AI Data Engineer

Job #: 042947
Location Syracuse, NY
Pay Range: $89,000 –
$95,000
Hours:
Standard University business hours

8:30am âEUR” 5:00pm (academic year)
8:00am âEUR” 4:30pm
(summer)

Hours may vary based on operational needs.

Job Type: Full-time

Job
Description:

The AI Data Engineer leverages AI-assisted tools (e.g., code generation, chat-style assistants, agentic
workflows) to accelerate pipeline development, documentation, and problem-solving that transforms structured and unstructured data into
enterprise-ready assets to power AI and analytics solutions. Built on Microsoft Fabric, Syracuse University’s standard data and analytics
platform, this role bridges raw data sources with generative AI applications across OneLake, ensuring data quality, compliance, and
scalability. Joining an established Enterprise Data & AI team already building in Fabric, the AI Data Engineer serves as a key technical
contributor to large-scale, university-wide initiatives, both current and emerging, that advance institutional strategy. At times, the
incumbent may be dedicated to specific, university initiatives or partner units based on institutional priorities and cross-departmental
projects.

Education and Experience:

• Bachelor’s degree in Artificial Intelligence, Computer Science, Data
  Science, or related field, or equivalent combination of education and experience.
• 4+ years of experience in data engineering, AI/ML
  integration, or enterprise IT.
• Experience in a higher education IT environment preferred.

Skills and
Knowledge:

• Expertise in data wrangling for structured and unstructured data.
• Proficiency in SQL and at least one programming language (Python, Java, or C#).
• Experience with Microsoft Fabric (OneLake,
  Data Factory, Real-Time Intelligence, Fabric IQ, notebooks) and comparable data platforms
• Proficiency with Power BI and semantic
  modeling (data modeling, relationships, DAX, and OneLake-integrated semantic models) to enable trusted
  self-service analytics.
• Familiarity with API development, microservices, and Model Context Protocol
  (MCP) integrations.
• Experience with cloud infrastructure (Azure, AWS, GCP), containerization (Docker, Kubernetes), and serverless platforms (e.g., Logic Apps).
• Familiarity in
  deploying AI/ML platforms (Azure AI Foundry, Google Vertex, Amazon Bedrock, OpenAI, etc.).
• Demonstrated familiarity using
  generative AI tools to improve personal and team productivity.
• Understanding of data governance, privacy, and ethical AI
  principles.
• Strong problem-solving, analytical, and collaboration skills.
• Excellent written and verbal communication
  skills, including the ability to translate complex technical concepts for non-technical audiences and to deliver presentations,
  demonstrations, and briefings to campus stakeholders and leadership.

Responsibilities:

Data
Engineering & Pipeline Development
Design and implement scalable pipelines that ingest, clean, transform, and aggregate data
from diverse sources (ERP, LMS, research systems, APIs, and external datasets) into
formats optimized for AI and analytics. Ensure data quality, integrity, and reproducibility through robust engineering
practices.

Integration & Platform Support
Build connectors, workflows, and APIs to unify and operationalize data
across cloud and on-premises platforms. Support deployment and lifecycle management of AI/ML models, ensuring seamless integration with
enterprise applications.

Governance, Security & Compliance
Maintain metadata, lineage, and documentation to
support transparency and auditability. Ensure adherence to Syracuse University’s ISF, FERPA, HIPAA, and other regulatory requirements, while applying ethical AI and data governance
principles.

Collaboration & Stakeholder Engagement
Gather and translate requirements from academic and
administrative units to deliver tailored solutions aligned with institutional priorities. Represent AI/ML teams in cross-campus meetings,
working groups, and governance bodies. Deliver presentations and demonstrations to technical and non-technical
audiences.

Innovation & Mentorship
Provide technical mentorship on data engineering and integration best
practices. Anticipate and scale for future institutional needs (e.g., MCP, serverless, containerization, and
generative AI) to drive innovation in data and AI adoption.

About Syracuse University:

Syracuse
University is a private, international research university with distinctive academics, diversely unique offerings, and an undeniable spirit.
Located in the geographic heart of New York State, with a global footprint, and over 150 years of history, Syracuse University offers a
quintessential college experience.

The scope of Syracuse University is a testament to its strengths: a pioneering history dating back
to 1870; a choice of more than 200 majors, 100 minors, and 200 advanced degree programs offered across the University’s 13 schools and
colleges; over 15,000 undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a
student population from all 50 U.S. states and 123 countries. For more information, please visit http://www.syracuse.edu.

About the Syracuse area:

Syracuse is a medium-sized city situated in the geographic center of New York State
approximately 250 miles northwest of New York City. The metro-area population totals approximately 500,000. The area offers a low cost of
living and provides many social, cultural, and recreational options, including parks, museums, festivals, professional regional theater, and
premier shopping venues. Syracuse and Central New York present a wide range of seasonal recreation and attractions ranging from water skiing
and snow skiing, hiking in the Adirondacks, touring the historic sites, visiting wineries along the Finger Lakes, and biking on trails along
the Erie Canal.

Application Deadline:
Full Consideration By:

To apply, visit https://www.sujobopps.com/postings/113882

Syracuse University is an
equal-opportunity institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender,
national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran
status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions,
employment, and access to and treatment in University programs, services, and activities.

Syracuse University has a long
history of engaging veterans and the military-connected community through its educational programs, community outreach, and employment
programs. After World War II, Syracuse University welcomed more than 10,000 returning veterans to our campus, and those veterans literally
transformed Syracuse University into the national research institution it is today. The University’s contemporary commitment to veterans
builds on this historical legacy, and extends to both class-leading initiatives focused on making an SU degree accessible and affordable to
the post-9/11 generation of veterans, and also programs designed to position Syracuse University as the employer of choice for military
veterans, members of the Guard and Reserve, and military family members.

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