Senior Data Engineer - Data Platform

• Design, implement, and maintain scalable, reliable data pipelines and platform components to support both operational and analytical use cases, with a strong focus on ML/AI enablement.
• Build and optimize large-scale batch data processing workflows (e.g., Apache Spark, Airflow) to ensure speed, efficiency, and fault tolerance.
• Lead cost optimization initiatives for data processing, storage, and infrastructure.
• Ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions (including RAG).
• Collaborate with product, engineering, and data science teams to deliver new features rapidly and with technical excellence.
• Drive platform-wide improvements in observability, reliability, scalability, and performance.
• Participate in on-call rotations, providing responsive and service-driven support.
• Support the deployment and integration of LLM/RAG-based solutions and other AI/ML capabilities.

• 5+ years of experience as a data engineer, with hands-on work in designing and operating large-scale data platforms and infrastructure.
• Strong proficiency in Python and SQL, with proven experience in production environments.
• Deep understanding of large-scale batch processing and workflow orchestration tools (e.g., Apache Spark, Airflow).
• Experience with AI/ML-powered products, including LLM/RAG ecosystems and related frameworks.
• Familiar with or have worked with these technologies (or alternatives):
• Data Processing & Streaming: Apache Spark, DBT, Airflow, Airbyte, Kafka
• Data Storage: Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
• Backend & APIs: FastAPI, micro-service architecture
• Cloud Infrastructure: AWS stack (S3, Firehose, Lambda, Athena, etc.), Kubernetes (K8s)
• Nice-to-Have ML/AI Experience: LiteLLM, Hugging Face, XGBoost, etc.
• Proven ability to optimize performance, cost, and scalability of data systems.
• Strong foundation in data governance, quality, security, and observability.
• Collaborative and proactive in cross-functional settings, particularly when enabling AI/ML initiatives.

• A product that positively impacts people's lives every single day.
• A team of amazing people with a shared vision and the infinite drive to make it happen
• We offer significant equity.
• Opportunity to build, grow, and become highly instrumental in shaping how technology can increase the effectiveness of therapy.
• Hybrid work opportunities.
• You can take any moment on mental health days off simply because you need them.

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