Design and deploy comprehensive data architecture, build resilient ETL/ELT pipelines, implement data quality frameworks, and collaborate with data scientists to enable advanced analytics and predictive modeling.
Requirements
- 8+ years of hands-on ETL/ELT pipeline development across varied data sources
- Strong programming skills in Python, Scala, or Java
- Experience with modern data platforms — Snowflake, Databricks, Apache Spark, Kafka, Airflow
- Cloud platform experience — AWS, Azure, or GCP and their native data services
- Experience with real-time data processing and streaming architectures
- Solid data modeling, warehousing, and dimensional modeling fundamentals
- Knowledge of containerization and orchestration (Docker, Kubernetes)
- Practical knowledge of MCP and AI-assisted development tools
- Familiarity with DataOps and MLOps practices
- Experience managing sensitive/PII data with attention to compliance and governance
- Strong communication skills across technical and non-technical stakeholders
Benefits
- Full benefits
- Bonus
- Pension
- Medical/dental/vision
- Generous PTO
- Paid parental leave