Sr. Data Engineer IT Infrastructure & Operations

• 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

• Continuously 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

• 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 position's 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
   

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

  • Excellent SQL and database management skills