Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a 6-month contract, paying up to $70/hr W2. It requires 4-5 years of AWS data engineering experience, advanced Python skills, and expertise in lakehouse architectures and Apache Iceberg. Remote work is available in Minneapolis MN or Denver CO.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
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🗓️ - Date discovered
September 20, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Greater Minneapolis-St. Paul Area
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🧠 - Skills detailed
#Slowly Changing Dimensions #Cloud #"ETL (Extract #Transform #Load)" #DataOps #Documentation #SQL (Structured Query Language) #S3 (Amazon Simple Storage Service) #Scala #Python #Data Catalog #AWS (Amazon Web Services) #Data Layers #Data Engineering #Terraform #Apache Iceberg #Delta Lake #Argo #Data Quality #Tableau #Athena #Data Pipeline
Role description
6 month contract
W2 only
Up to $70/hr. W2 DOQ
Remote: Minneapolis MN OR Denver CO
We are seeking Senior Data Engineers with deep expertise in building scalable, cloud-native data platforms on AWS. This is a hands-on engineering role focused on designing and implementing modern lakehouse architectures using some AWS managed services, open table
formats(Iceberg) and compute running in our EKS/Argowf environments.
Advanced Python Engineering Skills
• Strong proficiency in Python for data engineering tasks.
• Experience with modular, testable code and production-grade pipelines.
• Not looking for SQL-heavy DBAs or analysts; this is a software engineering role.
• AWS Lakehouse Architecture Expertise
• Proven experience designing and implementing lakehouse architectures on AWS.
• Experience with key AWS services: S3, Glue, Athena, Glue Data Catalog, Lake Formation, Quicksights, CloudWatch, etc.
• Experience with AWS Quicksights(Preferred), Tableau or Cognos
• ETL Pipeline Development
• Bonus: Experience with EKS-based orchestration using EMR on EKS or Argo Workflows.
• Open Table Formats
• Deep understanding of Apache Iceberg (preferred), Delta Lake, or Apache Hudi.
• Experience implementing time-travel, schema evolution, and partitioning strategies.
• Medallion Architecture Implementation
• Experience designing and implementing Bronze, Silver, and Gold data layers.
• Understanding of ingestion, transformation, and curation best practices.
• Slowly Changing Dimensions (SCD Type 2)
• Solid grasp of SCD2 semantics and implementation strategies in distributed data systems.
• Strong communication and documentation skills.
• Ability to work independently and collaborate with cross-functional teams, including tech leads, architects, and product managers.
Degree or Certification required?
• None
Years of Experience?
• 4-5 within data engineering / AWS
Nice to Haves?
• Experience with DataOps practices and CI/CD for data pipelines.
• Familiarity with Terraform or CloudFormation for infrastructure-as-code.
• Exposure to data quality frameworks like Deequ or Great Expectations.
• Undergrad degree
• Iceberg on AWS
6 month contract
W2 only
Up to $70/hr. W2 DOQ
Remote: Minneapolis MN OR Denver CO
We are seeking Senior Data Engineers with deep expertise in building scalable, cloud-native data platforms on AWS. This is a hands-on engineering role focused on designing and implementing modern lakehouse architectures using some AWS managed services, open table
formats(Iceberg) and compute running in our EKS/Argowf environments.
Advanced Python Engineering Skills
• Strong proficiency in Python for data engineering tasks.
• Experience with modular, testable code and production-grade pipelines.
• Not looking for SQL-heavy DBAs or analysts; this is a software engineering role.
• AWS Lakehouse Architecture Expertise
• Proven experience designing and implementing lakehouse architectures on AWS.
• Experience with key AWS services: S3, Glue, Athena, Glue Data Catalog, Lake Formation, Quicksights, CloudWatch, etc.
• Experience with AWS Quicksights(Preferred), Tableau or Cognos
• ETL Pipeline Development
• Bonus: Experience with EKS-based orchestration using EMR on EKS or Argo Workflows.
• Open Table Formats
• Deep understanding of Apache Iceberg (preferred), Delta Lake, or Apache Hudi.
• Experience implementing time-travel, schema evolution, and partitioning strategies.
• Medallion Architecture Implementation
• Experience designing and implementing Bronze, Silver, and Gold data layers.
• Understanding of ingestion, transformation, and curation best practices.
• Slowly Changing Dimensions (SCD Type 2)
• Solid grasp of SCD2 semantics and implementation strategies in distributed data systems.
• Strong communication and documentation skills.
• Ability to work independently and collaborate with cross-functional teams, including tech leads, architects, and product managers.
Degree or Certification required?
• None
Years of Experience?
• 4-5 within data engineering / AWS
Nice to Haves?
• Experience with DataOps practices and CI/CD for data pipelines.
• Familiarity with Terraform or CloudFormation for infrastructure-as-code.
• Exposure to data quality frameworks like Deequ or Great Expectations.
• Undergrad degree
• Iceberg on AWS
