About the role

Data Engineer responsible for building and maintaining AWS Lakehouse infrastructure for trade contractors at Remarcable. Focused on clean data architecture and AI/ML data infrastructure.

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

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