Data Engineer L4 (Remote)

Quick Facts

Intermediate level Data Engineer focused on building scalable batch and stream data systems in a cloud environment.

Description

Use multiple methods to transform raw data into useful data systems. Create complex algorithms that align data systems with business goals and manage projects within larger projects.

Responsibilities

• Build and maintain complex scalable data pipelines for both batch and stream processing in a cloud-computing environment.
• Apply complex dimensional modeling to design tables and views that map business processes into an enterprise data model.
• Optimize database architecture by trading off storage and computation to achieve low cost and high performance.
• Build and support complex ETL infrastructure to deliver clean and reliable data to the organization.
• Support development of new products and services via ingestion, processing, and formatting data for reporting and analytics.
• Interact with business stakeholders, develop cooperative relationships, and acquire domain knowledge.
• Proactively automate manual processes for higher efficiency, robustness, and speed.
• Enforce production standards and governance best practices for enterprise-level data, metrics, and reports.
• Manage projects within larger projects.

Requirements

• Bachelor’s in Computer Science, Engineering, Data Science, or related field (Master’s or PhD preferred)
• 5+ years of experience in data engineering or similar work
• Excellent communication and interpersonal skills
• Versatile and quick learner
• Demonstrated strength in data modeling, ETL development, data warehousing, data pipeline and data lake creation
• Extensive experience with cloud infrastructure and tools for AWS and GCP
• Proficiency in Python development and advanced SQL querying
• Strong grasp of business elements; ability to convert requirements into database models and full-data pipeline systems
• Experience with visualization and reporting tools such as Looker and Tableau
• Experience with cloud data warehouses such as Snowflake
• Experience building data lakes in the cloud

Benefits

• Medical/pharmacy, dental, vision, life, and disability insurance
• Weight loss and smoking cessation programs
• Matching 401(k)
• Employee stock purchase plan participation