Enterprise Data Warehouse ETL/Data Engineer

Job not on LinkedIn

🕒 June 2

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CSpring

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

💼 Consulting

☁️ SaaS

B2B • Consulting • SaaS

CSpring is a consulting firm that specializes in unlocking the power and potential of data to achieve technology-enabled business goals. Founded in 1996, the company focuses on data-driven solutions that align with clients' business objectives, offering services such as data architecture, management, analytics, and reporting. With a team of full-time consultants, CSpring collaborates with both public and private sector clients to develop technology strategies, architect data solutions, build software, and create visualizations tailored to meet unique client needs. CSpring is also recognized as a certified Woman-owned Business Enterprise (WBE) and has been named a Best Place to Work in Indiana.

📋 Description

• Design and develop reusable, parameter-driven ingestion and transformation pipelines • Build and maintain medallion architecture solutions • Develop performant ELT workflows • Create and optimize PySpark notebooks and distributed processing jobs • Design dimensional data models • Implement data vault patterns • Optimize distributed SQL workloads • Implement CI/CD processes • Build monitoring, logging, and auditing solutions • Lead or contribute to cloud modernization initiatives

🎯 Requirements

• Deep hands-on expertise with Azure Data Factory • Strong experience with Azure Databricks and PySpark • Production experience with Azure Synapse Analytics • Strong understanding of Azure Data Lake Storage Gen2 • Experience with Azure Key Vault and Azure AD / Entra ID • Experience monitoring and troubleshooting data solutions • Advanced SQL skills • Strong Python skills • Proficiency with T-SQL and familiarity with Spark SQL

🏖️ Benefits

• Health insurance • Professional development opportunities