Job description
Senior Data Engineer
About the Role
We are seeking an experienced Senior Data Engineer with expertise in Snowflake and dimensional data modeling to join our data team. The ideal candidate will architect, build, and maintain scalable data solutions that transform raw data into valuable business insights.
Key Responsibilities
- Design, develop, and maintain data pipelines within the Snowflake ecosystem
- Create and optimize dimensional data models following Kimball methodology
- Implement data quality checks and monitoring systems
- Collaborate with analytics teams to understand business requirements and translate them into technical solutions
- Mentor junior team members and promote best practices in data engineering
- Perform ETL/ELT development to integrate data from multiple sources
- Optimize data warehouse performance and manage cloud resources efficiently
- Document data architectures, models, and transformation processes
Required Qualifications
- 5+ years of experience in data engineering roles
- 3+ years of hands-on experience with Snowflake, including performance optimization
- Strong expertise in dimensional data modeling (star schema, snowflake schema)
- Proficiency in SQL and at least one programming language (Python preferred)
- Experience designing and implementing data pipelines using modern tools
- Knowledge of data warehouse concepts and best practices
- Proven experience with data transformation frameworks and tools
Preferred Skills
- Experience with dbt (data build tool)
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience with version control systems (Git) and CI/CD pipelines
- Understanding of data governance and security principles
- Experience with business intelligence tools (Tableau, Looker, Power BI)
Company Overview:
PandaDoc empowers more than 60,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
Company Culture:
We’re known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they’re happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
Check out our LinkedIn to learn more.
Benefits:
Employees may be able to purchase company stock (or receive annual bonuses)
Employees (and their families) may enroll in the company’s medical, dental, vision, short & long term disability, life insurance, FSA and 401k plans. Employees will also receive 13.34+ hours of paid time off per month, 6 self care days, birthday PTO day, and 10 company-paid holidays off per year
The annual OTE is up to $180,000.
Application deadline: 5/12/25
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS:
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
