Data Engineer designing data pipelines in Python for a major railway industry client. Collaborate with Data Scientists and ensure code quality with agile methodologies.
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
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