Senior Data Engineer: Scalable Data Platforms for AI

Vizient; Chicago (IL); On-site; USD 102,000 - 179,000; Full time

Job summary

Vizient is seeking a senior data engineer in Chicago to design, build, and scale enterprise data products powering analytics, benchmarking, AI, and decision-support solutions. You will develop modern data pipelines using Databricks and cloud-native technologies, collaborating with product, analytics, and business teams to transform complex data into trusted, scalable solutions.

You will mentor engineers, contribute to data modernization, and help establish governance, security, and operational

Qualifications

• 5+ years of relevant experience in data engineering or related field.
• Strong experience with Databricks, Apache Spark, Python and SQL.
• Experience designing production-grade data pipelines and data platforms.
• Experience developing cloud-based data solutions (Azure, AWS, or Google Cloud).
• Experience implementing CI/CD, automated testing, monitoring, and deployment for data solutions.
• Experience with data governance, lakehouse architectures, and metadata management.

Responsibilities

• Design, build, and scale data ingestion, transformation, and delivery pipelines.
• Develop curated data products to support analytics, reporting, AI, and decision-making.
• Collaborate with product, analytics, and business teams to translate requirements into data solutions.
• Modernize assets and notebooks into governed, production-ready data products.
• Implement data quality, observability, lineage, security, and monitoring practices.
• Mentor engineers and contribute to data architecture and governance initiatives.

Education

Relevant degree preferred

Tools

Databricks

Apache Spark

Python

SQL

CI/CD

Data Modeling

Delta Lake

Unity Catalog

Job description

Vizient is seeking a senior data engineer in Chicago to design, build, and scale enterprise data products powering analytics, benchmarking, AI, and decision-support solutions. You will develop modern data pipelines using Databricks and cloud-native technologies, collaborating with product, analytics, and business teams to transform complex data into trusted, scalable solutions.

You will mentor engineers, contribute to data modernization, and help establish governance, security, and operational