Data Engineer

Docusign • San Francisco, CA

2d • Hybrid

About The Position

Docusign is seeking a talented and results oriented Data Engineer to focus on delivering trusted data to the business. As a member of the Global Data Analytics (GDA) Team, the Data Engineer leverages a variety of technologies to design, develop and deliver new features in addition to loading, transforming and preparing data sets of all shapes and sizes for teams around the world. During a typical day, the Engineer will spend time developing new features to analyze data, develop solutions and load tested data sets into the Snowflake Enterprise Data Warehouse. The ideal candidate will demonstrate a positive “can do” attitude, a passion for learning and growing, and the drive to work hard and get the job done in a timely fashion. This individual contributor position provides plenty of room to grow -- a mix of challenging assignments, a chance to work with a world-class team, and the opportunity to use innovative technologies such as AWS, Snowflake, dbt, Airflow and Matillion. This position is an individual contributor role reporting to the Senior Manager, Data Engineering.

Requirements

• Basic Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, etc
• Experience developing data pipelines in one of the following languages: Python or Java
• 5+ years of dimensional and relational data modeling experience
• Experience with SQL and database management

Nice To Haves

• 5+ years in data warehouse engineering (OLAP) Snowflake, BigQuery, Teradata, Redshift
• 5+ years with transactional databases (OLTP) Oracle, SQL Server, MySQL
• 5+ years with big data, Hadoop, Data Lake, Spark in a cloud environment(AWS)
• 5+ years with commercial ETL tools – dbt, Matillion, and SSIS/ADF
• 5+ years delivering ETL solutions from source systems, databases, APIs, flat-files, JSON
• Experience developing Entity Relationship Diagrams with Erwin, SQLDBM, or equivalent
• Experience working with job scheduling and monitoring systems (Airflow, Datadog, AWS SNS)
• Experience with Claude Code, Cortex Coco, VSCode copilot, AI enabled SDLC development models
• Experience building BI Dashboards with tools like Tableau
• Experience in financial, Marketing, Sales, accounts payable, accounts receivable, or invoicing domains
• Experience managing work assignments using tools like Jira and Confluence
• Experience with Scrum/Agile methodologies
• Ability to work independently and as part of a team
• Excellent analytical and problem solving skills

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 continuously
• 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

Benefits

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).
• Global benefits provide options for the following: Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level