Senior Data Engineer — Data Products & Platform Scale

Vizient, Inc.

Centennial (CO)

On-site

USD 102,000 - 179,000

Full time

7 days ago
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Job summary

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

You will develop modern data pipelines, curated data assets, and reusable platform capabilities using Databricks and cloud-native technologies, collaborating with product, analytics and business teams to transform complex data into trusted, scalable solutions.

Qualifications

  • 5 or more years of relevant experience required.
  • Strong experience with Databricks, Apache Spark, Python, and SQL required.
  • Experience designing and building production-grade data pipelines, data products, and data platforms required.
  • Experience developing cloud-based data solutions using Azure, AWS, Google Cloud, or comparable cloud technologies required.
  • Experience implementing CI/CD, automated testing, monitoring, and deployment practices for data solutions required.
  • Experience with data modeling, distributed processing, performance optimization, and large-scale data engineering preferred.

Responsibilities

  • Design and build scalable data ingestion, transformation, and delivery pipelines using Databricks, Apache Spark, Python, and SQL.
  • Develop curated data products that support analytics, benchmarking, reporting, AI, and operational decision-making.
  • Partner with product, analytics, and business teams to translate complex requirements into reliable and maintainable data solutions.
  • Modernize analytical assets, prototypes, and notebook-based solutions into governed, production-ready data products.
  • Implement data quality, observability, lineage, security, and operational monitoring practices.
  • Contribute to enterprise data architecture, metadata management, and data governance initiatives.
  • Optimize data pipelines and platforms for performance, reliability, scalability, and cost efficiency.
  • Develop reusable data platform capabilities and engineering patterns that accelerate delivery across products and business domains.
  • Lead feature-level technical design, story refinement, and solution development activities for complex data initiatives.
  • Collaborate with architects and engineering teams on product-level architecture and technical design decisions.
  • Troubleshoot complex data, platform, integration, and performance issues and implement sustainable solutions.
  • Mentor engineers through technical guidance, code reviews, knowledge sharing, and development support.
  • Evaluate emerging data technologies and recommend opportunities to improve platform capabilities and engineering practices.
  • Develop technical documentation, engineering standards, operational procedures, and continuous improvement practices.

Skills

CI/CD practices
Data quality monitoring
Mentoring
Collaboration
Problem solving

Education

Relevant degree preferred

Tools

Databricks
Apache Spark
Python
SQL

Job description

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

You will develop modern data pipelines, curated data assets, and reusable platform capabilities using Databricks and cloud-native technologies, collaborating with product, analytics and business teams to transform complex data into trusted, scalable solutions.

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