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Benefits & Perks
•Generous paid time off and holidays
•Competitive salary and equity package
•Flexible work arrangements
•Professional development budget
•Comprehensive health, dental, and vision insurance
•Team events and activities
•Equity
•Flexible Hours
•Learning
•Healthcare
Required Skills
Python
JavaScript
TypeScript
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Snowflake’s vision is to enable every organization to be data-driven. We’re at the forefront of innovation, helping customers realize the full potential of their data with our AI data cloud. We are now going far beyond the traditional data warehouse and helping customers unlock the power of the open data lakehouse architecture with significant investment in Open Source Analytics! Snowflake engineers are leading the way with innovations directly in OSS projects like Apache Iceberg, Apache Polaris (incubating), Apache Parquet and more!
As a Senior Software Engineer on the Open Source Analytics team, you’ll play a key role in building and evolving our open and interoperable data lake ecosystem. You’ll work on some of the most complex and exciting challenges in the enterprise data lake analytics area, all while collaborating closely with some of the best minds in the open source community! You will have a direct impact towards Snowflake’s mission of providing a truly open data lake architecture, free from vendor lock-in.
AS A SENIOR SOFTWARE ENGINEER ON THE OPEN SOURCE ANALYTICS TEAM, YOU WILL:
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Pioneer new and innovative technical capabilities in the Open Source Analytics community. You will define and build next-generation capabilities on top of critical lakehouse building blocks like interoperable table formats, data catalogs, file formats, and query engines.
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Design and implement features and enhancements for Apache Iceberg and Apache Polaris focusing on scalability, performance and usability such as Iceberg DML/DDL transactions, schema evolution, partitioning, time travel, and more.
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Collaborate with the Open source community by contributing code, participating in discussions and reviewing pull requests to ensure high quality contributions.
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Architect and build systems that integrate open source technologies seamlessly with Snowflake - enabling our customers to build and deploy massive data lake architectures across platforms and across cloud providers.
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Collaborate with Snowflake’s open-source team and the Apache Iceberg community to contribute new features and enhance the Iceberg table format and REST specification.
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Work on core data access control and governance features for Apache Polaris
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Contribute to our managed Polaris service, Snowflake Open Catalog, enabling customers to seamlessly manage and expand their data lake through Snowflake as well as other external query engines like Spark and Trino.
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Build tooling and services that automate data lake table maintenance, including compaction, clustering, and data retention for enhanced query performance and efficiency.
OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE:
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5+ years of experience designing and building scalable, distributed systems.
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Strong programming skills in Java, Scala, or C++ with an emphasis on performance and reliability.
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Deep understanding of distributed transaction processing, concurrency control, and high-performance query engines.
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Experience with open-source data lake formats (e.g., Apache Iceberg, Parquet, Delta) and the challenges associated with multi-engine interoperability.
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Experience building cloud-native services and working with public cloud providers like AWS, Azure, or GCP.
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A passion for open-source software and community engagement, particularly in the data ecosystem.
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Familiarity with data governance, security, and access control models in distributed data systems.
BONUS POINTS FOR EXPERIENCE WITH:
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Contributing to open-source projects, especially in the data infrastructure space.
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Designing or implementing REST APIs, particularly in the context of distributed systems.
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Managing large-scale data lakes or data catalogs in production environments.
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Working on highly-performant and scalable query engines such as Spark, Flink, or Trino.
WHY JOIN THE OPEN SOURCE ANALYTICS TEAM AT SNOWFLAKE?
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Be part of a pioneering effort to build the most open and interoperable data lake ecosystem in the industry.
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Work on a high-impact open-source project that solves real-world data challenges for enterprise customers across all industry verticals.
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Collaborate with some of the brightest minds in the data ecosystem, including core contributors and PMC members of Apache Iceberg and Apache Polaris (incubating).
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Have the opportunity to innovate in one of the fastest-growing and evolving areas in enterprise data, where you can make a direct impact on Snowflake’s growth and the broader open-source community.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
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About Snowflake

Snowflake
Publicsnowflake provides web applications and web hosting services.
1-50
Employees
Zürich
Headquarters
Reviews
3.6
1 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Positive performance reviews and raises
Opportunities to learn new technical skills
Career advancement with promotion
Cons
Role demotion after acquisition
Poor communication regarding promotions
Administrative inefficiencies with title updates
Salary Ranges
3,987 data points
Junior/L3
L3
L4
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist
277 reports
$252,858
total / year
Base
$171,306
Stock
$57,741
Bonus
$23,811
$190,229
$354,557
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 88%
Negative 12%
Interview Process
1
Application Review
2
Resume Screening
3
Initial Phone Screen
4
Technical Phone Screen
5
Technical Coding Round
6
Offer Discussion
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
News & Buzz
Mirae Asset Global Investments Co. Ltd. Has $18.04 Million Stake in Snowflake Inc. $SNOW - MarketBeat
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Tredence and Snowflake target IT, OT, and IoT convergence for smarter energy operations - Industrial Cyber
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Snowflake AI launches energy solutions suite for power generation and utility companies - Data Center Dynamics
Source: Data Center Dynamics
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5w ago