• Sr. Data Engineer

    Insight Global (Greenwood Village, CO)


    Job Description

    Senior Data Engineer

     

    Client of Insight Global | Long-term Opportunity | AWS Transformation Project

     

    Duration: 6 month contract with likely extension and possible conversion

     

    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

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

    Skills and Requirements

    • 4–5+ 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 • 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)