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Sr.Data engineer

Sr.Data engineer

Raks GroupChicago, IL, Illinois, USA
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Our client is seeking  Senior Data Engineer  to help modernize and scale our Business Intelligence data infrastructure. This role will be critical in transitioning our existing on-prem SQL Server–based dimensional data mart and SSIS pipelines into a cloud-native solution on  Google Cloud Platform (GCP)  using tools like  DBT ,  BigQuery , and other GCP-native services.

This is a hands-on engineering role focused on building robust, scalable data pipelines and enabling performant data models that power  Tableau  dashboards used throughout the organization.

Responsibilities :

  • Lead the migration of the existing SSIS-based ETL workflows to cloud-native pipelines using DBT and / or GCP tools such as Dataflow, Dataform, or Cloud Composer (Airflow).
  • Design and implement scalable, efficient data models in  BigQuery , following best practices for dimensional modeling.
  • Optimize and maintain existing SQL transformations, ensuring correctness and performance in the cloud.
  • Collaborate with BI developers and analysts to ensure data marts align with Tableau reporting needs.
  • Ensure data integrity, security, and lineage through testing, documentation, and observability practices.
  • Work with on-prem teams to phase out legacy systems and design transitional architectures where needed.
  • Establish best practices and mentor junior engineers on cloud-first data engineering patterns.

Qualifications : Required :

  • 5+ years of experience in data engineering with strong SQL and ETL skills.
  • Experience with  SSIS  and legacy SQL Server–based data marts.
  • Proficiency in  Google BigQuery  and / or similar cloud data warehouses.
  • Hands-on experience with  DBT  or modern transformation frameworks.
  • Strong knowledge of dimensional modeling and data warehousing principles.
  • Experience migrating on-prem pipelines to cloud platforms.
  • Familiarity with GCP-native services such as Cloud Storage, Pub / Sub, Dataflow, Composer, and IAM.
  • Strong knowledge of Healthcare Information Systems.
  • Preferred :

  • Experience supporting or integrating with  Tableau -based BI solutions.
  • Exposure to infrastructure-as-code tools like Terraform for GCP.
  • Knowledge of data observability tools and practices.
  • Comfortable with Git-based CI / CD for data pipeline deployments.
  • Nice to Have :

  • Familiarity with GCP networking and cost optimization strategies.
  • Experience with data validation or automated testing frameworks for pipelines.
  • Knowledge of metadata management or cataloging tools (e.g., Data Catalog, DataPlex).
  • What You'll Bring :

  • A builder's mindset with a bias for simplification and automation.
  • A collaborative approach to working with BI and application teams.
  • The ability to balance long-term platform scalability with short-term deliverables.
  • A passion for cloud innovation and data platform modernization.
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    Engineer • Chicago, IL, Illinois, USA

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