Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 6-12 month remote contract (CO, IL, MN residents). Pay is $61.50-72.35/hr. Requires 4-5+ years of Data Engineering, strong Python skills, AWS lakehouse architecture experience, and communication skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
576
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πŸ—“οΈ - Date discovered
September 23, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Greenwood Village, CO
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🧠 - Skills detailed
#Athena #DataOps #Terraform #Slowly Changing Dimensions #S3 (Amazon Simple Storage Service) #Documentation #AWS (Amazon Web Services) #Data Pipeline #"ETL (Extract #Transform #Load)" #Scala #Data Engineering #Argo #DBA (Database Administrator) #Data Catalog #Tableau #Scripting #Python #Data Quality #Cloud
Role description
Title: Senior Data Engineer Location: Remote to residents of CO, IL or MN Duration: 6-12 month contract with extensions, potential conversion Schedule: M-F 9am-5pm MST Pay Rate: 61.50-72.35/hr (W2 contract) Required Skills & Experience: β€’ 4–5+ years of Data Engineering experience β€’ Strong Python engineering background (beyond scripting; production-grade pipelines) Proven experience designing & implementing AWS lakehouse architectures β€’ Core AWS services: S3, Glue, Athena, Glue Data Catalog, Lake Formation, CloudWatch β€’ Experience with open table formats (Iceberg preferred) β€’ Knowledge of Slowly Changing Dimensions (SCD Type 2) β€’ Strong communication and documentation skills Nice to Have Skills & Experience: β€’ Experience with Quicksight, Tableau, or Cognos β€’ Familiarity with EKS-based orchestration (EMR on EKS, Argo Workflows) β€’ DataOps practices & CI/CD for data pipelines β€’ Infrastructure-as-code with Terraform or CloudFormation β€’ Exposure to data quality frameworks (Deequ, Great Expectations) β€’ Undergraduate degree (not required) Job Description: Insight Global is supporting a client that is going through a large-scale data transformation. We’re looking for a Senior Data Engineer with strong hands-on experience building scalable, cloud-native data platforms in AWS. This is a software engineering-focused role (not administrative/DBA-heavy) where you’ll design and implement modern lakehouse architectures using AWS managed services, open table formats (Iceberg preferred), and EKS/Argo-based compute environments. Pay range falls from $61.50-72.35/hr dependent on YOE.