Data Engineer

HeronAI is an AI-powered decision intelligence company helping businesses automate analytics and improve data-driven decision-making. The Data Engineer will build scalable AWS data infrastructure, develop and optimize reliable data pipelines and integrations, and ensure data quality, security, monitoring, and observability.

Responsibilities:

• Build and maintain robust data pipelines that ingest data from spreadsheets, accounting software, CRMs, and other APIs into our data warehouse
• Design and implement scalable data infrastructure on AWS that can handle growing volumes of customer data
• Create reusable data transformation templates so every new data source integration becomes faster and more standardized
• Own data reliability: ensure our pipelines are monitored, alerting, and self-healing where possible
• Optimize data pipeline performance and cost efficiency across our AWS infrastructure
• Collaborate with the product team to understand data requirements and translate them into technical solutions
• Build and harden backend data integrations that scale with thousands of customers
• Ensure our data infrastructure is secure, compliant, and enterprise-ready (SOC2, best practices)
• Implement data quality checks, monitoring, and observability across all data workflows

Requirements:

• You have 3-5 years of experience building data infrastructure and pipelines in production environments
• You have extensive experience with AWS data services (S3, RDS, Redshift, Glue, Lambda, etc.) and understand how to architect scalable data solutions in the cloud
• You have hands-on experience with ETL/ELT frameworks, data orchestration tools, and building reliable data pipelines that handle high-volume workloads
• You are proficient with Python, SQL, and data processing frameworks, with experience in tools like Dagster, Airflow, or similar orchestration platforms
• You have experience integrating diverse data sources (APIs, databases, file systems) and transforming raw data into analytics-ready formats
• You understand data modeling, warehousing concepts, and best practices for data quality, monitoring, and observability
• You are obsessed with automation, reliability, and documentation so that every pipeline you build is maintainable and scalable
• You thrive in ambiguity, take action quickly, and get energy from wearing multiple hats in a startup
• You can clearly communicate technical concepts and collaborate effectively with both technical and non-technical stakeholders