Senior Software Engineer — Data Modeling (Europe)

Cacheflow; Town of Poland (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Cacheflow is looking for a Senior Software Engineer to join their Data Modeling team in New York. You will lead the charge on the biggest re-architecturing project in Backstory history, focusing on building backend services and data processing pipelines that empower customer-facing insights.

Ideal candidates should have 5+ years of experience in backend systems and proficiency in Python or Scala. Join us in creating a unified data platform that enhances data accessibility and creates impactful insights!

Qualifications

• 5+ years of professional experience building backend systems in an enterprise environment.
• 2+ years of experience programming in Python or Scala.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, build, and maintain backend services, REST APIs, databases, and big data pipelines.
• Implement and maintain near-real-time stream-based data processing pipelines.
• Develop a query engine for complex, actionable insights.

Skills

Backend systems development

Python

Scala

Distributed systems

Data processing frameworks

Stream processing (Kafka, Samza, Storm)

Elasticsearch

LLMs or NLP

Analytical databases

ETL pipeline design

Job description

As a Senior Software Engineer on the Data Modeling team, you will help us complete the biggest re-architecturing project in Backstory history - Unified Data Platform (UDP) - that unifies all Backstory products under one architecture and improves the data freshness. You will build and maintain the services, REST APIs, databases, and big data jobs that provide Backstory’s insights.

Working with the larger Engineering and Product teams, you will take “activity” and “CRM objects” data provided by other teams and make it available for consumption to end users, building higher-level customizable insights that power not only our web application, but also use cases like Account 360, Opp 360, search functionality, and our new Generative AI features.

What you will do:

• Design, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics.
• Implement and maintain near-real-time stream-based data processing pipelines in collaboration with batch-oriented data refresh workflows.
• Develop and evolve a query engine capable of answering complex, cross-deal/account questions and delivering actionable insights for sales managers and executives.
• Scale data processing and insights generation pipelines to handle growing volumes of activity data (emails, meetings, transcripts, CRM objects) while managing infrastructure costs.
• Collaborate with Engineering and Product teams to translate business and customer needs into robust, well-documented technical solutions.
• Follow and promote software development best practices, delivering clean, maintainable, and well-monitored code.
• Build internal tooling to enable customer support teams to investigate and resolve support requests in a self-service manner.
• Ensure high-quality alerting, dashboards, tracing, and runbooks are in place for all production services.

What you will bring:

• 5+ years of professional experience building backend systems in an enterprise environment
• 2+ years of experience programming in Python or Scala
• Experience with distributed systems and service-oriented architecture (SOA)
• Experience with large-scale data processing frameworks (Spark, Hive, Hadoop, MapReduce, or similar)
• Experience with stream processing technologies such as Kafka, Apache Samza, or Apache Storm
• Experience with Elasticsearch is a plus
• Experience with LLMs or NLP is a plus
• Familiarity with analytical databases and ETL pipeline design
• Strong analytical and problem-solving skills with a track record of delivering elegant, practical solutions
• Experience taking ownership in an unfamiliar or legacy codebase and incrementally improving it
• Strong inclination toward automation and reducing manual operational toil