1

Data Engineer Manager Jobs in Liverpool, NY (NOW HIRING)

AI Data Engineer

Syracuse, NY · On-site

$89K - $95K/yr

Support deployment and lifecycle management of AI/ML models, ensuring seamless integration with ... Innovation & Mentorship Provide technical mentorship on data engineering and integration best ...

Manufacturing Engineer Manager

Syracuse, NY · On-site

$108K - $134K/yr

Job Summary The Manager, Manufacturing Engineering is responsible for leading and managing a team ... Data Analysis: Analyze production data to identify areas for improvement and implement solutions.

Data Analytics Engineer

Syracuse, NY · On-site

$113K - $135K/yr

As a Data Analytics Engineer, you will play a critical role in enabling data-driven decision-making ... management, lineage, and compliance with security and regulatory standards. • Optimize data ...

Enterprise Data Architect

Syracuse, NY · On-site

$130 - $200/hr

Partner with engineering, analytics, and business teams to operationalize scalable data products ... Deep expertise in enterprise data lifecycle management including data modeling, integration ...

Manufacturing Engineer III

Syracuse, NY · On-site

$89K - $123K/yr

... and risk management methodologies Proficiency with manufacturing data analysis, ERP/MES systems, and engineering tools Ability to synthesize complex technical information into actionable ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Program Quality Engineer Sr

Liverpool, NY

$85K - $115K/yr

The QPM is responsible to develop and manage the Quality financial scope. QPM analyzes quality performance data (manufacturing data, engineering design metrics), identifies recurring issues, drives ...

Program Quality Engineer Sr

Liverpool, NY · On-site

$85K - $115K/yr

... Engineering, Supplier Quality, and Production Operations Quality - through all areas of the program ... develop and manage the Quality financial scope. • QPM analyzes quality performance data ...

Develop and manage large datasets. Communicate summaries and conclusions drawn from data in clear ... Previous experience programming in software languages such as Python, R, C, MATLAB, etc.

next page

Showing results 1-20

Data Engineer Manager information

See Liverpool, NY salary details

$42.7K

$124.6K

$170.4K

How much do data engineer manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer manager in Liverpool, NY is $124,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $132,000.00 per year, depending on experience, location, and employer.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What cities near Liverpool, NY are hiring for Data Engineer Manager jobs? Cities near Liverpool, NY with the most Data Engineer Manager job openings:

$89K - $95K/yr

Full-time

Posted 18 days ago


Job description

Posting Details
Posting Details
Job #
042947
Department Code
20701-9701
Department
Information Technology Services
Job Title
AI Data Engineer
Location
Syracuse, NY
Campus
Syracuse, NY
Commitment to On-Campus Experience
Syracuse University is committed to delivering an exceptional student experience through vibrant, engaged campus communities. This position is based at the above campus location and requires regular in-person presence to support our students, collaborate with colleagues, and contribute to our thriving academic environment. Syracuse University values the collaboration, mentorship, and spontaneous connections that happen when our community works together on campus. Remote work arrangements are limited in accordance with University policy.
Pay Range
$89,000 - $95,000
Pay Determination
Pay rates at Syracuse University are based on a combination of factors including, but not limited to, the job responsibilities; the candidate's education, training, work experience and key competencies; the university's strategic priorities; internal peer equity; applicable federal, state, local laws, grant funding and contractual requisites; and external market analyses.
Staff Level
S5
FLSA Status
Exempt
Hours
Standard University business hours
8:30am - 5:00pm (academic year)
8:00am - 4:30pm (summer)
Hours may vary based on operational needs.
Job Type
Full-time
Unionized Position Code
Not Applicable
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 SupportBuild 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 & ComplianceMaintain 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 EngagementGather 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 & MentorshipProvide 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.
Physical Requirements
Not Applicable
Tools/Equipment
Not Applicable
Application Instructions
In addition to completing an online application, please attach a resume and cover letter.
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.
EEO Statement
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.
Commitment to Supporting and Hiring Veterans
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.
Commitment to a Respectful and Welcoming Community
Syracuse University fosters a welcoming learning environment where students, faculty, administrators, staff, curriculum, social activities, governance, and all aspects of campus life reflect a broad range of perspectives and experiences. The University community values the many similarities and differences among individuals and groups. At Syracuse, we are committed to preparing students to engage with and appreciate the richness of backgrounds, beliefs, and experiences that shape our society. To achieve this, we strive to cultivate a community that respects and encourages open dialogue, understanding, and mutual respect.
Quick Link
https://www.sujobopps.com/postings/113882
Job Posting Date
07/23/2026
Application Deadline
Full Consideration By
Job Category
Staff
Message to Applicants