Senior Data Engineer

Senior Data Engineer
Location: Renton, Washington or Remote
Are you ready to fuel the next generation of space exploration? Join a rapidly growing aerospace company thats pioneering advancements in propulsion technology and shaping the future of space travel. Our clients mission is to make space travel more accessible and sustainable, paving the way for a future where humanity thrives beyond our planet.
About Our Client:
Our client is a team of engineers, scientists, and visionaries dedicated to transforming space technology. Their innovative projects, including reusable rockets and advanced propulsion systems for lunar landers, push the boundaries of whats possible. Driven by their commitment to growth and excellence, they continually expand their capabilities to achieve new milestones in space exploration.
Key Responsibilities:

– Collaborating with business partners to identify business problems, generating ideas to tackle the problems, testing hypothesis through rapid prototyping and stablishing target state architecture to achieve business goals.
– Defining, publishing, and communicating data strategy, standards, patterns, reference architectures, frameworks, and roadmaps to enable data sharing across the enterprise.
– Partnering with other architecture fields to design data solutions with a strong focus on security, scalability, observability and operational excellence.
– Applying the latest research and industry trends to build best in class enterprise data solutions for data consumers.
– Being a hands-on architect.
– Building solution prototypes and conducting experiments to evaluate architectural alternatives.
– Managing, governing and promoting enterprise data model management practice.
– Developing enterprise conceptual, logical and physical data models for batch and streaming architectures.

Qualifications:

– Bachelors degree in Computer Science or equivalent.
– Experience with modeling HR data and Workday required.
– 5 years of experience with advanced SQL and scripting (python/pyspark) development.
– 2 years of experience with cloud-based infrastructure (databricks/redshift).
– 5 years of enterprise data architecture, design patterns, tradeoff analysis and delivery acceleration in cloud-native environments.
– 3 years of experience with data solutions enabling analytical, operational, data science and ML data flows.
– 2 years of experience with developing or working with taxonomies/ontologies.
– Experience working/collaborating with master data management and data governance.
– Excellent verbal and written communications skills.
– Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion.
– Masters degree or higher in Computer Science, Mathematics, Statistics, or similar analytical field, desired.
– Experience with data modeling tools such as DBT, desired.
– Must be a U.S. citizen or national or a U.S. permanent resident (current Green Card holder).

Interested Candidates please apply on our website at [https://jobs.jblresources.com](https://jobs.jblresources.com){rel=”nofollow”}.
For more information about our services and great opportunities at JBL Resources, please visit our website: [https://www.jblresources.com](https://www.jblresources.com){rel=”nofollow”}.
JBL Resources is proud to have earned the reputation of being a premier provider of top talent professionals in the fields of engineering, human resources, logistics, operations, and supply chain management. As specialists in both permanent placement and contract services, our mission is to help companies and individuals become all they