Senior Data Engineer
Role Overview
A Senior Data Engineer position within an agile team, focused on building scalable data pipelines and modernizing a multi-cloud data platform. The role involves working with streaming technologies, Lakehouse architectures, and leveraging automation/AI to improve efficiency.
Key Skills for This Role
Full Job Posting
Overview
A Senior Data Engineer position within an agile team, focused on building scalable data pipelines and modernizing a multi-cloud data platform. The role involves working with streaming technologies, Lakehouse architectures, and leveraging automation/AI to improve efficiency.
Key Responsibilities
- Pipeline Development: Build ETL/ELT pipelines (Python, SQL), optimize Spark/PySpark jobs, manage Airflow DAGs, and implement dbt transformations.
- Lakehouse Architecture: Design medallion-style architectures using S3 and modern table formats (Iceberg, Delta Lake) with optimized layouts.
- Platform Infrastructure: Create reusable frameworks, enforce data contracts, build CI/CD pipelines, and establish observability practices.
- Data Quality: Implement validation frameworks, data contracts, and SLIs/SLOs for critical pipelines.
Required Experience
5+ years in data engineering
Strong Python, advanced SQL, Airflow, Spark/PySpark, dbt, and CI/CD proficiency
Experience with Lakehouse architectures, dimensional modeling, and cloud data warehouses (S3, Athena, Redshift)
Data quality frameworks, monitoring, and schema evolution expertise
Nice-to-Haves
Streaming platforms (Kafka, Kinesis)
AI coding assistants (Cursor, Claude Code, Copilot)
Terraform, Kubernetes/Docker
Data catalog/metadata management experience
We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.
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