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Closed on July 27, 2026.
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Senior Data Engineer
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Job Description
Senior Data Engineer at Space Telescope Science Institute will manage backend data pipelines and MPP database systems for the Mikulski Archive for Space Telescopes (MAST), enabling high-performance data access, with a hybrid work arrangement in Baltimore, MD, residency/ITAR requirements, a salary range of USD 125,000 - 150,000 per year, and a minimum of 8 years of experience plus a Bachelor's or Master's degree in computer science, information technology, or a related discipline.
Responsibilities
- Manage PostgreSQL and MPP platform performance and operations
- Design, implement, deploy, monitor, and troubleshoot complex data pipelines using Apache Airflow to process, transform, and load large-scale datasets reliably
- Build, maintain, and continually improve data systems supporting scientific research, including relational databases and cloud-based lakehouse architectures
- Ensure data accuracy, accessibility, observability, and reliability through proactive monitoring, alerting, and incident response
- Collaborate with scientists, data engineers, and cross-functional teams to translate requirements into robust, scalable platform solutions
Requirements
- Advanced expertise in PostgreSQL and Greenplum MPP
- Strong proficiency with Apache Airflow
- Hands-on experience with AWS cloud services
- Strong Python programming skills and proficiency in SQL and SQL performance tuning
- Extensive experience designing, building, and optimizing data pipelines at scale
Technologies
- PostgreSQL
- Greenplum
- Apache Airflow
- AWS
- Python
- SQL
- Trino
- Apache Iceberg
- Lakehouse
Benefits
- Employer retirement contribution – direct STScI contribution of 10% of your salary from your first day
- 12 days sick leave
- Up to 24 days of vacation
- 10 paid holidays
- Flexible work schedule with healthy work/life balance
- Comprehensive medical, dental, vision, prescription plans, and more
Growth opportunities
- Specialize in Trino for distributed querying
- Work with Apache Iceberg for lakehouse management
- Explore Greenplum or other MPP systems and large-scale performance tuning
- Tackle complex challenges with high-volume scientific data, query optimization, and modern data infrastructure
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