Senior Software Engineer focusing on data engineering and machine learning for Workday. Involves data ingestion, governance, and collaboration using modern technologies.
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
Requirements
- 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
Benefits
- Offers Bonus
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