Apella

Full-stack Engineer

• Build and extend batch pipelines using dbt for transformations and Dagster for orchestration, scheduling, and asset-driven lineage.
• Develop and optimize BigQuery data models (dimensional, wide-table, or domain-oriented) to support analytics, experimentation, and reporting use cases.
• Advance real-time streaming capabilities by implementing and maintaining Kafka/PubSub + Flink pipelines, primarily using FlinkSQL, to deliver low-latency datasets and event-derived metrics.
• Design data platform standards: SDLC, naming conventions, modeling patterns, incremental strategies, schema evolution approaches, and best practices for batch + streaming including CI/CD and testing.
• Improve reliability and observability by implementing monitoring, alerting, and SLAs/SLOs for pipelines and data quality.
• Partner with analytics, product, and engineering teams to onboard new data sources, define contracts, and deliver trusted datasets.
• Own platform operations including performance tuning, data quality, cost optimization, and scaling across both warehouse and streaming systems.
• Design a unified serving layer architecture that cleanly exposes consistent, trusted datasets across both batch and streaming systems.
• Establish strong data governance, reliability standards, and observability practices.

Senior Software Engineer, Data Platform

Engineering Manager

• Manage, mentor, hire and grow 8+ ML Engineers and Data Engineers across three distinct teams
• Be a strong technical partner for engineers to guide ML system architecture, model deployment, and data platform design & execution
• Ensure ML solutions are production-grade, scalable, observable, cost effective and maintainable
• Drive best practices for ML model lifecycle management, data pipelines, and system reliability
• Work closely with Product, Clinical, Operations, and Research stakeholders to translate business and clinical needs into clear technical priorities
• Partner with Tech Leads and Product to define the ML and data platform goals and roadmaps, balancing near-term wins with long-term scalability

Senior Software Engineer, Data Platform

Engineering Manager, Machine Learning, Data Platforms