Sr. IT Data Engineer
Apply at source. xAI handles the application directly; Houtini doesn't take a fee from candidates or companies. We curate which companies appear; the listings come from yubhub.
What the team is looking for.
Job Overview
We are seeking a Senior IT Data Engineer at xAI, a company focused on developing AI systems to understand the universe and support human knowledge. The successful candidate will play a key role in our IT Data Engineering team, implementing and supporting applications to meet internal operational needs.
Responsibilities
- Lead xAI's data strategy by implementing established ETL patterns, creating dependable infrastructure, and reusable components.
- Collaborate with business and engineering teams to prioritize requests and deliver results against time-sensitive priorities.
- Effectively communicate and work in a fast-paced environment.
Basic Qualifications
- Bachelor's degree in a related field, preferably Computer Science.
- Minimum 5 years of relevant experience in an enterprise environment.
- Strong experience with databases (Vertica, MySQL, or similar) and advanced SQL.
- Java development experience (Spring, JEE/JSE) and proficiency in Python or other modern languages.
- Hands-on experience with integrations, APIs, and message queuing technologies (e.g., Kafka, RabbitMQ).
- Experience working with 3rd party APIs (Salesforce, Workday, etc.).
- Background working in an Agile environment.
Preferred Skills and Experience
- Experience with API Gateways (e.g., Kong), RAML, and REST-based APIs.
- Designing and deploying scalable, reliable, high-volume data integrations and real-time pipelines.
- Big data technologies (Hadoop, MongoDB, HBase, Cassandra).
- On-prem and cloud enterprise solutions (Oracle, Salesforce, Workday).
- Scala / Scalding.
- Deep knowledge of access control and data security.
- Leading Data/BI/Analytics projects with a customer-first approach.
- Custom ETL design, implementation, and maintenance.
- Performance monitoring, error logging, and troubleshooting Java applications.
Compensation and Benefits
The salary range for this position is $135,000 - $260,000 USD. Our total rewards package 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.
- ETL patterns
- databases (Vertica, MySQL)
- advanced SQL
- Java development (Spring, JEE/JSE)
- Python
- integrations
- APIs
- message queuing technologies (Kafka, RabbitMQ)
- 3rd party APIs (Salesforce, Workday)
- Agile environment
- API Gateways (Kong)
- RAML
- REST-based APIs
- scalable data integrations
- real-time pipelines
- big data technologies (Hadoop, MongoDB, HBase, Cassandra)
- on-prem and cloud enterprise solutions (Oracle, Salesforce, Workday)
- Scala / Scalding
- access control and data security
- Data/BI/Analytics projects
- custom ETL design
- performance monitoring
- error logging
- troubleshooting Java applications
Other roles you might consider.
Filtered through the same AI-companies allowlist.
AI Deployment Manager (Builder) - Tokyo
OpenAI
Supervisor, Fiber
xAI
Associate Data Center Operations Technician
xAI
Enterprise Systems Manager, Recruiting Systems
OpenAI
Technical Community Manager, Campus Leaders
OpenAI
CyberSecurity Engineer, Incident Response Lead
Mistral AI
New to AI work? Start with these.
Six pieces of orientation. Most AI-company job specs assume you've done this kind of hands-on work already. If you haven't, an afternoon with one of these is the cheapest way to close the gap.
Claude Desktop, from zero.
The agentic-AI assistant most of the people you'd be working alongside use every day. Install, configure, first useful prompts.
What MCPs areThe best MCPs for Claude Desktop.
MCP servers extend an AI assistant with tools and data. The catalogue most teams use. Useful technical context for any AI-engineering role.
Code with AIClaude Code, the complete beginners' guide.
The CLI for AI-paired development. Required reading if you're applying for any engineering role that mentions agents, or any role full stop.
Run a local modelHow to set up LM Studio.
Running a model on your own machine teaches you more about how AI products work in three hours than a year of using ChatGPT will.
The hardware realityBeginner's guide to AI hardware.
What the infrastructure under the model actually looks like. Useful context for infrastructure, applied-AI and hardware roles.
Browse the stackMCP catalogue.
Eleven MCP servers Houtini maintains or recommends. Each detail page describes a real piece of working AI infrastructure.