Data Engineer designing and implementing scalable data architecture for HR and people analytics. Collaborating with teams to ensure reliable data pipelines and integration using modern technologies.
About the role
- Data Engineer developing scalable ETL pipelines and integrations for Tanium's data ecosystem. Collaborating with cross-functional teams to enhance data infrastructure and governance.
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 insurance
- Dental insurance
- Vision insurance
- Family planning benefits
- Health savings account
- Flexible spending account
- Transportation savings account
- 401(k) retirement savings plan with company match
- Life insurance
- Accident and disability coverage
- Business travel accident insurance
- Employee assistance programs
- Disability insurance
- Other well-being benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Data Engineer architecting and maintaining scalable data systems while collaborating with cross - functional teams at SpotOn, aimed at empowering independent restaurants.
Analytics & Data Engineer joining a data - driven team at Adlook, building data products and automating data pipelines. Collaborate across teams to enhance data analysis and AI functionality.
Data Engineer building data foundations for People Analytics at Notion. Designing data systems and collaborating with People leadership to enhance workforce decision - making.
T&T Consultant driving the growth of AI & Data solutions at Deloitte Southeast Asia. Leading client transformations through data, analytics, and intelligent automation.
Lead the Artificial Intelligence & Data team at Deloitte Southeast Asia. Drive IA business growth and deliver innovative solutions in data and analytics.
IT Senior Data Architect developing data solutions including data modeling, governance, and management for Eversource in a hybrid role.
Data Engineer building data solutions for Travelers' analytics team. Responsible for designing, building, and operationalizing complex data pipelines with a focus on AI and Machine Learning.
Senior Data Engineer designing and deploying complex data products in a collaborative environment focused on continuous improvement. Leading initiatives to optimize data solutions and ensuring technical excellence.
Data Engineer working closely with clients to develop sustainable data solutions. Engaging in consultancy and hands - on implementation within a hybrid role in Bruvo.