Sr. IT Data Engineer
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.
About the job
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
Skills
Java, Spring, Python, SQL, Vertica, MySQL, Kafka, RabbitMQ, ETL, Salesforce, Workday, REST APIs, Scala
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