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 specializing in JVM-based data integration. Owns core parts of ClickHouse's data engineering ecosystem, building connectors and drivers that enable JVM-based apps to ingest and analyze massive datasets. Collaborates with OSS community and enterprise users to optimize performance, scalability, and developer experience across Spark, Flink, Kafka Connect, and Beam integrations.

Location: Germany

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own the full lifecycle of data framework integrations - from the core database driver to SDKs and connectors.
•Develop and extend data connectors, sinks, or sources for big data frameworks such as Spark, Flink, Beam, or Kafka Connect.
•Collaborate with open-source community, internal teams, and enterprise users to ensure performance, reliability, and developer experience.
•Optimize memory management, GC tuning, and performance profiling within the JVM ecosystem to handle billions of records per second.
•Design and implement solutions that enable ClickHouse data ingestion and processing at scale for real-time analytics and observability workloads.

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkHealth InsuranceEquityTime OffHome OfficeGlobal Gatherings

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 engineeringReal-time analyticsOLAP

Skills:JavaJVMMemory managementGarbage collection tuningPerformance profilingConcurrent programmingThreadsExecutorsReactiveAsynchronousJDBCTCP/IPHTTPData throughputOpen-source

Languages:English

Tech Stack:JavaJVMApache SparkApache FlinkKafkaKafka ConnectApache BeamSQLJDBCPython

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: Germany

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own the full lifecycle of data framework integrations - from the core database driver to SDKs and connectors.
•Develop and extend data connectors, sinks, or sources for big data frameworks such as Spark, Flink, Beam, or Kafka Connect.
•Collaborate with open-source community, internal teams, and enterprise users to ensure performance, reliability, and developer experience.
•Optimize memory management, GC tuning, and performance profiling within the JVM ecosystem to handle billions of records per second.
•Design and implement solutions that enable ClickHouse data ingestion and processing at scale for real-time analytics and observability workloads.

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkHealth InsuranceEquityTime OffHome OfficeGlobal Gatherings

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 engineeringReal-time analyticsOLAP

Skills:JavaJVMMemory managementGarbage collection tuningPerformance profilingConcurrent programmingThreadsExecutorsReactiveAsynchronousJDBCTCP/IPHTTPData throughputOpen-source

Languages:English

Tech Stack:JavaJVMApache SparkApache FlinkKafkaKafka ConnectApache BeamSQLJDBCPython

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn