Ridgelineposted 3 days ago
$165,000 - $200,000/Yr
Full-time - Senior
San Ramon, CA

About the position

Ridgeline is looking for a Staff Software Engineer to join our Data Delivery Squad, a critical group within the Data Engineering organization. In this role, you’ll be responsible for architecting and optimizing robust, scalable data pipelines and systems that deliver clean, timely, and trusted data. You’ll partner cross-functionally to empower internal and external stakeholders with seamless data access—enabling reporting, analytics, and product development across the platform. You’ll be leveraging cutting-edge technologies, including an AI-first approach using tools like GitHub Copilot and ChatGPT, to accelerate development and drive innovation.

Responsibilities

  • Design and build scalable, reliable, high-performance data pipelines that ingest, transform, and deliver data across Ridgeline’s platform
  • Develop and maintain data APIs, SDKs, and services to support internal development teams and external clients
  • Ensure data quality and integrity by implementing robust testing, validation, and monitoring processes
  • Collaborate with product managers and cross-functional software engineering teams to deliver impactful, data-driven solutions
  • Optimize storage, processing, and retrieval mechanisms for performance, scalability, and cost efficiency
  • Implement best practices for CI/CD, observability, and security in all data engineering workflows
  • Mentor junior engineers and provide technical leadership to foster a culture of continuous learning and innovation

Requirements

  • 8+ years of experience in software engineering with a strong focus on data engineering and distributed systems
  • Proficient in Python, Kotlin, or Java
  • Advanced knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, Aurora)
  • Deep experience in designing and maintaining data pipelines, data models, and ETL/ELT workflows
  • Familiarity with big data tools such as Kafka, Spark, or Flink
  • Experience working with cloud platforms (preferably AWS)
  • Hands-on with containerization and orchestration tools like Docker and Kubernetes
  • Excellent communication and collaboration skills
  • Strong analytical problem-solving abilities with a bias for action
  • Ability to take ownership and lead initiatives independently while mentoring others

Nice-to-haves

  • Experience in the financial services or investment management industry
  • Knowledge of event-driven architectures and real-time data processing
  • Familiarity with Change Data Capture (CDC) tools such as Debezium and Kafka Connect
  • Background in building developer platforms or SDKs
  • Understanding of multi-tenant architecture and scalable cloud infrastructure

Benefits

  • Unlimited vacation
  • Educational and wellness reimbursements
  • $0 cost employee insurance plans
  • Participation in Company Stock Plan
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