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Java Data Engineer Jobs in Syracuse, NY (NOW HIRING)

AI Data Engineer

Syracuse, NY ยท On-site

$89K - $95K/yr

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 ...

Strong knowledge in Java /J2EE application architecture and frameworks Web Application architecture ... Data flow in Web applications Hands on experience on design and development of J2EE web ...

Strong knowledge in Java /J2EE application architecture and frameworks Web Application architecture ... Data flow in Web applications Hands on experience on design and development of J2EE web ...

SW Engineer - Test Automation

Skaneateles, NY ยท On-site

$76K - $104K/yr

... Python, Java, or C#. * Create and execute automated test cases to ensure the quality and ... Implement test data management strategies to ensure accurate and efficient testing. * Develop and ...

Strong knowledge in Java /J2EE application architecture and frameworks Web Application architecture and design Webservices implementation and integration Strong knowledge on Data flow in Web ...

Java Data Engineer information

See Syracuse, NY salary details

$26

$59

$84

How much do java data engineer jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for java data engineer in Syracuse, NY is $59.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.18 and $67.45 per hour, depending on experience, location, and employer.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

What are the key skills and qualifications needed to thrive as a Java Data Engineer, and why are they important?

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.
What are popular job titles related to Java Data Engineer jobs in Syracuse, NY? For Java Data Engineer jobs in Syracuse, NY, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Syracuse, NY look for? The top searched job categories for Java Data Engineer jobs in Syracuse, NY are:
What cities near Syracuse, NY are hiring for Java Data Engineer jobs? Cities near Syracuse, NY with the most Java Data Engineer job openings:

AI Data Engineer

Syracuse University

Syracuse, NY โ€ข On-site

$89K - $95K/yr

Full-time

Posted 7 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