Data Engineer

Key Responsibilities

• Build and maintain scalable ELT pipelines and AWS Lakehouse infrastructure (S3, Redshift, Athena, Glue) to deliver reliable data across the organization
• Design multi-layer data architecture and dbt transformation models that produce clean, well-documented datasets
• Enforce data quality, governance, and security standards including PII handling using AWS Lake Formation and IAM policies
• Own pipelines for core SaaS metrics including ARR, churn, NRR, and product usage
• Build AI/ML data infrastructure including feature stores, training datasets, and embedding pipelines supporting SageMaker and Bedrock workflows

Who You Are

• 3+ years of experience in a Data Engineering or similar role (Analytics Engineer, Backend Engineer with data focus).
• Strong SQL skills — complex queries, window functions, performance tuning.
• Experience building and maintaining ELT/ETL pipelines in production.
• Proficiency in Python for data engineering tasks (scripting, pipeline logic, tooling).
• Hands-on experience with a modern cloud data warehouse