Staff Analytics Engineer

WorkatoPalo Alto, CaliforniaRemotefull_timestaff

$123,531 – $175,000 USD

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

  • Design, build, and maintain scalable data pipelines to process and analyze large datasets, integrating data from various sources and ensuring data quality.
  • Develop and manage ETL processes to transform raw data into usable formats and create data models to support reporting and analytics.
  • Collaborate with operations analysts and other stakeholders to understand data requirements and deliver effective solutions.
  • Optimize data processing workflows for performance and scalability, implementing data validation and quality assurance processes.
  • Document data processes, troubleshoot issues, ensure data security and compliance, and manage multiple projects effectively.

Soft Skills

Data GovernanceData Security

Benefits

  • Remote Work

Culture

Flexible HoursWork-Life BalanceInnovation-DrivenAutonomous Teams

Requirements

Required: Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Business Analytics, Data Analytics, Information Systems, Statistics, Engineering (any field), or a related quantitative discipline
Regions: Us

Get jobs like this in your inbox

Weekly SQL, Dbt, Snowflake hiring trends and salary data — free.

Join 8 engineers getting weekly insights

Get market intelligence in your inbox

Free weekly insights on tech hiring trends, salaries, and in-demand stacks.

Already a subscriber? Sign in

About Workato
Industry: saas
Size: medium

Workato provides enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. It is a leader in Enterprise MCP, trusted by 50% of the Fortune 500, offering a cloud-native architecture for real-time orchestration at scale.

View company profile →
Compensation
Base salary: $123,531 – $175,000 USD