Compensation Overview

Entity matching is a key technology that helps both internal and external customers to more easily match, link, and enrich related customer entities within their multiple data stores.

As a Principal Software Engineer, you’ll have a key role in extending and adapting our match applications to internal and customer matching and infrastructure needs. The ideal candidate is an experienced software engineer with a deep and extensive understanding of entity matching and what it takes to build a scalable and adaptable matching application. You need to be creative, responsible, and able to dive deep into emerging technologies. You will be thinking about the business needs, opportunities, operational issues, architectural diagrams, scalability, and security to build a robust solution. You should have a deep mastery of programming languages, distributed microservices, serverless computing, and performance engineering. We’re looking for someone who makes the team both productive and fun to work with, someone excited to learn from others while bringing their own novel capabilities and perspectives. You’ll take the lead in bringing in new ideas, testing and validating them quickly and independently, and incorporating them while socializing them with the team.

What you’ll do:

• Design, build, and operate highly scalable and flexible systems that can manage and process billions of match requests a day.
• Extend and adapt this architecture to meet customer matching needs and infrastructure context.
• Leverage cloud computing architectures to support development needs.
• Track and identify relevant new technologies in the market and push their implementation into our matching applications through research and prototyping.
• Develop processes and tools to monitor, analyze, maintain, and improve data operation, performance, and usability.
• Partner closely with Engineering Leaders, Architects, and Product Managers to understand business requirements and provide technical solutions within a larger roadmap.
• Work closely with Data Engineers, Data Analysts, Data Scientists, and Domain Experts to understand their needs for supporting a broader entity resolution framework.
• Evangelize and educate about new solutions. Work across the company to apply data processing patterns.
• Find the right balance between perfection and getting the job done.

Why you’ll love working here:

• Solve interesting and challenging problems alongside a great team of engineers.
• Develop new skills as you push your knowledge, and our technology, to new levels.
• Work for a profitable, growing company with an impressive Fortune 500 client list.

What you’ll bring:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• 10+ years of Software Engineering experience in data platform/big data software, with a proven track record of delivering highly scalable and efficient solutions.
• Substantial experience with Java 8+ (preferred) and frameworks like Spring.
• Strong expertise in designing, developing, and maintaining complex distributed systems in a large-scale production environment.
• In-depth understanding of Elastic search, Solr, or the underlying Lucene framework.
• Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/Dynamo.
• Deep technical understanding of software engineering and working with data at scale.
• Experience in system architecture and design.
• Familiarity using CI/CD pipelines with Jenkins, GitHub Actions, or similar tools.
• Experience with SQL languages in a big data context, particularly performance optimization.
• Experience with Graph and Vector databases or processing frameworks.
• Experience with Kubernetes using GKE/EKS.
• Experience working in and promoting a diverse work environment.

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