Staff Integration Engineer
Chainalysis$110,000 - $150,000/year
Full Time
Senior (5 to 8 years)
[Remote] Senior Software Engineer - Data Integration & JVM Ecosystem at Clickhouse
United States
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries
Requirements
- 6+ years of software development experience
- Experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam
- Experience developing or extending connectors, sinks, or sources for at least one big data processing framework
- Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Strong proficiency in Java and the JVM ecosystem
- Solid experience with concurrent programming in Java
- Outstanding written and verbal communication skills
- Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire
- Passion for open-source development
- Familiarity with ClickHouse or similar high-performance data platforms (bonus)
Responsibilities
- Own the full lifecycle of data framework integrations
- Craft tools that enable Data Engineers to harness ClickHouse's speed and scale
- Build the foundation that thousands of Data engineers rely on for their most critical data workloads
- Collaborate with the open-source community, internal teams, and enterprise users
- Ensure JVM integrations set the standard for performance, reliability, and developer experience
- Work on high-performance database engineering and developer experience
- Develop or extend connectors, sinks, or sources for big data processing frameworks
- Contribute to the development of scalable data integration systems
- Collaborate with the team to ensure seamless integration with the tools users already know and love
Clickhouse
High-speed column-oriented database management system
About Clickhouse
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.
San Francisco, CaliforniaHeadquarters
2021Year Founded
$291.8MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees
Benefits
Health Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Stock Options
Home Office Stipend
Risks
Redpanda Serverless poses a competitive threat in real-time data processing.
Integration challenges with PeerDB may delay expected benefits.
Dependency on Supabase could pose operational risks.
Differentiation
ClickHouse's column-oriented design offers superior speed for analytical queries.
The open-source model allows flexible deployment across various environments.
Integration with Grafana enhances data visualization capabilities.
Upsides
Partnership with Alibaba Cloud boosts presence in the Chinese market.
Acquisition of PeerDB enhances real-time analytics capabilities.
Launch of ClickPipes improves data processing efficiency for real-time updates.
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