Senior Data Engineer, AI & Data Platform

📋 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).