Lead Analytics Engineer

Workato
Palo Alto, United States of America
30 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 175K

Job location

Remote
Palo Alto, United States of America

Tech stack

Data analysis
Information Systems
Continuous Integration
Data Validation
Information Engineering
Data Governance
ETL
Data Security
Relational Databases
Document-Oriented Databases
Python
Netsuite
Salesforce
SQL Databases
Data Ingestion
Snowflake
Zapier
Information Technology
Data Analytics
Data Management
Data Pipelines

Job description

  • Design, build, and maintain scalable data pipelines to process and analyze large datasets
  • Integrate data from various sources, ensuring data quality and consistency
  • Develop and manage ETL processes to transform raw data into usable formats
  • Create and maintain data models to support reporting and analytics
  • Work closely with operations analysts and stakeholders to understand data requirements and deliver solutions
  • Optimize data processing workflows for performance and scalability
  • Implement data validation and quality assurance processes to ensure accuracy and reliability
  • Document data processes, workflows, and systems for transparency and knowledge sharing
  • 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
  • Become Workato Automation Pro I, II, and III certified to create recipes facilitating data ingestion and auditing
  • Full-time telecommuting is an option

Requirements

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, and two (2) years of experience in the job offered or in a related occupation., (1) SQL; (2) dbt; (3) Snowflake; (4) Salesforce; (5) Predictive Analysis; (6) Data Governance; (7) Relational Databases; (8) CI/CD; (9) Data Modeling; (10) SchemaChange; (11) Python; (12) NetSuite, Must be legally authorized to work in the U.S. without sponsorship

Benefits & conditions

4.14.1 out of 5 stars Palo Alto, CA Remote $123,531 - $175,000 a year - Full-time, Salary: $123,531.00-175,000.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

About the company

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com, Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. 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

Apply for this position