Job Description
📋 Description Own data initiatives end to end from ingestion through deployment and handoff. Build scalable data pipelines integrating multiple enterprise systems and external sources. Develop AI-ready data platforms with feature stores, embedding pipelines, and real‑time data Maintain data models with governance, quality, and usability for analytics and AI workloads. Enable AI applications with secure data access and trusted data integrations. Collaborate with data science, product, engineering, and business teams to operationalize ML models. 🎯 Requirements 5+ years building/operating production data platforms and pipelines. Databricks, Spark, or similar distributed processing tech. Advanced SQL with data modeling, governance, and data quality. Python and orchestration tools (Airflow, Dagster, or Databricks Workflows). Experience with Azure, AWS, or Google Cloud data platforms. Hands-on ML/AI infrastructure experience (feature stores, training pipelines, embeddings). 🎁 Benefits Competitive USD salary: $115,000 - $135,000. Performance-based bonus programs potential. Medical, dental, vision, disability, life insurance. Paid time off, holidays, parental leave, and fertility benefits. 401(k) with company match up to 6%. Fully remote opportunity across the United States (excluding Alaska).
