Senior Cloud Data Analyst (Databricks/Python/Tableau)

TL;DR

Senior Cloud Data Analyst (Databricks/Python/Tableau): Troubleshoot and support complex cloud-based data lakehouse platforms with an accent on Databricks PySpark scripting, Tableau development, and data quality frameworks. Focus on monitoring applications, performance tuning, Agile delivery processes, and providing end-user technical support.

Location: Mostly remote, but occasional office visits to San Francisco (94107) required. Must be open to occasional on-call support (ET hours) and in-person onboarding/equipment pickup if needed.

Salary: $178,900–$235,000

Company

Staffing firm providing technical talent for data and cloud projects.

What you will do

• Troubleshoot and support complex data systems and cloud-based data lakehouse platforms.
• Develop PySpark scripts, automation, dashboards, and data quality frameworks in Databricks.
• Build and tune Tableau reports for performance.
• Monitor applications, provide production support, and maintain documentation/testing.
• Collaborate with business, development teams, and end-users in Agile/SAFe processes.

Requirements

• Databricks (PySpark, dashboards, data quality framework)
• Python/PySpark scripting, automation & debugging
• R/SparklyR
• Tableau development & performance tuning
• Experience with distributed teams and Agile/SAFe/Jira
• Strong communication and stakeholder management skills
• Must be open to occasional on-call support (ET hours)

Nice to have

• Starburst, Collibra, or Alteryx support/development
• Immuta security knowledge (RBAC/ABAC preferred)

Culture & Benefits

• Work with distributed teams in Agile environment.
• For assignments 13+ weeks: major medical, dental, vision, 401k, statutory sick pay.
• Reasonable accommodations for disabilities.
• Equal opportunity employer, E-Verify participant.