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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Engineer - **Company:** Docusign, Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $146,400.0 - $235,375.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, ARM Architecture, Confluence, JIRA, Big Data, BigQuery, Cloud Computing, Information Systems, Databases, Data Architecture, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Entity Relationship Models, Apache Hadoop, Monitoring of Systems, JSON, Job Scheduling, Python (Programming Language), Microsoft SQL Server, MySQL, Online Analytical Processing, Online Transaction Processing, Oracle (Applications), Scrum Methodology, Systems Development Life Cycle, SQL Databases, SQL Server Integration Services, Tableau (Software), Teradata SQL, Datadog, Snowflake, Apache Spark, Data Lakes, Information Technology, Data Analytics, DocuSign, Data Pipelines, Text Files, Amazon Redshift - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3ba9a5d942e523c5 ## About the Role * 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 Preferred * 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 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 independently and as part of a team * Excellent analytical and problem solving skills ## Description 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. Responsibility * 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 Job Designation 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. 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