Senior Engineer, Data (multiple positions)

CarMax • Portland, OR

1d

About The Position

CarMax, the way your career should be! Summary of Duties: Partner with Product Managers, Technology Managers, and Architect to understand business requirements and target architecture, and to develop and meet functional requirements. Develop ETL and data integration processes, using a variety of technologies, including Azure Data Factory, Databricks, SQL, Python and Java. Analyze and troubleshoot data integrations to identify and resolve missing or incorrect or inconsistent data due to ETL issues. Assist the team in performing data analysis required for ingestion or syndication of new data sources including testing and validation. Assist the team in knowing, defining and adhering to best practices for version control (branding, merging, etc.), promotion methodology (DevOps, Data Ops), and incorporating reliability engineering. Assist the team with data modeling and configuration of the MDM platform. About CarMax CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide. Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.

Requirements

• Bachelor’s degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study
• Five (5) years of experience in the job offered or related occupation in which the required experience was gained.
• MS SQL
• T-SQL
• PL/SQL Developer
• Java
• Cloud
• Oracle
• JSON XML
• Kafka
• Software Development Project Management
• V-Model
• Waterfall
• Agile-Scrum Methodologies
• ETL, Data Analysis, Data Mining and Data Reporting
• FACETS
• JIRA
• Microsoft Project
• Confluence
• Bitbucket
• Reporting KPIs and other key information (metrics, defects, project progress) to stakeholders.

Responsibilities

• Partner with Product Managers, Technology Managers, and Architect to understand business requirements and target architecture, and to develop and meet functional requirements.
• Develop ETL and data integration processes, using a variety of technologies, including Azure Data Factory, Databricks, SQL, Python and Java.
• Analyze and troubleshoot data integrations to identify and resolve missing or incorrect or inconsistent data due to ETL issues.
• Assist the team in performing data analysis required for ingestion or syndication of new data sources including testing and validation.
• Assist the team in knowing, defining and adhering to best practices for version control (branding, merging, etc.), promotion methodology (DevOps, Data Ops), and incorporating reliability engineering.
• Assist the team with data modeling and configuration of the MDM platform.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level