Senior Data Engineer, Snowflake
Product
$168-241.5k
+ Bonus and equity plan
3-5 days a week in office ( Menlo Park, CA)
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
$168-241.5k
+ Bonus and equity plan
3-5 days a week in office ( Menlo Park, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- We are looking for a skilled Snowflake Data Engineer to join our Product and Data Science team. The ideal candidate brings a solid background in data engineering, with deep expertise in Snowflake and cloud technologies
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Proven hands-on experience with Snowflake, including data modeling, ETL/ELT development, and performance tuning
- Advanced proficiency in Python, with experience scripting and automating data workflows
- Proven experience working with Spark for large-scale data processing
- Demonstrated experience building Streamlit applications integrated with Snowflake
- Strong command of SQL for complex data querying and analysis
- Familiarity with cloud platforms such as AWS, Azure, or GCP, and services like S3, Redshift, or BigQuery
- Strong problem-solving and communication skills
- Ability to thrive both independently and as part of a collaborative, fast-paced team environment
Desirable
- Master’s degree in Computer Science, Engineering, or a related discipline
- Strong understanding of data warehousing principles, architecture, and best practices
- Experience working within Agile development frameworks (e.g., Scrum, Kanban)
What the job involves
- In this role, you will design, build, and maintain robust data pipelines, ensuring our data infrastructure is scalable, reliable, and efficient. You will partner closely with product and data scientists, providing tools, automation, and best practices to accelerate their work, improve data quality, and ensure consistency across pipelines and dashboards
- Additionally, you will play a critical role in cost optimization for data operations, owning efficient data modeling and pipeline performance. This position is also key in building and scaling our enterprise data warehouse, helping to shape the future of our data ecosystem
- Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies
- Own and manage cost optimization for Product and Data Science team operations
- Optimize pipelines for performance, reliability, and efficiency
- Build and maintain dashboards and reporting platforms using Streamlit
- Collaborate with cross-functional teams to gather requirements and deliver robust data solutions
- Work with modern AI tools, including Cursor, to accelerate development
- Implement data governance, security best practices, and access control policies
- Develop and enforce data quality checks, SLA monitoring, and dependency tracking
- Utilize version control systems (e.g., Git) and manage deployment workflows
- Proactively troubleshoot and resolve data-related issues
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
SERIES G
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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