The
Space Telescope Science Institute (STScI), operated by the
Association of Universities for Research in Astronomy (AURA), is NASA’s science operations center for missions including the
Hubble Space Telescope and the
James Webb Space Telescope.
We are seeking a
hands‑on Senior Database Engineer with deep expertise in
PostgreSQL to help design, build, and maintain performant databases. You will work as part of a team supporting reliable, high‑performance data flow for analytics, reporting, and science applications using
Python and
Apache Airflow. Some experience with
AWS is required to efficiently support our growing data volumes.
This role will also involve working with others to optimize our
Massively Parallel Processing (MPP) database system and help deliver fast, reliable data access for the
Mikulski Archive for Space Telescopes (MAST) - one of the world’s most advanced public astronomical data archives.
This position supports
hybrid work (approximately
twice per quarter on site). Candidates must reside in or be willing to relocate to our local market (
MD, DE, VA, PA, DC, or WV).
U.S. Citizenship or Permanent Residence is required to meet
ITAR requirements.
This is a
technical individual contributor role, with opportunities to mentor junior database engineers and contribute to ongoing improvements of the data platform.
Key Responsibilities
- Act as the PostgreSQL subject matter expert: design efficient database schemas, optimize complex queries, implement advanced indexing strategies, and lead performance tuning, replication, partitioning, and high availability solutions
- Design, develop, optimize, and maintain data pipelines using Apache Airflow for orchestration and scheduling
- Work with AWS services to deploy and scale cloud‑based data infrastructure
- Participate in documentation, write clean and maintainable code, and engage in code reviews
- Mentor junior data engineers on best practices for PostgreSQL, Python, and Airflow
Required Qualifications
- Strong PostgreSQL experience, including schema design, partitioning, advanced SQL, query optimization, indexing, vacuuming, and EXPLAIN analysis
- Strong Python skills, with experience writing production‑grade scripts for data processing and automation; familiarity with libraries such as pandas, SQLAlchemy, and psycopg2
- Apache Airflow experience in production environments, including DAG development, scheduling, operators, sensors, and dependency management
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology, or a related field
- 8+ years of professional experience in Linux‑based environments, with deep expertise in data engineering, data management, and scalable distributed data architectures
Our excellent benefits include:
Employer retirement contribution – direct STScI contribution of 10% of your salary from your first day
12 days sick leave, up to 24 days’ vacation, and 10 paid holidays
Flexible work schedule with healthy work/life balance
Comprehensive medical/dental/vision/prescription plans, and more!
Salary range is $135,000 - $150,000. Final compensation is based on experience, skills, internal equity, and market conditions.
Application link -
Senior Database Engineer
Applications received by
05/02/2026 will receive full consideration. Applications received after this date will be considered until the position is filled. Reference #:0015735
Individuals needing assistance with the employment process can contact us at careers@stsci.edu.
US
