ClickHouse

ClickHouse

Senior Software Engineer - Java Streaming - Connectors

United States (Remote) · Senior

Sponsorship not specified$126k-$186kDetected 135 days ago
PythonJavaSQLGrafanaKafkaPandasSparkAirflowdbtData EngineeringData VisualizationTCP/IPCommunicationMetabase

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odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies.
  • The Connectors team is the bridge between ClickHouse and the entire data ecosystem.

Responsibilities

  • 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
  • Experience developing or extending connectors, sinks, or sources for at least one streaming processing framework such as Apache Flink, Beam, or Kafka Connect, with preference for experience building or maintaining production-grade streaming connectors.
  • Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.

Requirements

  • Proven experience with the internals of streaming or data integration frameworks, with strong preference for Apache Kafka (or similar pub/sub systems), Kafka Connect, Apache Flink or Apache Beam.
  • Hands-on experience with Apache Kafka or similar distributed messaging systems (e.g., Pulsar, Kinesis), including topic design, consumer groups, and performance tuning.
  • 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.

Skills

  • About ClickHouse
  • Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies.
  • The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round.

Compensation

  • The typical starting salary for this role in the US is

Benefits

  • Healthcare - Employer contributions towards your healthcare.
  • Equity in the company - Every new team member who joins our company receives stock options.
  • Time off - Flexible time off in the US, generous entitlement in other countries.
  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly.
  • A $500 Home office setup if you're a remote employee.

Company info

  • Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments.
  • These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
  • Culture - We All Shape It As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
  • As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
  • Are you interested in finding out more about our culture?
  • Learn more about our values here.

Equal opportunity

  • Equal Opportunity & Privacy
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This listing is sourced directly from ClickHouse's careers page and normalized into a canonical job model.