Job
Description
What youll do 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 Manager, Data Engineering. 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 Learn and leverage available AI tools for increased developer productivity 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 Executes projects using Agile Scrum methodologies and be a 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. Docusign reserves the right to change a positions job designation depending on business needs and as permitted by local law. What you bring 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 dimensional and relational data modeling experience Excellent SQL and database management skills 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 etc 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) Familiarity with Gen AI tools like Git Copilot and dbt copilot. Good understanding of Gen AI Application frameworks. Knowledge on any agentic platforms Experience building BI Dashboards with tools like Tableau Experience in the financial domain, sales and marketing, accounts payable, accounts receivable, 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 and communication skills Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-SA4 ","qualifications":" 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 dimensional and relational data modeling experience Excellent SQL and database management skills 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 etc 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) Familiarity with Gen AI tools like Git Copilot and dbt copilot. Good understanding of Gen AI Application frameworks. Knowledge on any agentic platforms Experience building BI Dashboards with tools like Tableau Experience in the financial domain, sales and marketing, accounts payable, accounts receivable, 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 and communication skills ","responsibilities":" 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 Manager, Data Engineering. 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 Learn and leverage available AI tools for increased developer productivity 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 Executes projects using Agile Scrum methodologies and be a team player
