Employer description & source details
Design, build, and operate foundational data services, including storage (cloud warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), and streaming (Kafka). Build and maintain data integration and processing SDKs used by internal services and product teams. Design self-service tools so users can manage and troubleshoot their own data pipelines. Build services for data security, observability, quality, cataloging, and lineage. Turn requests from analysts, ML, and security teams into reusable, scalable patterns. 5+ years of experience in software engineering, including senior-level ownership. Strong Python, Go, or Java backend development skills. Hands-on experience with data systems or data pipelines. Familiarity with design patterns such as scale-out, caching, key/value, and columnar storage. Working knowledge of SQL and Airflow for operational data analysis. Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
Extracted skills: python, java, go, sql, machine learning, security, finance