AWS Big Data Engineer with AI/ML
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Big Data Engineer with AI/ML in Seattle, WA, for a long-term contract. Requires 10+ years in data architecture, expertise in AWS Glue, Redshift, and Apache Iceberg, and proficiency in Python, Scala, or Java.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 24, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Big Data #SageMaker #Data Engineering #AI (Artificial Intelligence) #Snowflake #Java #AWS (Amazon Web Services) #IAM (Identity and Access Management) #Redshift #ML (Machine Learning) #Data Pipeline #Batch #Spark (Apache Spark) #Python #Leadership #Data Lake #"ETL (Extract #Transform #Load)" #Databricks #AWS Glue #Scala #Data Architecture #Kafka (Apache Kafka) #Apache Iceberg
Role description
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Title: AWS Big Data Engineer with AI/ML
Location: Seattle, WA - Onsite
Duration: Long term
1. Key Result Areas and Activities:
• Seeking a Data Engineer with 10+ years of hands-on data architecture experience designing and managing large-scale data lakes and warehouses.
• Solid understanding and hands-on experience with Apache Iceberg and AWS Glue
• Deep experience with AWS systems like Lake formation, IAM and Redshift.
• Proficiency in Python, Scala, or Java for ETL and custom tooling is essential.
• Proven expertise in complex schema and ERD design, maintaining data dictionaries, and developing real-time/batch data pipelines using tools like Kafka, Spark, or similar.
• AI/ML integration familiarity, leadership abilities, and strong problem-solving skills
1. Work and Technical Experience:
Essential Skills:
• Big Data Technologies
• AWS experience AWS Glue, Redshift, SageMaker
• Databricks
• Snowflake
• Building large pipelines
• Experience in data and ML lifecycle
