Search jobs > San Francisco, CA > Temporary > Senior data engineer

Senior Data Engineer

DocuSign
San Francisco, California, US
$134.9K-$217K a year
Full-time

Take the next step in your career now, scroll down to read the full role description and make your application.

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).

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 is an individual contributor role reporting to the Manager, Data & Analytics.

Responsibilities

  • 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 continuously
  • 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

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
  • 8+ years dimensional and relational data modeling experience
  • Experience with SQL and database management

Preferred

  • 8+ years in data warehouse engineering (OLAP) Snowflake, BigQuery, Teradata, Redshift
  • 8+ years with transactional databases (OLTP) Oracle, SQL Server, MySQL
  • 8+ years with big data, Hadoop, Data Lake, Spark in a cloud environment (AWS)
  • 8+ years with commercial ETL tools dbt, Matillion, and SSIS / ADF
  • 8+ 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 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 is a plus.
  • Ability to work independently and as part of a team
  • Excellent analytical and problem solving skills

Wage Transparency

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations :

California : $134,900.00 - $216,975.00 base salary

This role is also eligible for bonus, equity and benefits.

Global Benefits

  • Paid Time Off : earned time off, as well as paid company holidays based on region
  • Paid Parental Leave : take up to six months off with your child after birth, adoption or foster care placement
  • Full Health Benefits Plans : options for 100% employer paid and minimum employee contribution health plans from day one of employment
  • Retirement Plans : select retirement and pension programs with potential for employer contributions
  • Learning and Development : options for coaching, online courses and education reimbursements
  • Compassionate Care Leave : paid time off following the loss of a loved one and other life-changing events

Life At Docusign

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.

If you need such an accommodation, or a religious accommodation, during the application process, please contact us at [email protected].

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [email protected] for assistance.

J-18808-Ljbffr

3 days ago
Related jobs
Tampa Gardens Senior Living
San Francisco, California

As a Data Engineer in the Data Engineering team, you will own the tooling, frameworks, data pipelines, integrations, databases, schemas and the data integrity of this cluster. You are critical to both Finix, and our customers, in supplying the data that underpins key operations decisions, uncovers h...

Monte Carlo Data, Inc.
San Francisco, California

We are looking for a Senior Backend Engineer to take significant ownership in building Monte Carlo's cloud application for Data Observability. The needs of data engineers and analytics teams, such as with Snowflake, Databricks, Airflow, dbt, or many similar tools (our customers). As businesses incre...

CV Library
San Francisco, California

The Data Platform team works on building data infrastructures and data products to support business engineering teams. As a Software Development Engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. Establish sol...

INSPYR Solutions
San Francisco, California

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure to support the organization's data-driven initiatives. Databricks Certified Developer or Databricks Certified Data Engineer certification. Collaborate with cross-functional teams to und...

Sui
San Mateo, California

The Data Clean Rooms team builds services and applications that empower secure multi-party collaboration on sensitive data while preserving the privacy of the data. You will join a fast-paced collaborative team of engineers on the journey to provide customers with an integrated set of innovative cap...

Unreal Gigs
San Francisco, California
Remote

As a Senior Data Engineer, you'll play a critical role in designing, building, and maintaining our data infrastructure and pipelines. If you're a seasoned engineer with expertise in data engineering technologies and a passion for building robust data systems, we want you on our team. You'll work on ...

DG Heating and Air Conditioning Inc
Berkeley, California

Senior Machine Learning Operations and Data Engineer. We are achieving this by collecting diverse robot teleoperation data as well as human data at large scale and training billion-parameter, general-purpose robotic foundation models. Design, develop, and maintain scalable data pipelines and ETL pro...

Unity
San Francisco, California

Our Unity Data Services team strives to connect data from a multitude of sources into meaningful segments. Success for our team is incorporating more data and entities so that our modelling and reporting teams have critical segments of data. In this role you'll be unifying the data for Unity, bringi...

Motion Recruitment
California, United States

Leader in their industry, our exciting global SaaS construction platform client seeks a contract Senior Data Engineer. We are looking for a Senior Data Engineer to join our client’s Runtime Platform Group. As a Senior Data Engineer, you’ll be on a team building a secure, compliant SaaS platform for ...

Salesforce
San Francisco, California

We’re looking for an experienced and committed data engineer to build data pipelines and metrics for sales and marketing organization. The candidate will also have strong operational skills to drive efficiency and speed, expertise building repeatable data engineering processes, strong project manage...