Aptimized
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Pentaho) on a 6-month contract, 100% remote. Requires expertise in Pentaho and AWS Glue, focusing on migration from Pentaho to AWS Glue. Key skills include PySpark, ETL, and AWS services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
16
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🗓️ - Date
July 22, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#IAM (Identity and Access Management) #GitHub #Deployment #Athena #Scala #Migration #Documentation #Lambda (AWS Lambda) #Spark (Apache Spark) #Data Pipeline #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Logging #Monitoring #S3 (Amazon Simple Storage Service) #Data Modeling #Data Engineering #PySpark #Cloud #Data Integration #AWS Glue
Role description
Title: Data Engineer (Pentaho)
100% REMOTE
Term: 6 months
Rate: Open.
MUST HAVE PENTAHO and AWS GLUE background.
Migration from Pentaho to AWS Glue is Mandatory
Immediate Contract Resource – Pentaho → AWS Glue Migration
Role Overview Seeking an experienced Data Integration Engineer to provide immediate contract support for a Pentaho ETL to AWS Glue migration. This role is focused on accelerating the transition from legacy Pentaho jobs to a modern, scalable, serverless data pipeline on AWS.
Key Responsibilities
• Assess existing Pentaho ETL jobs, transformations, and schedules.
• Re‑architect and migrate workflows into AWS Glue (PySpark/Scala), ensuring performance, reliability, and maintainability.
• Build and optimize Glue Jobs, Crawlers, Workflows, and Catalog integrations.
• Collaborate with internal data engineering teams to validate data flows, dependencies, and business logic.
• Implement CI/CD best practices for Glue deployments (CodeCommit, CodePipeline, or GitHub).
• Ensure proper logging, monitoring, and alerting using CloudWatch and related AWS services.
• Provide knowledge transfer and documentation for internal teams.
Required Skills & Experience
• Strong hands-on experience with Pentaho Data Integration (PDI).
• Proven expertise in AWS Glue, PySpark, and AWS data ecosystem (S3, Lambda, Athena, IAM).
• Solid understanding of ETL/ELT patterns, data modeling, and pipeline orchestration.
• Ability to quickly analyze legacy systems and translate them into cloud-native architectures.
• Excellent communication and documentation skills.
Title: Data Engineer (Pentaho)
100% REMOTE
Term: 6 months
Rate: Open.
MUST HAVE PENTAHO and AWS GLUE background.
Migration from Pentaho to AWS Glue is Mandatory
Immediate Contract Resource – Pentaho → AWS Glue Migration
Role Overview Seeking an experienced Data Integration Engineer to provide immediate contract support for a Pentaho ETL to AWS Glue migration. This role is focused on accelerating the transition from legacy Pentaho jobs to a modern, scalable, serverless data pipeline on AWS.
Key Responsibilities
• Assess existing Pentaho ETL jobs, transformations, and schedules.
• Re‑architect and migrate workflows into AWS Glue (PySpark/Scala), ensuring performance, reliability, and maintainability.
• Build and optimize Glue Jobs, Crawlers, Workflows, and Catalog integrations.
• Collaborate with internal data engineering teams to validate data flows, dependencies, and business logic.
• Implement CI/CD best practices for Glue deployments (CodeCommit, CodePipeline, or GitHub).
• Ensure proper logging, monitoring, and alerting using CloudWatch and related AWS services.
• Provide knowledge transfer and documentation for internal teams.
Required Skills & Experience
• Strong hands-on experience with Pentaho Data Integration (PDI).
• Proven expertise in AWS Glue, PySpark, and AWS data ecosystem (S3, Lambda, Athena, IAM).
• Solid understanding of ETL/ELT patterns, data modeling, and pipeline orchestration.
• Ability to quickly analyze legacy systems and translate them into cloud-native architectures.
• Excellent communication and documentation skills.
