Senior Data Engineer - Cloud Data Pipelines & Snowflake
Docusign
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Benefits offered by this job
Job summary
Docusign is seeking a Sr. Data Engineer to deliver trusted data to the business within the Global Data Analytics team. You will design, develop, and maintain scalable data pipelines using Snowflake, AWS, and modern ETL tooling to load and transform large datasets for global stakeholders. This individual contributor role reports to the Sr. Manager, Data & Analytics.
Hybrid work with 2 days in‑office per week; California compensation includes a broad base salary with RSUs and a company bonus plan.
Qualifications
- Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, etc
- Experience developing data pipelines in Python or Java
- 8+ years dimensional and relational data modeling experience
- Experience with SQL and database management
Responsibilities
- Design, develop and maintain scalable and efficient data pipelines
- Analyze and develop data quality and validation procedures
- Work with stakeholders to understand the data requirements and provide solutions
- Troubleshoot and resolve data issues in a timely manner
- Collaborate with cross‑functional teams to ingest data from various sources
- Evaluate and improve data architecture and processes
- Own, monitor, and improve solutions to ensure SLAs are met
- Develop and maintain documentation for Data infrastructure and processes
- Execute projects using Agile Scrum methodologies. Team player
Skills
Education
Tools
Job description
Docusign is seeking a Sr. Data Engineer to deliver trusted data to the business within the Global Data Analytics team. You will design, develop, and maintain scalable data pipelines using Snowflake, AWS, and modern ETL tooling to load and transform large datasets for global stakeholders. This individual contributor role reports to the Sr. Manager, Data & Analytics.
Hybrid work with 2 days in‑office per week; California compensation includes a broad base salary with RSUs and a company bonus plan.
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