AI/ML Data Engineer (W2 Only) 9+ Years

Hi Jobseekers,

I hope you are doing well!

We have an excellent opportunity with one of our clients and would like to share the details with you. Please find the job description below and let me know if this role interests you.

If you would like to proceed, kindly share a copy of your updated resume along with your contact details and a convenient time for us to connect.

Job Title: Data Engineer (AI/ML & BI)

Location: Berkeley Heights, NJ
Contract

Job Summary

We are looking for a skilled Data Engineer with strong experience in AI/ML (Artificial Intelligence / Machine Learning) and Power BI (BI) to join our team in Berkeley Heights, NJ. The ideal candidate will collaborate closely with Product Management and Project Management teams to design, build, and optimize scalable data pipelines that power analytics, reporting, and advanced AI-driven solutions.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and ETL processes.
• Collaborate with Product Managers and Project Management teams to align data solutions with business goals.
• Support and enable AI/ML (Artificial Intelligence / Machine Learning) initiatives by preparing high-quality datasets.
• Build and optimize data models for Power BI / BI dashboards and reporting systems.
• Ensure data quality, governance, and security across platforms.
• Work with cross-functional teams including Data Scientists, AI Engineers, and stakeholders.
• Monitor and troubleshoot data workflows and ensure high availability and performance.
• Participate in agile project management processes, including sprint planning and delivery tracking.

Required Skills & Qualifications

• Strong experience as a Data Engineer / Data Engineers / Data-Engineer / DataEngineer.
• Hands-on experience with AI / ML / Machine Learning / Artificial Intelligence / AI-ML solutions.
• Proficiency in SQL, Python, and data engineering frameworks (Spark, Hadoop, Airflow, etc.).
• Experience working with Power BI / Power-BI / PowerBI / BI tools for reporting and analytics.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Strong understanding of data warehousing and data modeling concepts.
• Experience collaborating with Product Management and Project Management teams.
• Knowledge of version control systems (Git) and CI/CD pipelines.

Thanks & Regards

Shankar Singh