Data Engineer

Role Overview

The Data Engineer will ingest data from internal and external sources, develop software tools to cleanse and transform data, and make decisions regarding own work methods.

What You Will Do

The Data Engineer will develop software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions.

Why It Might Be a Fit

The Data Engineer will be passionate about contributing to an organization focused on continuously improving consumer experiences and will have the opportunity to make an impact with their skills.

Requirements

• Bachelor’s degree or 5 years of technical experience
• 5 years of experience with Databricks, Spark, and Scala
• Knowledge of SQL and relational database models
• Experience designing, developing, and testing of software applications and/or infrastructure
• Experience with APIs to expose large datasets to applications and data analytics solutions
• Experience with Azure Cloud: Azure Data Factory (ADF), Pipelines, Azure Synapse Analytics (ASA), and Azure Data Lake Storage (ADLS)
• Experience with development, release and support of data processing pipelines
• Experience with test automation frameworks and tools
• Experience with Agile, Continuous Integration, Continuous Deployment (CI/CD)

Benefits

• Medical, dental and vision benefits
• 401(k) retirement savings plan
• Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
• Short-term and long-term disability
• Life insurance