Data & Analytics Engineer

What you'll do

• Design and maintain scalable data pipelines and ELT workflows for AI and analytics use cases.
• Develop well-modeled datasets for both batch and real-time consumption.
• Build and optimize data models in modern cloud data warehouses like Snowflake, BigQuery, or Databricks.
• Implement data quality, observability, and monitoring systems to ensure pipeline reliability.
• Use DBT to create modular, testable, and well-documented transformation layers.
• Orchestrate and manage workflows using tools such as Airflow, Prefect, or Dagster.
• Design the data architecture supporting AI agents and autonomous workflows.
• Enable self-service analytics and reporting for engineering and product teams.

What we're looking for

• Bachelor of Science in Computer Science or equivalent industry experience.
• 3+ years of hands-on experience in data engineering, analytics engineering, or a related role in a production environment.
• Proficiency in Python and SQL for pipeline development, automation, and performance optimization.
• Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Databricks.
• Experience implementing monitoring, logging, and observability for data pipelines.
• Experience with data modeling and building ELT pipelines using DBT.
• Preferred experience building AI/LLM-powered data pipelines, including RAG systems and API integrations.
• Preferred experience with real-time streaming systems (Kafka, Flink, Spark) and workflow orchestration tools (Airflow, Prefect, Dagster).