Engage with stakeholders to translate business needs into technical solutions
Engineer and implement scalable data engineering solutions with production-ready code
Prioritize rapid prototyping and iterative development to validate MVPs
Cultivate cross-team relationships and expand technical knowledge

🎯 Requirements

Bachelor's Degree with 7 years of experience; Master's Degree with 6 years; or PhD with 2 years
Python and SQL proficiency (expert-level)
Experience with batch and real-time data pipelines (Apache Spark, Kafka, Flink, Databricks)
Experience with cloud platforms (Azure, AWS, Google Cloud)
Knowledge of data modeling, warehousing, lakes, and lakehouse architectures
Experience with data quality, observability, lineage, metadata, governance, security

🎁 Benefits

Paid time off (vacation, holidays, sick)
Medical/dental/vision insurance
401(k)
Long-term incentive programs
Salaried position with base pay range $109,500 - $208,500 USD per year

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