Platform Engineer
Annapolis, MDAll locationsAnnapolis, MDNew York Hybrid
$108,000–$164,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
The Platform Engineer is a member of the Data Platform Engineering team, which builds, operates, secures, and evolves HASI's enterprise data technology stack. The team owns the technology platforms that power the business — including Snowflake, Airflow, SQL Server, Power BI Service, SAP Datasphere, SAP Analytics Cloud, Power Automate, Jupyter Hub, Business Objects, Kyriba, Sigma/Thoughtworks, and the broader data warehouse and metadata/catalog tooling ecosystem — not the business data or business logic that runs on top of them. This role manages and enhances the platforms that data engineering relies on day to day, with primary focus on Snowflake, Airflow, and Microsoft Fabric. The Platform Engineer evaluates new and emerging technologies in the market, builds standard operating procedures (SOPs) for platform usage, and partners closely with the Data Engineering team to establish repeatable processes and code controls that make pipelines, models, and integrations reusable across projects.
What you'll bring
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
- 3+ years of professional experience in platform engineering, data engineering, or data infrastructure roles
- Hands-on experience administering and optimizing Snowflake, including warehouse sizing, cost management, security, and performance tuning
- Experience building, deploying, and operating Apache Airflow environments and orchestrating production data pipelines
- Experience with Microsoft Fabric or comparable modern data platform/lakehouse technologies
- Familiarity with CI/CD tooling and practices for platform and infrastructure automation
- Working knowledge of SQL Server, data warehouse infrastructure, and cloud-based data storage and compute environments
- Understanding of metadata management, data cataloging, and data governance principles
- Strong troubleshooting and performance-tuning skills across distributed and cloud-based data systems
- Ability to create clear documentation, SOPs, and standards that other engineers can follow
- Strong collaboration skills, with the ability to partner effectively with data engineering, analytics, and security teams
- Self-starter who stays current with emerging data platform technologies and proactively recommends improvements