Hartford, CT · On-site

$115.50K - $138.70K/yr

Posting Details Position Information Title Data & AI Integrations Engineer Department LITS Regular or Temporary Regular Hours Per Week 40 FLSA Determination Exempt Weeks Per Year 52 Open Date 08/04 ...

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AspectTemp Data AiData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldUsually requires a degree in data science, statistics, or related field
Work EnvironmentTemporary or contract-based roles, often in various industriesFull-time or part-time roles within organizations
Industry UsageUsed across multiple industries for short-term projectsCommonly employed in finance, marketing, healthcare, and more
Search & Comparison IntentOften compared for temporary data rolesCompared for permanent data analysis positions

Temp Data Ai and Data Analyst roles share similar educational requirements and industry usage, but differ mainly in employment type. Temp Data Ai roles are temporary or contract-based, offering flexibility across industries, while Data Analysts are typically permanent staff within organizations. Understanding these differences helps job seekers find roles that match their career goals and work preferences.

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Data & AI Integrations Engineer

Data & AI Integrations Engineer

Trinity College

Hartford, CT • On-site

$115.50K - $138.70K/yr

Full-time

Posted 27 days ago

Job description

Posting Details
Position Information
Title
Data & AI Integrations Engineer
Department
LITS
Regular or Temporary
Regular
Hours Per Week
40
FLSA Determination
Exempt
Weeks Per Year
52
Open Date
08/04/2025
Open Until Filled
Yes
Full or Part Time
Full Time
Position Summary
Trinity is a highly selective, independent, nonsectarian liberal arts institution located in the capital city of Hartford, Connecticut. The college maintains a rigorous academic profile complemented by a vibrant co-curricular program. With more than 2,100 full-time undergraduate students, representing forty-three states and ninety-one countries, we consider our location in a culturally and socioeconomically diverse capital city to be among Trinity's most distinctive assets; and we cultivate strong connections with our surrounding neighbors and with institutions and organizations throughout Hartford and the region. As a preeminent liberal arts college in an urban setting, Trinity College prepares students to be bold, independent thinkers who lead transformative lives.
Our recently merged analytics and enterprise applications team is at the center of several current and planned initiatives that will enhance the College's ability to use data, analytics, and AI as strategic differentiators. As the Data & AI Integrations Engineer, you will design and build pipelines, data models, intelligent services, and the interconnectivity that power everything from our next-generation data platform and ERP to campus-wide knowledge management.
This is a hands-on, "full-stack data" role for someone who thrives on variety: one day you'll orchestrate a pipeline to load and transform new data into our Fabric lakehouse; the next you'll craft an API-driven integration, stand up a SharePoint knowledge hub, or prototype a chatbot that improves the Trinity digital experience for students, employees, and other constituents. Your work will contribute to our team's efforts to effectively manage data and reveal insights.
Duties and responsibilities include:
  • Design, develop, optimize, and operate data pipelines in Microsoft Fabric and related tools for the efficient collection, storage, transformation, and presentation of data.
  • Implement data quality, lineage, and metadata-driven practices to support high-quality, fit for purpose data products, supporting analytics, reporting, integration, and AI use cases.
  • Design, build, and operate secure integrations among enterprise applications, SaaS, on-prem systems, and external data sources using iPaaS, ELT tools, and custom code.
  • Co-administer the institutional data platform with repeatable patterns, CI/CD, and automation for enterprise-grade data solutions and maintain best practice templates for self-service development by power users.
  • Partner with application developers and administrators to prototype and operationalize AI/ML services, utilizing capabilities within Microsoft Fabric, Azure, M365, and other tools.
  • Partner with information security to ensure solutions align with best practices.
  • Co-administer SharePoint Online with a focus on enabling knowledge management capabilities and integration with Power BI and Fabric.
  • Translate business requirements from analysts and subject matter experts into resilient technical designs, while maintaining robust documentation of standards, processes, and designs.
  • Perform other related duties as assigned and based on departmental need.

Qualifications
  • A bachelor's degree in computer science, information systems, engineering, or a related field is preferred.
  • A minimum of 3-5 years of relevant work experience is required (5-8 years preferred).
  • Experience building production data pipelines and/or application integrations (preferably in a cloud environment).
  • Demonstrated expertise with SQL and at least one high-level programming language (preferably Python, R, and C#).
  • Demonstrated experience with APIs, authentication designs, and networking considerations.
  • Experience administering SharePoint Online sites and platforms, and other related Microsoft 365 workloads.
  • Working knowledge of AI/ML concepts and services, model evaluation, and prompt engineering.
  • Familiarity with data visualization tools (e.g., Power BI and Tableau), data preparation tools (e.g., Tableau Prep Builder), and survey administration tools (e.g., Qualtrics).
  • Strong problem-solving, analytical, time management, and communication skills.
  • Understanding of higher education data sets, concepts, business practices, and reporting requirements.
  • Ability to uphold a professional code of ethics and maintain confidentiality.

Special Instructions to Applicants
All applicants must apply online by submitting their resume, cover letter and three references.
Posting Number
S01049
Quick Link
https://trincoll.peopleadmin.com/postings/3625

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