Data Engineer

Company Overview

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. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity.

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).

Docusign is seeking a talented and results oriented Sr. 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 Sr. Manager, Data & Analytics.

• 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

Hybrid:
Employee divides their time between in‑office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in‑office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

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

• 5+ years in data warehouse engineering (OLAP) Snowflake, Big Query, 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 any of the financial, Marketing, Sales, accounts payable, accounts receivable, invoicing etc Domains
• Experience managing work assignments using tools like Jira and Confluence
• Experience with Scrum/Agile methodologies
• Ability to work…