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 focusing on JVM-based data integration. Own and maintain critical parts of ClickHouse’s Data Engineering ecosystem, building high-performance data connectors and frameworks for JVM applications. Collaborate with OSS communities and enterprise users to optimize SQL/data throughput, memory management, and developer experience across real-time analytics workloads.

Location: United States

Workplace: Remote

Employment Type: Full time

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 for JVM-based applications.
•Serve as a core contributor, shaping the developer experience and performance for ClickHouse’s data engineering ecosystem.
•Develop or extend connectors, sinks, or sources for big data frameworks like Spark, Flink, Beam, or Kafka Connect.
•Collaborate with the open-source community, internal teams, and enterprise users to ensure high performance and reliability.
•Impact large-scale data workloads by enabling real-time analytics and observability across global infrastructures.

Pay and Benefits

Salary: USD 125,600 - 185,500 annually

Equity and Bonus:Equity

Perks:Remote WorkHealth InsuranceTime OffHome OfficeEquityGlobal Gatherings

Key Requirements

•6+ years of software development experience delivering data-intensive solutions.
•Proven experience with internals of Spark, Flink, Kafka Connect, or Apache Beam.
•Experience developing or extending connectors, sinks, or sources for Spark, Flink, Beam, or Kafka Connect.
•Strong understanding of database fundamentals: SQL, data modeling, query optimization, OLAP/analytical databases.
•Track record of building scalable data integration systems beyond simple ETL jobs.

Experience:6+ yearsBig dataData integrationData engineeringOpen source

Skills:CommunicationCollaborationProblem-solvingTeamworkLeadership

Languages:English

Tech Stack:JavaJVMSparkFlinkKafkaKafka ConnectBeamSQLJDBCTCP/IPHTTPPython

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: United States

Workplace: Remote

Employment Type: Full time

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 for JVM-based applications.
•Serve as a core contributor, shaping the developer experience and performance for ClickHouse’s data engineering ecosystem.
•Develop or extend connectors, sinks, or sources for big data frameworks like Spark, Flink, Beam, or Kafka Connect.
•Collaborate with the open-source community, internal teams, and enterprise users to ensure high performance and reliability.
•Impact large-scale data workloads by enabling real-time analytics and observability across global infrastructures.

Pay and Benefits

Salary: USD 125,600 - 185,500 annually

Equity and Bonus:Equity

Perks:Remote WorkHealth InsuranceTime OffHome OfficeEquityGlobal Gatherings

Key Requirements

•6+ years of software development experience delivering data-intensive solutions.
•Proven experience with internals of Spark, Flink, Kafka Connect, or Apache Beam.
•Experience developing or extending connectors, sinks, or sources for Spark, Flink, Beam, or Kafka Connect.
•Strong understanding of database fundamentals: SQL, data modeling, query optimization, OLAP/analytical databases.
•Track record of building scalable data integration systems beyond simple ETL jobs.

Experience:6+ yearsBig dataData integrationData engineeringOpen source

Skills:CommunicationCollaborationProblem-solvingTeamworkLeadership

Languages:English

Tech Stack:JavaJVMSparkFlinkKafkaKafka ConnectBeamSQLJDBCTCP/IPHTTPPython

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn