Senior Data Platform Engineer, Data Products & Pipelines

Vizient, Inc.; Irving (TX); On-site; USD 102,000 - 179,000; Full time

Benefits offered by this job

Incentive eligible

Comprehensive benefits

Job summary

Vizient, Inc. is seeking a data engineering leader to design, build, and scale enterprise data products powering analytics, benchmarking, AI, and decision-support solutions.

You will craft modern data pipelines and reusable platform capabilities using Databricks and cloud-native tech, partnering with product, analytics, and business teams. You will mentor engineers, raise engineering standards, and contribute to data architecture initiatives, governance, and performance improvements, while

Qualifications

• 5+ years of relevant experience in data engineering.
• Strong experience with Databricks, Spark, Python and SQL.
• Experience building production-grade data pipelines and data platforms.
• Cloud-based data solutions on Azure, AWS or Google Cloud.
• CI/CD, automated testing, monitoring and deployment practices.
• Knowledge of data governance, metadata management, and Lakehouse architectures preferred.

Responsibilities

• Design and build scalable data ingestion, transformation, and delivery pipelines.
• Develop curated data products to support analytics, AI, and reporting.
• Collaborate with product, analytics, and business teams to translate requirements.
• Modernize assets into production-grade data products.
• Provide mentorship and code reviews to engineers.
• Evaluate emerging data technologies and improve platform capabilities.
• Develop technical documentation and engineering standards.

Skills

Databricks

Apache Spark

Python

SQL

Data pipelines

Education

Bachelor's degree

Tools

Azure

AWS

Google Cloud

Job description

Vizient, Inc. is seeking a data engineering leader to design, build, and scale enterprise data products powering analytics, benchmarking, AI, and decision-support solutions.

You will craft modern data pipelines and reusable platform capabilities using Databricks and cloud-native tech, partnering with product, analytics, and business teams. You will mentor engineers, raise engineering standards, and contribute to data architecture initiatives, governance, and performance improvements, while