Hybrid Data Engineer

at Tanium

• Job title: Data Engineer
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $95,000 - $280,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Cloud, ETL, Java, JavaScript, Python, SDLC, SOAP
• Location requirements: Hybrid, Bellevue, United States

About the role

• Data Engineer focusing on data integrations and ETL pipeline development at Tanium. Collaborate with IT and Engineering, providing scalable data solutions and ensuring data governance standards.

Responsibilities

• Design, develop, and maintain scalable, enterprise-grade ETL pipelines to extract, transform, and load data across internal and external systems.
• Build secure, high-performance integrations between on-prem and cloud-based platforms, ensuring reliability, consistency, and timely data delivery.
• Architect and manage data ingestion processes from systems such as Salesforce, NetSuite, SuccessFactors, Coupa, and other corporate applications.
• Identify and implement internal process improvements including automation, data quality controls, and optimization of data delivery.
• Ensure compliance with data governance, security, and privacy policies across all integration workflows.
• Analyze complex business and technical requirements to design scalable data integration solutions.
• Lead efforts to modernize and rationalize legacy integrations and optimize existing data pipelines for performance and maintainability.
• Collaborate cross-functionally to design and implement frameworks that enhance data accessibility and usability across teams.
• Monitor integration performance, troubleshoot issues, and proactively implement improvements or system upgrades as needed.
• Develop and manage infrastructure-as-code and CI/CD practices for data pipeline deployment, version control, and change management.
• Create, maintain, and continually update documentation for all integration workflows, data models, and process automation scripts.
• Ensure timely root-cause analysis and resolution of data or system integration incidents.
• Work directly with stakeholders from IT, Finance, HR, and Engineering to align integration and reporting initiatives with business objectives.
• Partner with external vendors or service providers to implement and maintain robust integration solutions.
• Act as a technical advisor within the business systems team, contributing best practices for integration design and development.

Requirements

• Bachelor's degree in computer science, Information Systems, Engineering, or related field, or equivalent practical experience.
• 7+ years of professional experience in data engineering, data integration, or system integration roles within enterprise environments.
• Proven success in building, maintaining, and scaling ETL pipelines using dedicated ETL or data integration tools.
• Strong knowledge of data modeling, APIs (RESTful/SOAP), and data warehousing concepts.
• Experience designing integrations across diverse systems in cloud and on-premises environments.
• Proficiency in Python, Java, or JavaScript for scripting and automation.
• Hands-on experience with data warehouse technologies (e.g., Snowflake or similar) and workflow orchestration frameworks (e.g., Airflow or equivalent).
• Demonstrated ability to diagram and communicate end-to-end data flows across complex system landscapes.
• Familiarity with modern DevOps and CI/CD practices for data engineering environments.
• Strong understanding of SDLC frameworks, change management, and IT governance processes.

Benefits

• medical, dental and vision plan
• family planning benefits
• health savings account
• flexible spending account
• transportation savings account
• 401(k) retirement savings plan with company match
• life, accident and disability coverage
• business travel accident insurance
• employee assistance programs
• disability insurance
• other well-being benefits