Datum Technologies Group
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 10+ years of experience, focusing on AWS Glue, Lambda, and Apache Airflow. Contract length is "unknown," with a pay rate of "unknown." Strong SQL and Python/PySpark skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 28, 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
North Carolina, United States
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🧠 - Skills detailed
#Lambda (AWS Lambda) #Automation #Logging #Data Engineering #PySpark #Python #Monitoring #Apache Airflow #SQL (Structured Query Language) #AWS (Amazon Web Services) #IAM (Identity and Access Management) #Airflow #S3 (Amazon Simple Storage Service) #AWS IAM (AWS Identity and Access Management) #Data Architecture #"ETL (Extract #Transform #Load)" #Deployment #Spark (Apache Spark) #Cloud #GitHub #AWS Glue
Role description
Required Skills & Qualifications
• 10+ years of experience in Data Engineering or a related field.
• Strong hands-on expertise in AWS Glue, Lambda, EventBridge, and S3.
• Experience building and orchestrating workflows using Apache Airflow (MWAA preferred).
• Strong proficiency in SQL (Postgres preferred) for complex transformations and performance tuning.
• Experience with Python / PySpark for ETL development.
• Solid understanding of event-driven data architecture and pipeline design.
• Familiarity with AWS IAM, CloudWatch, and logging/monitoring frameworks.
• Experience with CI/CD pipelines (e.g., GitHub Actions) for deployment automation
Required Skills & Qualifications
• 10+ years of experience in Data Engineering or a related field.
• Strong hands-on expertise in AWS Glue, Lambda, EventBridge, and S3.
• Experience building and orchestrating workflows using Apache Airflow (MWAA preferred).
• Strong proficiency in SQL (Postgres preferred) for complex transformations and performance tuning.
• Experience with Python / PySpark for ETL development.
• Solid understanding of event-driven data architecture and pipeline design.
• Familiarity with AWS IAM, CloudWatch, and logging/monitoring frameworks.
• Experience with CI/CD pipelines (e.g., GitHub Actions) for deployment automation
