Lead data strategy and build ETL infrastructure, integrations, and reusable components for internal enterprise systems. Requires 5+ years experience, strong Java/Python, SQL, and API integration skills.
135k – 260k
On-site5+ YOEData Engineering
About the role
Responsibilities
Help lead xAI’s data strategy by implementing established ETL patterns, creating and supporting dependable infrastructure, and reusable components.
Partner with business and engineering teams to prioritize requests and consistently deliver excellent results against time-sensitive priorities.
Collaborate effectively in a fast-paced environment using strong interpersonal communication skills.
Requirements
BA/BS in a related field (Computer Science degree preferred)
Minimum 5 years of relevant experience, preferably 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
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
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