Sr. IT Data Engineer

USD 172,000-258,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

API @ 4 Agile @ 6 BI @ 4 Cassandra @ 4 Communication @ 7 Data Engineering ETL @ 4 Hadoop @ 4 Java @ 6 Kafka @ 4 MongoDB @ 4 MySQL @ 7 Oracle @ 4 Performance Monitoring @ 4 Python @ 6 RabbitMQ @ 4 SQL @ 7 Salesforce @ 4 Scala @ 4 Scalding @ 4 Security @ 7

Details

SpaceXAI's IT Data Engineering team implements and supports applications that help internal customers meet their operational needs. The team establishes processes for continual improvement, guides administration, and partners with multiple stakeholders on project-based initiatives. The mission is to keep the business running effectively while maintaining a healthy application environment.

Responsibilities

Help lead SpaceXAI's data strategy by implementing established ETL patterns, creating and supporting dependable infrastructure, and developing 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

Bachelor's degree in a related field; a Computer Science degree is preferred.
At least 5 years of relevant experience, preferably in an enterprise environment.
Strong experience with databases such as Vertica, MySQL, or similar, and advanced SQL.
Java development experience with Spring, JEE, or JSE, and proficiency in Python or other modern programming languages.
Hands-on experience with integrations, APIs, and message queuing technologies such as Kafka and RabbitMQ.
Experience working with third-party APIs, including Salesforce and Workday.
Background working in an Agile environment.

Preferred Skills and Experience

Experience with API gateways such as Kong, RAML, and REST-based APIs.
Experience designing and deploying scalable, reliable, high-volume data integrations and real-time pipelines.
Knowledge of big data technologies such as Hadoop, MongoDB, HBase, and Cassandra.
Experience with on-premises and cloud enterprise solutions, including Oracle, Salesforce, and Workday.
Scala or Scalding experience.
Deep knowledge of access control and data security.
Experience leading Data, BI, or Analytics projects with a customer-first approach.
Experience with custom ETL design, implementation, and maintenance.
Experience with performance monitoring, error logging, and troubleshooting Java applications.