[Remote] Senior Software Engineer at Clickhouse

United States

Clickhouse Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Database Systems, Data & Analytics, Big Data, Cloud ComputingIndustries

Requirements

Candidates should have 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions. Proven 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 such as Apache Spark, Flink, Beam, or Kafka Connect. Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases. A track record of building scalable data integration systems. Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling. Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns. 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. Prior contributions to open-source projects, familiarity with ClickHouse or similar high-performance data platforms, and working knowledge of Python are considered bonus points.

Responsibilities

As a Senior Software Engineer specializing in JVM-based frameworks, you will serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. You will craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale. You will own the full lifecycle of data framework integrations, from the core database driver to SDKs and connectors. You will collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

Skills

JVM
Data Engineering
Database Integrations
SDKs
Connectors
SQL
Kafka
dbt
Spark
Flink
Beam
Fivetran
Grafana
Tableau
Power BI
Metabase
High-performance databases
OLAP

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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