Senior Cloud Data Engineer
3 weeks ago
The Space Telescope Science Institute is a multi-mission science and flight operations center for NASA's flagship observatories. We are seeking a Senior Cloud Data Engineer to join our team and focus on data infrastructure and processing using big data processing tools and data storage solutions to advance our state-of-the-art, astronomical data archive, the Mikulski Archive for Space Telescopes (MAST).
MAST is the public data archive for more than 20 missions spanning more than 30 years, including HST, JWST, Roman, GALEX, PanSTARRS, Kepler, K2, and TESS.
The successful candidate will design, build, and manage data infrastructure for processing, storing, and analyzing large volumes of data in the cloud. This includes data pipelines, ETL (Extract, Transform, Load) processes, and ensuring data quality and integrity. Use big data technologies (e.g., Spark), SQL databases, data warehousing, data lakehousing and cloud data services. Focus on Data processing, storage, and analysis, ensuring data is accessible and usable for data exploration.
Key Responsibilities:
- Design, construct, install, test, and maintain robust, highly scalable, flexible and cost-effective cloud-based data management systems: data store, data backup, data integration, data governance, data recovery and data retrieval
- Design, develop and maintain scalable data ingestion and data migration pipelines and build out to support increasing mission data volume and complexity
- Design, develop and maintain cloud-based scientific catalog data exploration tools/services
- Design, install, deploy and support of hybrid environments with mixture of legacy and active mission astronomical data
Requirements:
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
- 8+ years industry experience
- Preferred certifications include AWS Certified Solutions Architect, or equivalent experience
Targeted Skills:
- Strong SQL programming skills and experience with cloud SQL databases (e.g., Amazon RDS)
- Extensive knowledge of ETL/ELT processes and cloud data Lakehouse solutions (e.g. Trino, Iceberg)
- Familiarity with big data tools and frameworks. Experience with distributed database platforms (e.g. Massive Parallel Processing database clusters)
- Familiarity with data modeling, data architecture, and data governance
- SQL and database tuning expertise
- Hands-on experience with cloud platforms, especially Amazon Web Services (AWS), including building and deploying cloud applications to automate processes
- Proficiency in cloud data storage and access strategies
- Strong programming skills in languages such as Python
- Knowledge in machine learning
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
Our Benefits:
- Employer retirement contribution - direct STScI contribution of 10% of your salary from your first day
- 12 days sick leave, 24 days' vacation, and 10 paid holidays
- Comprehensive medical/dental/vision/prescription plans, and more
How to Apply:
Please upload a resume, cover letter and online application. Applications received by November 4, 2024 will receive full consideration. Applications received after this date will be considered until the position is filled.
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