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Staff Software Engineer – Data

Data Engineer Full-time United States

Job details

Not specified Salary
United States Eligibility
Staff Experience
Full-time Employment

About this role

Role overview Provide technical leadership for a real-time analytics platform supporting high-throughput, low-latency data processing and data-driven applications. The work spans architecture, implementation, and production operations, with a focus on reliability, scalability, performance, and engineering productivity.

Responsibilities - Design, build, and operate distributed systems for real-time and near-real-time analytics. - Guide the evolution of stream-processing and analytics platforms, owning critical capabilities from architecture through operations. - Develop and tune data services using technologies such as Flink, Spark Structured Streaming, ClickHouse, and Druid. - Connect batch and streaming workloads through interoperable data pipelines and lakehouse architectures. - Apply AI capabilities to improve engineering workflows, data quality, operations, troubleshooting, and developer productivity. - Set engineering standards, mentor other engineers, and collaborate across product, infrastructure, security, and data teams. - Participate in on-call support, lead incident response and root-cause analysis, and recommend platform investments.

Requirements - A degree in computer science, engineering, or a related field, or equivalent practical experience. - At least eight years designing and building large-scale distributed systems, with experience in real-time data processing, analytics, or data platforms. - Strong Python skills and production experience with stream-processing technologies such as Apache Flink or Spark Structured Streaming. - Experience operating and tuning high-performance analytics databases such as ClickHouse or Apache Druid, or equivalent systems. - Experience building event-driven pipelines with Kafka, AWS MSK, or similar messaging platforms. - The available source also cites AI/ML and modern AI tooling experience, though its detailed requirement text is truncated.

Nice to have - Scala experience for maintaining and extending existing platform components.

Benefits and work setup - The source mentions medical, dental, and vision coverage, a matching 401(k), paid time off, a wellness program, and employee discounts. A bonus may also be available.

Skills detected in the listing

PythonData EngineeringAWS
Detected Nov 6, 2026
Last verified Nov 6, 2026

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