Senior Data Engineer

Senior Data Engineer Client of Insight Global | Long-term Opportunity | AWS Transformation Project Duration: 6-month contract with likely extension and possible conversion Location: Remote - Minnesota Required Skills & Experience • 5+ years of Data Engineering experience • Strong Python engineering background (beyond scripting; production-grade pipelines) • Proven experience designing & implementing AWS lakehouse architectures • Core AWS services: S3, Glue, Athena, Glue Data Catalog, Lake Formation, CloudWatch • Experience with open table formats (Iceberg preferred) • Knowledge of Slowly Changing Dimensions (SCD Type 2) • Strong communication and documentation skills Nice to Have Skills & Experience • Experience with Quicksight, Tableau, or Cognos • Familiarity with EKS-based orchestration (EMR on EKS, Argo Workflows) • DataOps practices & CI/CD for data pipelines • Infrastructure-as-code with Terraform or CloudFormation • Exposure to data quality frameworks (Deequ, Great Expectations) • 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