PitchBook Data

Sr. Java Full Stack Engineer

PitchBook Data
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5 days ago

Base Salary

$175k - $215k/yr

Responsibilities

  • Design, implement, and maintain backend services and data pipelines that ingest, transform, enrich, and index large-scale company and person data.
  • Own system components end to end from requirements and design through implementation, testing, deployment, and production support.
  • Write efficient, testable code meeting performance, scalability, reliability, and quality standards.
  • Contribute to architecture and technical design discussions, evaluate tradeoffs, and advocate for sound engineering decisions.
  • Conduct code reviews and provide meaningful technical feedback to peers.
  • Support production systems through deployments, troubleshooting, and incident response.
  • Apply AI tooling to improve development, testing, and delivery efficiency and experiment with LLM-powered capabilities where relevant.
  • Collaborate with engineers, product managers, and data science partners in an Agile environment.
  • Support company initiatives and role-model desired behaviors and values.

Requirements

  • Bachelor’s degree in Computer Science or Information Systems.
  • At least 5 years of software engineering experience, predominantly in backend systems.
  • At least 5 years of Java development experience, including production microservices.
  • At least 4 years of experience with Spring Boot or Spring Framework.
  • Strong experience with Kafka or comparable streaming and messaging platforms.
  • Experience with PostgreSQL or other relational databases at meaningful data volumes.
  • Hands-on experience with Elasticsearch or comparable search and indexing platforms.
  • Experience with large-scale data ingestion, transformation, or enrichment pipelines; entity resolution, deduplication, or data quality experience is a plus.
  • Experience with Docker and Kubernetes in production environments.
  • Experience with AWS and/or GCP.
  • Proficiency in RESTful API design and unit and integration testing.
  • Understanding of distributed-systems concepts including fault tolerance, eventual consistency, backpressure, and at-least-once delivery.
  • Familiarity with domain-driven design and service-oriented architecture patterns.
  • Ability to evaluate and pragmatically apply AI and LLM tools.
  • Strong written and verbal communication skills.
  • Must be authorized to work in the United States without current or future visa sponsorship.
  • Must be able to work onsite in Seattle.

Benefits

  • Comprehensive health benefits, medical wellness incentives, and short-term disability, long-term disability, AD&D, and life insurance.
  • Paid sabbatical after four years, paid family and paternity leave, vacation, sick, and volunteer days.
  • Annual educational stipend, tuition reimbursement eligibility, CFA exam stipend, and training programs.
  • Employee assistance program, employee resource groups, matching gifts, and company events.
  • Subsidized emergency childcare and Dependent Care FSA.
  • 401(k) match, shared ownership employee stock program, monthly transportation stipend, and employee referral bonus program.
  • Expected to work onsite in the Seattle office five days per week; limited corporate travel may be required.

Categories

BackendData Engineering
PitchBook Data

About PitchBook Data

1,001-5,000 employees
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