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Senior Software Engineer, Data Acquisition

Backend Full-time Permanent Remote

Job details

Not specified Salary
Remote Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Build and operate the systems that collect, process, and deliver large-scale web data for data products. This senior engineering role spans crawling, backend services, distributed workloads, and data quality, with opportunities to improve existing datasets and support new offerings.

Responsibilities - Improve the architecture, reliability, throughput, and observability of data acquisition and processing systems. - Develop crawling tools and distributed systems for collecting and cataloging information from the web. - Build backend services for job orchestration, data pipelines, and asynchronous workloads. - Structure captured data and maintain consistency and quality across datasets. - Improve ingestion speed, scalability, and fault tolerance. - Partner with product and engineering teams on new data products and improvements to existing ones.

Requirements - At least seven years of professional experience building or operating backend or infrastructure systems at scale. - Strong programming experience in Python, Go, Rust, or a similar language, including asynchronous or concurrent programming. - Understanding of distributed systems, including parallelism, backpressure, message-driven design, and fault tolerance. - Familiarity with web application architecture, browser rendering, HTTP, DNS, proxies, and network debugging. - Experience with resilient ingestion, API integration, or ETL systems, plus Linux or Unix command-line tools. - Ability to work independently in a remote-first setting, communicate clearly in writing, document designs, and break complex work into milestones.

Nice to have - Experience with large-scale crawling, ingestion, indexing, or streaming systems. - Familiarity with message queues and task orchestration, distributed data platforms, SQL, data warehousing, cloud services, and modern storage patterns. - A degree in a quantitative field or experience in red teaming.

Benefits and work setup Remote-first work, stock, competitive pay, flexible paid time off, health coverage, and health, fitness, or office stipends are listed.

Skills detected in the listing

PythonGoRustSQLSnowflakeApache AirflowData WarehousingData EngineeringAWSGCPAzure
Detected Oct 19, 2026
Last verified Oct 20, 2026

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