Staff Analytics Engineer

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

• Business Insider

  named us an “enterprise startup to bet your career on”

• Forbes’ Cloud 100

  recognized us as one of the top 100 private cloud companies in the world

• Deloitte Tech Fast 500

  ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

• Quartz

  ranked us the #1 best company for remote workers

Responsibilities

As a senior technical contributor, you will play a critical role in shaping our data infrastructure and enabling self-service analytics across teams. This role is ideal for someone who thrives at the intersection of data engineering and business strategy, with a proven ability to design scalable systems and influence technical direction across departments.

In this role, you will be responsible for:

• Own the design and long-term strategy of scalable data pipelines and modeling infrastructure, ensuring alignment with business goals and analytics needs across the company
• Mentor junior data team members on best practices in data modeling, pipeline optimization, and documentation. Contribute to building a culture of data excellence
• Integrate data from various sources, ensuring data quality and consistency
• Develop and manage ETL (Extract, Transform, Load) processes to transform raw data into usable formats
• Architect and maintain scalable, modular data models in DBT that support analytical needs across teams and enable faster time to insights
• Partner with Product, Engineering, RevOps, and Business Leadership to shape how data is ingested, transformed, and consumed across the organization
• Optimize data processing workflows for performance and scalability
• Implement data validation and quality assurance processes to ensure the accuracy and reliability of data
• Document data processes, workflows, and systems for transparency and knowledge sharing
• Utilize tools and technologies such as SQL, DBT, Snowflake, and Salesforce
• Troubleshoot and resolve data-related issues and provide support for data-related inquiries
• Stay updated with the latest industry trends and best practices in data engineering and analytics
• Ensure data security and compliance with relevant regulations and standards
• Manage and prioritize multiple projects and tasks effectively to meet deadlines
• Drive initiatives that improve data governance, model scalability, and observability, proactively identifying areas for optimization across the data stack
• Obtain Workato Automation Pro I, II, and III certifications within your first 90 days and leverage them to lead automation workflows and data quality checks across pipelines

Requirements

• Bachelor’s degree or higher in Computer Science, Data/Business Analytics, Information Systems, Statistics, or relevant experience from previous employment
• 5 to 7 years of work experience in a data-related field
• Experience creating data pipelines in DBT & Snowflake
• Strong organizational skills and attention to detail are required to juggle multiple projects simultaneously
• Strategic mind who can dissect and organize analytically and for scale
• Diligent thinker who gets things done without overlooking important details

• Self-starter with the ability to drive projects from inception to completion
• Natural drive for innovation and creative problem solving
• Exceptional attention to detail and follow-through
• Excellent interpersonal skills, high energy, and enthusiasm, team-oriented, strong cross-group collaborator
• Manage multiple concurrent projects with multiple deadlines

For California applicants, the pay for this role may range between $100,000 - $131,000 plus variable, benefits, perks, and equity.