{"schemaVersion":"jobsearcher.job.v1","id":"8559b7842ff547a12819c9ec","url":"https://jobsearcher.com/jobs/8559b7842ff547a12819c9ec","canonicalUrl":"https://jobsearcher.com/jobs/8559b7842ff547a12819c9ec","title":"Data Engineer – Databricks / Snowflake","description":"Data Engineer – Databricks / SnowflakeDuration: 6-12 months with possible extensionLocation: Chicago IL (Hybrid – 3 days a week onsite)Salary Range: $60- $63 an hour on W2/C2CPipeline Development Design| implement| and optimize scalable ETL/ELT pipelines using Databricks (PySpark| SQL| Delta Lake) to ingest structured and semi structured data from multiple sources (APIs| databases| streaming).Data Warehousing Build and maintain cloud data warehouse solutions (Snowflake / Azure Synapse) design star schemas| fact/dimension tables| and aggregate tables for high performance reporting.Data Modeling Create logical and physical data models for operational and analytical use cases; implement SCD Type 2| slowly changing dimensions| and data vault methodologies where Tuning Optimize Spark jobs| SQL queries| and data partitioning strategies to handle petabyte scale data with low & Quality Implement data quality checks| monitoring| and lineage using tools like Great Expectations or custom frameworks; enforce data governance policies (GDPR/CCPA).Collaboration Partner with data analysts| product managers| and engineers to translate business requirements into technical data solutions.CI/CD & Automation Automate deployment of data pipelines using Azure DevOps or GitHub Actions; maintain infrastructure as code (Terraform) for data resources.Essential Skills: We are seeking a skilled Data Engineer to join our growing data team in Chicago. In this role| you will design| build| and maintain robust data pipelines that power analytics| reporting| and machine learning initiatives. You will work hands on with Databricks on Azure| modern data warehousing platforms| and advanced data modeling techniques. This is a high impact position where you will own the end to end data lifecycle from ingestion to serving while collaborating closely with data scientists| analysts| and business stakeholders.Skills: Digital : Snowflake~Digital : Databricks Experience Required: 10 & Above","company":"Artech","rawCompany":"artech","city":"Chicago","state":"IL","isRemote":false,"isActive":true,"createdAt":"2026-09-11T06:41:04.803Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer – Databricks / Snowflake","description":"Data Engineer – Databricks / SnowflakeDuration: 6-12 months with possible extensionLocation: Chicago IL (Hybrid – 3 days a week onsite)Salary Range: $60- $63 an hour on W2/C2CPipeline Development Design| implement| and optimize scalable ETL/ELT pipelines using Databricks (PySpark| SQL| Delta Lake) to ingest structured and semi structured data from multiple sources (APIs| databases| streaming).Data Warehousing Build and maintain cloud data warehouse solutions (Snowflake / Azure Synapse) design star schemas| fact/dimension tables| and aggregate tables for high performance reporting.Data Modeling Create logical and physical data models for operational and analytical use cases; implement SCD Type 2| slowly changing dimensions| and data vault methodologies where Tuning Optimize Spark jobs| SQL queries| and data partitioning strategies to handle petabyte scale data with low & Quality Implement data quality checks| monitoring| and lineage using tools like Great Expectations or custom frameworks; enforce data governance policies (GDPR/CCPA).Collaboration Partner with data analysts| product managers| and engineers to translate business requirements into technical data solutions.CI/CD & Automation Automate deployment of data pipelines using Azure DevOps or GitHub Actions; maintain infrastructure as code (Terraform) for data resources.Essential Skills: We are seeking a skilled Data Engineer to join our growing data team in Chicago. In this role| you will design| build| and maintain robust data pipelines that power analytics| reporting| and machine learning initiatives. You will work hands on with Databricks on Azure| modern data warehousing platforms| and advanced data modeling techniques. 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