Sr Data Engineer

The role

The Senior Data Engineer builds and runs enterprise data products including master data, financial and revenue datasets, and reporting. You will work on Databricks with data ingested from Salesforce, NetSuite and product platforms.

What you will do

• Design, build and maintain batch and incremental pipelines on Databricks
• Own and extend MDM matching
• Build financial datasets with cross-functional teams
• Build and Maintain Documentation
• Ship data pipelines through CI/CD
• Understand Unity Catalog governance
• Join the on-call rotation and write runbooks and documentation
• Use AI-assisted engineering tools and evaluate new technology through POCs
• Reverse Engineer pipelines or code to upgrade or modernize

Required qualifications

• 4-6 years experience in data engineering
• Deep Knowledge in SQL, Python, Spark and Databricks
• Experience with Salesforce and/or NetSuite data
• Experience handling PII (masking and removal)
• Comfortable working independently and explaining data to non-technical stakeholders
• Bachelor’s or master’s degree in Computer Science, Engineering, or a related field

Nice to have

• AI-SDLC knowledge
• Best practices when using AI to assist in development
• Experience democratizing data for business users

About the company

MeridianLink uses enterprise data products including master data, financial and revenue datasets, AI usage reporting, and governed self-service reporting in Sigma.