<div class="content-intro"><p><span style="font-family: arial, helvetica, sans-serif;">SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. </span><span style="font-family: arial, helvetica, sans-serif;">Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. </span><span style="font-family: arial, helvetica, sans-serif;">We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. </span><span style="font-family: arial, helvetica, sans-serif;">All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.</span></p></div><h3 data-pm-slice="1 1 []"><span style="font-family: arial, helvetica, sans-serif;">ABOUT THE ROLE:</span></h3> <p>As a Data Engineer in X product engineering team, you will play a key role in providing comprehensive data solutions that own or serve a wide range of stakeholders, including our end-users and internal teams such as Product engineering, Algorithm, Legal, Finance and Sales. Our work utilizes AI, distributed computing and hybrid storage technologies, but extends beyond purely data-centric solutions, encompassing non-data-related challenges, ultimately maximizing the potential of data for the benefit of our diverse user base.</p> <h3><span style="font-family: arial, helvetica, sans-serif;">RESPONSIBILITIES:</span></h3> <p>You'll help build and operate a distributed data platform that powers hundreds of realtime and batch pipelines processing billions of events per day. The team runs like an internal startup — we own problems end to end, from raw event streams to the datasets, tooling, and metrics that product, growth, safety, and business teams depend on daily. In this role you will:</p> <ul> <li>Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions.</li> <li>Create shared datasets, fact tables, and internal data products that let other teams analyze, debug, and improve product performance.</li> <li>Prototype and build tooling that automates and accelerates internal data workflows — backfills, dashboards, report generation, and self-serve access to data.</li> <li>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.</li> <li>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.</li> <li>Partner across product and business teams to surface where data gaps exist and prioritize the highest-impact opportunities for new data acquisition and improvement.</li> <li>Iterate quickly on feedback, shipping the smallest useful increment with a strong bias toward efficient, accurate, and reliable solutions.</li> </ul> <h3><strong><span style="font-family: arial, helvetica, sans-serif;">BASIC QUALIFICATIONS:</span></strong></h3> <p>We are looking for an engineer with 3+ years of professional software engineering experience, ideally in data engineering or distributed systems.</p> <ul> <li>Hands-on expertise in Python, Rust, Scala, Go or Java, and data pipeline toolings and distributed systems. </li> <li>Knowledge of realtime and batch data processing tools such as Spark/Kafka/Flink/SQL and various storage systems in RMDBs/NoSQL</li> <li>Experience solving large scale problems and comfortable doing incremental quality work while building brand new systems to enable future quality improvements. </li> <li>Proven records of interpreting product requirements into engineering implementation plans, and effectively communicating with different groups (AI, product, marketing/sales and engineering). </li> </ul> <h3><span style="font-family: arial, helvetica, sans-serif;"><strong>COMPENSATION AND BENEFITS:</strong></span></h3> <p><span style="font-family: arial, helvetica, sans-serif;">$125,000 - $400,000 USD</span></p> <p><span style="font-family: arial, helvetica, sans-serif;">Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.</span></p><div class="content-conclusion"><p><em>SpaceXAI is an equal opportunity employer. For details on data processing, view our </em><em><a href="https://x.ai/legal/recruitment-privacy-notice" target="_blank">Recruitment Privacy Notice</a>.</em></p></div>