Sr. Software Development Engineer

PitchBook PitchBook · Fintech · Seattle, WA · Product

Senior Software Development Engineer on the Data Platform team responsible for designing and building backend systems that ingest, correlate, enrich, and serve billions of records across PitchBook's customer-facing products. The role involves owning components end-to-end, writing efficient code, contributing to architecture, and supporting production systems. The engineer will also apply AI tooling to improve development efficiency and experiment with LLM capabilities.

What you'd actually do

  1. Design, implement, and maintain backend services and data pipelines that ingest, transform, enrich, and index large-scale company and person data
  2. Own features and system components end-to-end: requirements through design, implementation, testing, and production support
  3. Write well-designed, testable, and efficient code that meets performance, scalability, and reliability standards
  4. Contribute to architecture and technical design discussions; identify tradeoffs and advocate for sound engineering decisions
  5. Perform code reviews and provide meaningful technical feedback to peers

Skills

Required

  • Bachelor's degree in Computer Science, Information Systems, or a similar field
  • 5+ years of software engineering experience, predominantly in backend systems
  • 5+ years of Java development experience, including production microservices
  • 4+ years with Spring Boot / Spring Framework
  • Strong experience with Kafka or comparable streaming/messaging platforms
  • Solid experience with PostgreSQL or other relational databases at meaningful data volumes
  • Hands-on experience with Elasticsearch or comparable search and indexing platforms
  • Experience with containerization and orchestration (Docker, Kubernetes) in production environments
  • Experience with AWS and/or GCP
  • Proficient in RESTful API design
  • Experience with unit and integration testing
  • Comfortable working with distributed systems concepts: fault tolerance, eventual consistency, backpressure, at-least-once delivery
  • Familiarity with domain-driven design and service-oriented architecture patterns

Nice to have

  • Familiarity with large-scale data ingestion, transformation, or enrichment pipelines — entity resolution, deduplication, or data quality work is a strong plus
  • Literate in the AI/LLM space — able to evaluate tools, run experiments, and apply them pragmatically without waiting to be told to

What the JD emphasized

  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future