SpaceXAI
Sr. Software Engineer, Data Engineering (X)
Palo Alto, CA
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 2.6M live jobs from 210,000+ employers in 200+ countries.
Tailor my resume for this job →Apply from your AI assistant
Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Role family
- Engineering
- Seniority
- Senior
- Stated salary
- $180,000 – $330,000 per year
- Country
- US
- Work mode
- Remote-friendly
- First seen by hirly
- 6 Nov 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.
SR. SOFTWARE ENGINEER, DATA ENGINEERING (X)
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.
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.
RESPONSIBILITIES:
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
BASIC QUALIFICATIONS:
5+ years of professional software engineering experience
Experience with Python, Rust, Scala, Go or Java, and data pipeline toolings and distributed systems
PREFERRED SKILLS AND EXPERIENCE:
Software engineering experience in data engineering or 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 AND BENEFITS:
$180,000 - $330,000 USD
Base salary is just one part of our total rewards package at SpaceXSI, 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.
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
Listed on hirly, a job board. hirly is not the employer: SpaceXAI is hiring for this role.
Similar jobs
- Senior Platform Software Engineer- Oracle HealthOracle · United StatesFirst seen today
- Senior Platform Software EngineerOracle · Nashville, TN, United StatesFirst seen today
- Senior Software EngineerBN, an Augeo company · Rochester, NYFirst seen todayremote
- Senior Software Engineer (Quality, Health Records)Whoop · Boston, MAFirst seen today
- Senior Software Engineer, App EnablementHinge Health · San Francisco-HQFirst seen today
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job