Own the design and development of features and components for the data platform, focusing on high-throughput data ingestion, transformation, and storage. You will report to the Director, Engineering.
Architect and implement robust, distributed, and scalable data processing pipelines in Go to ensure data quality and reliability.
Contribute to the technical strategy and roadmap for the data platform, anticipating future data needs for product features and internal analytics.
Mentor junior and mid-level engineers on the team, and conduct thorough code reviews to ensure quality and best practices.
Participate in an on-call rotation to address urgent operational issues impacting data services.

Requirements

5+ years in a software engineer role, with experience in a technical leadership capacity
Extensive experience designing, building, and operating large-scale, distributed data processing systems and data pipelines.
Deep knowledge of data architecture, storage, and access patterns
Strong computer science fundamentals in design, data structures, and algorithms
Clean coding and automation practices

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Godata processing pipelinesdata ingestiondata transformationdata storagedata architecturedata structuresalgorithmsclean codingautomation practices

Soft Skills

technical leadershipmentoringcode reviewscommunicationproblem-solving