Data Engineer

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

About the role

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. 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 Sr. Manager, Data & Analytics.

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

Requirements

• Bachelor's Degree in Computer Science, Data Analytics, Information Systems, or related field
• Experience developing data pipelines in Python or Java
• 5+ years dimensional and relational data modeling experience
• Experience with SQL and database management

Preferred Qualifications

• 5+ years in data warehouse engineering (OLAP) with Snowflake, BigQuery, Teradata, or Redshift
• 5+ years with transactional databases (OLTP) such as Oracle, SQL Server, or MySQL
• 5+ years with big data, Hadoop, Data Lake, or Spark in a cloud environment (AWS)
• 5+ years with commercial ETL tools such as dbt, Matillion, SSIS, or ADF
• 5+ years delivering ETL solutions from source systems, databases, APIs, flat-files, or 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 AI-enabled SDLC development models (e.g., Claude Code, Cortex Coco, VSCode Copilot)
• Experience building BI Dashboards with tools like Tableau
• Experience in domains such as financial, marketing, sales, accounts payable, accounts receivable, or invoicing
• 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

Schedule

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. Minimum 2 days per week in-office; frequency may vary by team but will include a weekly in-office expectation.

Pay

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the pay range in California is $132,700.00 - $206,800.00 base salary.

This role is also eligible for the following bonuses:

• Sales personnel: variable incentive pay dependent on achievement of pre-established sales goals
• Non-Sales roles: company bonus plan calculated as a percentage of eligible wages and dependent on company performance

This role is eligible to receive Restricted Stock Units (RSUs).

Benefits

• Paid Time Off: earned time off and paid company holidays based on region
• Paid Parental Leave: 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