Data Engineer

Migaru AI builds an AI-native CRM that reads a sales team's email, calendar, and calls, and keeps account, contact, and deal records current automatically. We're hiring a Data Engineer to help build and scale the data infrastructure that powers this product: the pipelines that ingest conversational data, the systems that keep records accurate and current, and the data foundation behind the product's reporting and forecasting features.

What you'll do

• Design, build, and maintain data pipelines that ingest and process data from sources like email, calendar, call transcripts, and third-party integrations
• Build and own the data infrastructure that keeps customer-facing records (accounts, contacts, deals) accurate, current, and performant at scale
• Develop and maintain data models and schemas that support product features like dashboards, forecasting, and account scoring
• Partner with product and engineering teams to expose clean, reliable data to downstream services and agents
• Monitor data quality, build validation and alerting to catch pipeline failures or data drift early
• Optimize data storage, processing, and query performance as data volume grows

What we're looking for

• Professional experience building and operating production data pipelines (batch and/or streaming)
• Strong SQL skills and experience with data modeling for analytical and operational use cases
• Proficiency in a language commonly used for data engineering, such as Python, Java, or Scala
• Experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar)
• Familiarity with cloud data warehouses or lakehouse platforms (e.g., Snowflake, BigQuery, Redshift, or similar)
• Comfort working with messy, unstructured, or semi-structured data such as text from emails and call transcripts

Nice to have

• Experience working with natural language or unstructured text data in a production pipeline
• Experience supporting machine learning or AI-driven features with data infrastructure
• Background working at an early-stage startup where you own infrastructure end to end