AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with a contract length of "unknown" and a pay rate of "unknown." It requires strong Python skills, experience with AWS services (S3, Glue, Athena), and expertise in data architecture and ETL pipelines. Hybrid work location.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 11, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Greenwood Village, CO
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🧠 - Skills detailed
#Python #S3 (Amazon Simple Storage Service) #Argo #Documentation #Data Integrity #Data Engineering #"ETL (Extract #Transform #Load)" #Tableau #Data Processing #Athena #Apache Iceberg #Data Layers #Data Architecture #Data Management #AI (Artificial Intelligence) #Scala #Code Reviews #Delta Lake #AWS (Amazon Web Services)
Role description
We are seeking a talented AWS Data Engineer to join our innovative team, where you'll develop scalable AWS native platforms and data layers. This hybrid role offers flexibility and the chance to work on cutting-edge projects in a collaborative environment.
Responsibilities
• Design and implement scalable data architectures using AWS services.
• Develop and maintain ETL pipelines to support data processing and analytics.
• Collaborate with cross-functional teams to deliver high-quality data solutions.
• Ensure data integrity and implement best practices for data management.
• Participate in code reviews and contribute to the continuous improvement of processes.
Skills
• Strong expertise in Python for data engineering tasks.
• Proven experience with AWS services like S3, Glue, and Athena.
• Ability to design and implement lakehouse architectures.
• Experience with data layer implementation and SCD Type 2 strategies.
• Excellent communication and documentation skills.
Preferred Skills
• Experience with AWS Quicksights, Tableau, or Cognos.
• Familiarity with EKS-based orchestration using EMR on EKS or Argo Workflows.
• Understanding of Apache Iceberg, Delta Lake, or Apache Hudi.
At Horizontal, we believe in fostering an inclusive environment where diversity, equity, and inclusion are at the core of our company culture. We welcome candidates from all backgrounds to apply and join our dynamic team.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.
We are seeking a talented AWS Data Engineer to join our innovative team, where you'll develop scalable AWS native platforms and data layers. This hybrid role offers flexibility and the chance to work on cutting-edge projects in a collaborative environment.
Responsibilities
• Design and implement scalable data architectures using AWS services.
• Develop and maintain ETL pipelines to support data processing and analytics.
• Collaborate with cross-functional teams to deliver high-quality data solutions.
• Ensure data integrity and implement best practices for data management.
• Participate in code reviews and contribute to the continuous improvement of processes.
Skills
• Strong expertise in Python for data engineering tasks.
• Proven experience with AWS services like S3, Glue, and Athena.
• Ability to design and implement lakehouse architectures.
• Experience with data layer implementation and SCD Type 2 strategies.
• Excellent communication and documentation skills.
Preferred Skills
• Experience with AWS Quicksights, Tableau, or Cognos.
• Familiarity with EKS-based orchestration using EMR on EKS or Argo Workflows.
• Understanding of Apache Iceberg, Delta Lake, or Apache Hudi.
At Horizontal, we believe in fostering an inclusive environment where diversity, equity, and inclusion are at the core of our company culture. We welcome candidates from all backgrounds to apply and join our dynamic team.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.
