Intellectt Inc

Lead Data Engineer - W2 Only

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer in Berkeley Heights, NJ, on a long-term W2 contract. Requires 10+ years of data engineering experience, strong AWS expertise, proficiency in Python/PySpark/SQL, and leadership skills in data-driven initiatives.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Berkeley Heights, NJ
-
🧠 - Skills detailed
#Microsoft Power BI #Data Science #Cloud #ML (Machine Learning) #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Lambda (AWS Lambda) #Data Governance #AI (Artificial Intelligence) #Python #AWS (Amazon Web Services) #Security #SQL (Structured Query Language) #Leadership #Apache Spark #Compliance #Data Engineering #Data Pipeline #S3 (Amazon Simple Storage Service) #Redshift #Scala #Hadoop #DevOps #PySpark #Spark (Apache Spark)
Role description
Job Title: Lead Data Engineer Location: Berkeley Heights, NJ (Day 1 Onsite) Employment Type: Long-Term Contract (W2) Job Description: We are seeking a highly skilled Lead AWS Data Engineer with strong hands-on experience in building scalable data solutions on AWS. The ideal candidate will have deep expertise in data engineering, cloud technologies, and leading data-driven initiatives. Key Responsibilities: • Design, develop, and maintain scalable data pipelines using AWS services • Lead end-to-end data engineering solutions from ingestion to transformation and loading • Work closely with cross-functional teams including Data Scientists, Analysts, and Architects • Optimize and monitor data workflows for performance, reliability, and cost-efficiency • Implement data governance, security, and compliance best practices • Mentor junior engineers and provide technical leadership • Collaborate with stakeholders to understand business requirements and translate them into technical solutions Required Skills: • 10+ years of experience in Data Engineering • Strong hands-on experience with AWS services (S3, Glue, Redshift, Lambda, EMR), Power BI, AI/ML, AI native, AI Devlopment, AI Chatbot • Proficiency in Python / PySpark / SQL • Experience with ETL/ELT pipeline development • Strong knowledge of data warehousing concepts • Experience with Apache Spark / Hadoop ecosystem • Familiarity with CI/CD pipelines and DevOps practices • Excellent problem-solving and communication skills