Hiring: Software Engineer - X Data Company: SpaceXAI Location: Palo Alto, CA Job Posted Time: 2026-09-14 01:12:16 Employment Type: Hybrid Target Skills & Keywords : BigQuery, ClickHouse, Data Pipeline, Flink, Java, Kafka, Move, Python, Rust, SQL, Scala, Spark About the job Experience: •3+ years of professional software engineering experience, ideally in data engineering or distributed systems. Required Skills: •Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions. •Create shared datasets, fact tables, and internal data products that let other teams analyze, debug, and improve product performance. •Prototype and build tooling that automates and accelerates internal data workflows — backfills, dashboards, report generation, and self-serve access to data. •Own data correctness end to end: validate with output invariants, denominator reconciliation, and independent recomputation, and lead root-cause investigations when key metrics move unexpectedly. •Move fluidly across query engines and frameworks (e.g., BigQuery, Trino, Clickhouse for analytics; Flink, Kafka, Spark/Scalding for streaming and batch), choosing the right tool and adapting quickly to new infrastructure and environments. •Partner across product and business teams to surface where data gaps exist and prioritize the highest-impact opportunities for new data acquisition and improvement. •Iterate quickly on feedback, shipping the smallest useful increment with a strong bias toward efficient, accurate, and reliable solutions. Qualifications: •Hands-on expertise in Python, Rust, Scala, Go or Java, and data pipeline toolings and distributed systems. •Knowledge of realtime and batch data processing tools such as Spark/Kafka/Flink/SQL and various storage systems in RMDBs/NoSQL •Experience solving large scale problems and comfortable doing incremental quality work while building brand new systems to enable future quality improvements. •Proven records of interpreting product requirements into engineering implementation plans, and effectively communicating with different groups (AI, product, marketing/sales and engineering). Compensation: •$125,000 - $400,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!