Cyberobotix
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Berkeley Heights, NJ, with a contract length of "unknown." Pay rate is "unknown." Key skills include AWS, Python, PySpark, SQL, and experience with data modeling and big data technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#Scala #SQL (Structured Query Language) #Spark (Apache Spark) #PySpark #SageMaker #Security #Spark SQL #Data Quality #Visualization #Lambda (AWS Lambda) #Big Data #AWS (Amazon Web Services) #Microsoft Power BI #Data Engineering #ML (Machine Learning) #S3 (Amazon Simple Storage Service) #Terraform #BI (Business Intelligence) #TensorFlow #Data Pipeline #Data Lake #AI (Artificial Intelligence) #Infrastructure as Code (IaC) #"ETL (Extract #Transform #Load)" #Snowflake #Redshift #Data Science #Apache Spark #Python #Data Warehouse #Athena #Data Modeling #AWS S3 (Amazon Simple Storage Service) #Cloud #Hadoop #Batch
Role description
Job Title: Lead Data Engineer / Sr Data Engineer
Location: Berkeley Heights, NJ
Key Skills Required
· AWS (S3, Redshift, Glue, Lambda, EMR, Athena)
· Data Engineering & Data Modeling (Star Schema, Snowflake, Dimensional Modeling)
· Python, PySpark, SQL
· Big Data Technologies (Hadoop, Spark)
· Infrastructure as Code (Terraform)
· AI/ML integration basics
· Visualization tools (Power BI)
Roles & Responsibilities
· Design, develop, and maintain scalable data pipelines for batch and real-time processing using AWS services
· Build and optimize data lakes and data warehouses using Amazon S3, Redshift, and Glue
· Develop robust ETL/ELT pipelines using Python, PySpark, and SQL
· Implement efficient data modeling techniques such as star schema and dimensional modeling
· Work with large-scale distributed systems using Hadoop and Apache Spark
· Integrate AI/ML models into data pipelines to support advanced analytics
· Automate infrastructure provisioning using Terraform (IaC)
· Ensure data quality, governance, and security across pipelines
· Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders
· Develop dashboards and reports using Power BI for business insights
· Monitor and optimize performance of data pipelines and cloud resources.
· Exposure to AI/ML frameworks (SageMaker, TensorFlow, etc.)
Job Title: Lead Data Engineer / Sr Data Engineer
Location: Berkeley Heights, NJ
Key Skills Required
· AWS (S3, Redshift, Glue, Lambda, EMR, Athena)
· Data Engineering & Data Modeling (Star Schema, Snowflake, Dimensional Modeling)
· Python, PySpark, SQL
· Big Data Technologies (Hadoop, Spark)
· Infrastructure as Code (Terraform)
· AI/ML integration basics
· Visualization tools (Power BI)
Roles & Responsibilities
· Design, develop, and maintain scalable data pipelines for batch and real-time processing using AWS services
· Build and optimize data lakes and data warehouses using Amazon S3, Redshift, and Glue
· Develop robust ETL/ELT pipelines using Python, PySpark, and SQL
· Implement efficient data modeling techniques such as star schema and dimensional modeling
· Work with large-scale distributed systems using Hadoop and Apache Spark
· Integrate AI/ML models into data pipelines to support advanced analytics
· Automate infrastructure provisioning using Terraform (IaC)
· Ensure data quality, governance, and security across pipelines
· Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders
· Develop dashboards and reports using Power BI for business insights
· Monitor and optimize performance of data pipelines and cloud resources.
· Exposure to AI/ML frameworks (SageMaker, TensorFlow, etc.)
