Staff Software Engineer

The role

You will set the technical direction for the core data infrastructure of a financial intelligence platform. You will design data foundations, build scalable pipelines, and develop backend services to support AI-driven capabilities.

What you will do

• Set technical direction for the data platform and drive cross-team architectural decisions.
• Design, build, and maintain scalable data pipelines for financial and clinical trial data.
• Develop backend services and data access layers for internal and customer-facing features.
• Implement and operate embedding pipelines and vectorized representations of data.
• Partner with ML and AI engineers on feature pipelines and serving patterns.
• Optimize database performance, query execution, and batch processing jobs.
• Translate business requirements into durable datasets, metrics, and APIs.
• Contribute to frontend implementations for data-heavy and AI-enabled features.
• Mentor engineers on data modeling, SQL performance, and ETL design patterns.

Required qualifications

• 8+ years of professional software engineering experience with a focus on backend and data engineering.
• Demonstrated Staff-level technical leadership and cross-team impact.
• Deep expertise in SQL and relational database design (PostgreSQL, MySQL, or similar).
• Experience building and operating ETL or ELT pipelines using orchestration frameworks (Airflow, Dagster, Prefect, or AWS Step Functions).
• Production experience building AI-powered data systems, including vector databases (pgvector, Pinecone), embedding pipelines, and designing data access patterns for RAG and agentic workflows.
• Solid exposure to machine learning including the ML lifecycle.
• Pragmatic approach to the full stack including willingness to contribute to React codebases.
• Familiarity with data quality validation, testing, and monitoring practices in production systems.
• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.

Nice to have

• Strong proficiency in Python, with experience using web frameworks (Django, DRF).
• Experience working with modern data warehouse platforms (Snowflake, BigQuery, Redshift).
• Hands-on experience with the ML/MLOps stack (SageMaker, MLflow, or similar).
• Experience integrating backend systems or data pipelines with LLM APIs.
• Experience with data transformation and validation tools (dbt, Great Expectations).
• Experience building production AI features end-to-end.
• Experience working in a Series A-C startup with rapid scale.

Benefits

• Competitive compensation and meaningful equity participation
• 100% company-paid health, dental, vision, and life insurance
• 401(k) plan with a 3% company match that vests immediately
• Unlimited PTO

About the company

Condor is a high-growth Series A company building a pharma-native, AI-driven financial intelligence layer. The platform connects clinical operations, vendor activity, and financial signals into a single intelligence layer.