

Senior Data Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
576
-
ποΈ - Date discovered
September 23, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
Greenwood Village, CO
-
π§ - 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’ 4β5+ 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. Weβre 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 youβll 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.
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’ 4β5+ 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. Weβre 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 youβll 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.