Backend and Data Engineer
Condor Software8 months ago
Responsibilities
- Design, build, and maintain scalable pipelines that ingest, normalize, and transform financial and clinical trial data for analytics, reporting, and LLM-based agents.
- Develop backend services and data access layers that expose reliable financial data to internal systems, customer-facing features, LLMs, and automated workflows.
- Implement and operate embedding pipelines and vectorized representations to support semantic search, RAG, and agentic workflows.
- Optimize database performance, query execution, and batch processing for large-scale financial datasets and AI-driven access patterns.
- Contribute to architecture decisions involving data infrastructure, storage strategies, LLMs, embeddings, and vector databases.
- Partner with product managers and analysts to translate business requirements into durable datasets, metrics, and APIs.
- Contribute to React-based frontend implementations so data-heavy and AI-enabled features are presented accurately.
- Mentor engineers on data modeling, SQL performance, ETL design, and reliable observable data systems.
- Own features from design through production across backend services, data pipelines, and APIs.
Requirements
- 8+ years of professional software engineering experience focused on backend development and data engineering.
- Deep expertise in SQL and relational database design, including complex analytical queries and performance tuning, with PostgreSQL, MySQL, or similar.
- Experience building and operating ETL or ELT pipelines with Airflow, Dagster, Prefect, or AWS Step Functions.
- Production experience with vector databases, embedding pipelines, and data access patterns for RAG and agentic workflows, including pgvector or Pinecone.
- Willingness to contribute to React codebases and deliver data-heavy features end to end.
- Familiarity with data quality validation, testing, and monitoring practices in production systems.
- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
- Strong proficiency in Python and experience with Django or DRF.
- Experience with Snowflake, BigQuery, or Redshift.
- Experience integrating backend systems or data pipelines with LLM APIs.
- Experience with dbt and Great Expectations.
- Experience building production AI features involving LLM integration, prompt engineering, agentic workflows, and observability or evaluation frameworks.
- Experience working at a Series A-C startup with rapid scale.
Benefits
- 100% company-paid health, dental, vision, and life insurance
- 401(k) plan with immediate vesting and a company match
- Unlimited paid time off
Tech Stack
Categories
About Condor Software
Condor Software builds an AI-driven financial intelligence platform for pharmaceutical and biotech R&D, unifying clinical operations, vendor activity, and finance to improve budgeting, forecasting, and execution. It sells enterprise SaaS to biopharma organizations and is used by large, complex R&D teams. The privately held company is headquartered in San Diego and is venture-backed by firms including Felicis and 645 Ventures.