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Job Overview

Functional Area


Work preferred

Work from Office


Min Experience

1 Years

Max Experience

3 Years


Data Engineer: Data Engineering

Company Overview

DocuSign helps organizations connect and automate how they agree. Our flagship product, eSignature, is the world’s #1 way to sign electronically on practically any device, from virtually anywhere, at any time. Today, more than a million customers and a billion users in over 180 countries use DocuSign to accelerate the process of doing business and simplify people’s lives.

What you’ll 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 reports to the Senior Manager Data Warehouse

Basic Qualifications:

  • 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 Qualifications:

  • 1+ years in data warehouse engineering (OLAP) Snowflake, BigQuery, Teradata, Redshift
  • 3+ years with transactional databases (OLTP) Oracle, SQL Server, MySQL
  • 3+ years with big data, Hadoop, Data Lake, Spark in a cloud environment(AWS)
  • 3+ years with commercial ETL tools – dbt, Matillion, and SSIS/ADF
  • 3+ 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 building BI Dashboards with tools like Tableau
  • Experience in the financial domain, accounts payable, accounts receivable, invoicing
  • Experience managing work assignments using tools like Jira and Confluence
  • Experience with Scrum/Agile methodologies is a plus.
  • Ability to work independently and as part of a team
  • Excellent analytical and problem solving 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.


AnalyticsDashboardsData AnalyticsData ModelingEtlJiraOracleProblem SolvingPythonScrumSnowflakeSqlSql ServerTeradata