Senior Data Quality & Governance Engineer

Stanford Health Care; California (MO); On-site; USD 91,637 - 121,421; Full time

Job summary

Stanford Health Care is seeking a highly experienced Senior Data Engineer to advance data governance capabilities. In this role, you will lead the optimization of the data governance infrastructure, ensuring seamless management across platforms like Databricks. You will also design a robust data quality management platform aimed at establishing high standards for data.

Responsibilities include creating complex data pipelines, collaborating with stakeholders, and troubleshooting data quality issues.

Qualifications

• Seven or more years of experience in healthcare technology, analytics, or business intelligence.
• Experience with Cloud Data Lake technologies.
• Ability to work independently with minimal supervision.

Responsibilities

• Design and create complex data pipelines for analytics.
• Collaborate with stakeholders to implement data solutions.
• Ensure adherence to data governance standards.
• Troubleshoot and resolve data quality issues.

Skills

Advanced knowledge of relational database concepts

Advanced data modeling skills

Ability to develop solutions in cloud data platforms

Expert knowledge of SQL

Proficient at using data across multiple domains

Strong communication skills

Education

BS/BA degree in Information Technology or related field

Tools

Databricks

Azure

PySpark

GitHub

Job description

Stanford Health Care is seeking a highly experienced Senior Data Engineer to advance data governance capabilities. In this role, you will lead the optimization of the data governance infrastructure, ensuring seamless management across platforms like Databricks. You will also design a robust data quality management platform aimed at establishing high standards for data.

Responsibilities include creating complex data pipelines, collaborating with stakeholders, and troubleshooting data quality issues.