Senior Software Engineer - Database Integrations

Details

We are the company behind the popular open-source, high performance columnar OLAP database management system for real-time analytics. ClickHouse works 100-1000x faster than traditional approaches. By offering a true column-based DBMS, it allows for systems to generate reports from petabytes of raw data with sub-second latencies. With an amazing community already adopting our open-source technology, we are now embracing our journey in delivering Cloud first solutions to delight our customers.

With top adopters such as Lyft, Cisco, and eBay - not only do our products work at lightning speed, so do we. We are an open and collaborative company. Our colleagues are curious, engaged and excited about what they do. If you want to work in an environment where you can learn, grow, be an agent of change and have your voice heard - then please read on!

Responsibilities

• Build Scalable Systems: Design and develop a high-performance data onboarding platform capable of handling petabytes of data in real-time.
• Integrate Diverse Datastores: Build robust integrations with a variety of data sources (e.g., MySQL, Mongo, Iceberg), data storages (e.g., Snowflake, Redshift, ClickHouse), and object storages (e.g., S3, GCS).
• Leverage ClickHouse: Create solutions that enable users to fully harness ClickHouse’s exceptional performance and throughput.
• Collaborate Across Teams: Work closely with internal teams to ensure the platform aligns with customer needs and business objectives.
• Drive Innovation: Lead and influence technical discussions, continuously identifying and implementing improvements.

Requirements

• Experience: 5+ years of industry experience building high-scale, data-intensive software solutions.
• Expertise: Proficient in Golang (preferred) or Java, with deep experience in distributed systems and microservices architecture.
• Data Engineering Skills: Strong background in designing and implementing robust ETL pipelines and an understanding of data replication methodologies such as CDC.
• Cloud-Native Proficiency: Solid experience with cloud-native architecture and infrastructure, with hands-on knowledge of at least one major CSP.
• Kubernetes: Practical experience with Kubernetes (K8s), including debugging and managing distributed systems at scale.
• Problem Solver: Exceptional production debugging skills, with the ability to navigate and solve complex technical issues in fast-paced environments.
• High Autonomy: Thrives in a high-velocity setting with significant ownership and autonomy.
• Mindset: A founder’s mindset with a focus on impact, innovation, and delivering measurable results.
• Collaboration: Excellent communication skills and a track record of working effectively across teams.

Benefits

• Opportunity to work with cutting-edge technology at the intersection of data engineering and cloud-native infrastructure.
• Be part of a high-visibility team integral to the company’s success.
• Operate with autonomy, ownership, and the ability to drive meaningful impact in a rapidly evolving space.