2 months ago

Senior Software Engineer - Java Streaming - Connectors

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Software Engineer responsible for building and maintaining JVM-based data integration tooling and connectors within ClickHouse’s data engineering ecosystem. You will own end-to-end data framework integrations (drivers, SDKs, connectors) to enable high-performance data ingestion, processing, and analytics at scale, collaborating with open-source communities and enterprise users to set new performance and developer experience standards.

Location: Canada

Workplace: Remote

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own the full lifecycle of data framework integrations — from the core database driver to SDKs and connectors that make ClickHouse feel native in JVM-based applications.
•Build and maintain high-performance, scalable data integration components that process billions of records per second and optimize data throughput over the wire.
•Collaborate with the open-source community, internal teams, and enterprise users to ensure JVM integrations meet performance, reliability, and developer experience standards.
•Focus on memory management, garbage collection tuning, and concurrent programming to maximize throughput and efficiency of data pipelines.
•Contribute to JDBC, network protocols, and data integration tooling, with an emphasis on open-source development and tooling for the JVM ecosystem.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceTime OffEquityRemote WorkHome Office

Key Requirements

•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 (beyond simple ETL jobs).

Experience:6+ yearsBig dataData integrationOpen-sourceCloud

Skills:JavaJVMSQLData modelingQuery optimizationOLAPConcurrencyGC tuningMemory managementTCP/IPHTTPJDBCPandasPythonSparkFlinkKafka ConnectBeamReactDocker

Languages:English

Tech Stack:JavaJVMSparkFlinkKafka ConnectApache BeamJDBCTCP/IPHTTPPandasPythonSQLGarbage collectionMemory managementConcurrency

Company Brief

ClickHouse

Develops ClickHouse, a high-performance open-source columnar database for real-time analytics, enabling fast querying and processing of large volumes of data for analytics, monitoring, and business intelligence workloads.

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn

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ClickHouse

2 months ago

Senior Software Engineer - Java Streaming - Connectors

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Remote

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own the full lifecycle of data framework integrations — from the core database driver to SDKs and connectors that make ClickHouse feel native in JVM-based applications.
•Build and maintain high-performance, scalable data integration components that process billions of records per second and optimize data throughput over the wire.
•Collaborate with the open-source community, internal teams, and enterprise users to ensure JVM integrations meet performance, reliability, and developer experience standards.
•Focus on memory management, garbage collection tuning, and concurrent programming to maximize throughput and efficiency of data pipelines.
•Contribute to JDBC, network protocols, and data integration tooling, with an emphasis on open-source development and tooling for the JVM ecosystem.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceTime OffEquityRemote WorkHome Office

Key Requirements

•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 (beyond simple ETL jobs).

Experience:6+ yearsBig dataData integrationOpen-sourceCloud

Skills:JavaJVMSQLData modelingQuery optimizationOLAPConcurrencyGC tuningMemory managementTCP/IPHTTPJDBCPandasPythonSparkFlinkKafka ConnectBeamReactDocker

Languages:English

Tech Stack:JavaJVMSparkFlinkKafka ConnectApache BeamJDBCTCP/IPHTTPPandasPythonSQLGarbage collectionMemory managementConcurrency

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn