Signature IT World Inc
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and is remote. Key skills include AWS (S3, EC2, Lambda, Glue, Redshift), Databricks, Apache Spark, Python, SQL, and ETL/ELT development.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Irvine, CA
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🧠 - Skills detailed
#Data Engineering #PySpark #Delta Lake #Redshift #Data Pipeline #"ETL (Extract #Transform #Load)" #Python #Spark (Apache Spark) #Cloud #Databricks #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #DevOps #Data Quality #Scala #Databases #Data Science #Big Data #AWS (Amazon Web Services) #Lambda (AWS Lambda) #Apache Spark #Data Processing #Kafka (Apache Kafka) #EC2
Role description
We are looking for an experienced AWS Databricks Engineer with strong expertise in cloud data engineering, big data processing, and scalable ETL/ELT solutions.
Required Skills:
• AWS Services: S3, EC2, Lambda, Glue, Redshift
• Databricks & Apache Spark
• PySpark / Scala
• Python & SQL
• ETL/ELT Pipeline Development
• Data Warehousing Concepts
• CI/CD & DevOps Practices
Preferred:
• Kafka / Kinesis Streaming
• Delta Lake Architecture
• Strong analytical & communication skills
Responsibilities:
• Build and optimize scalable data pipelines on AWS
• Develop large-scale ETL/ELT workflows
• Process and transform data using Spark
• Integrate APIs, databases, and streaming platforms
• Ensure data quality, governance, and performance optimization
• Collaborate with data scientists, analysts, and engineering teams
We are looking for an experienced AWS Databricks Engineer with strong expertise in cloud data engineering, big data processing, and scalable ETL/ELT solutions.
Required Skills:
• AWS Services: S3, EC2, Lambda, Glue, Redshift
• Databricks & Apache Spark
• PySpark / Scala
• Python & SQL
• ETL/ELT Pipeline Development
• Data Warehousing Concepts
• CI/CD & DevOps Practices
Preferred:
• Kafka / Kinesis Streaming
• Delta Lake Architecture
• Strong analytical & communication skills
Responsibilities:
• Build and optimize scalable data pipelines on AWS
• Develop large-scale ETL/ELT workflows
• Process and transform data using Spark
• Integrate APIs, databases, and streaming platforms
• Ensure data quality, governance, and performance optimization
• Collaborate with data scientists, analysts, and engineering teams
