Sr. Data Engineer I

📋 Description

• Design and build scalable data extracts, transformations, and data models.
• Deploy and provision data solutions across environments.
• Build ML pipelines with data scientists: feature engineering, training, deployment, monitoring.
• Implement CI/CD for data and ML workflows; automate testing and deployment.
• Establish MLOps standards, governance, and observability for models.
• Design data platforms for batch, streaming, and real-time inference.

🎯 Requirements

• Bachelor or Master’s in Computer Science, Information Systems, or a technical field.
• 5+ years of experience as a Data Engineer in data & analytics.
• Databricks and cloud warehousing (S3, Redshift, BigQuery) with strong data modeling.
• Hands-on PySpark for ETL/ELT on semi-structured data.
• Advanced Python and SQL, including query optimization; RESTful APIs.
• Experience deploying ML models in production; ML tooling (MLflow, SageMaker, Kubeflow).

🎁 Benefits

• Anticipated pay scale: $116,000 – $184,000 USD.
• Medical, dental, vision, basic life insurance; 401(k) plan.
• Paid holidays and PTO; benefits eligibility per plan documents.