Senior Data Engineer: ETL & Cloud Data Solutions

CarMax Business Services; United States; On-site; USD 111,000 - 166,000; Full time

Benefits offered by this job

Bonus eligibility

Equity eligibility

Paid time off

Job summary

CarMax is seeking a Data Integration Specialist in Plano, TX to design and implement ETL/data integration using Azure Data Factory, Databricks, SQL, Python and Java. You will partner with product and technology leads to align requirements with target architecture and ensure data quality across ingestion pipelines.

The role requires 5 years of related experience, strong SQL/Java skills, and familiarity with ETL, data analysis and MDm tooling.

Qualifications

• Bachelor’s degree in Information Systems, IT, CS, or related field and 5 years’ experience.
• Experience with MS SQL, T-SQL, PL/SQL, Java, Cloud, JSON/XML, Kafka, ETL.
• Knowledge of data analytics, data mining and data reporting; familiarity with SAP-like facets.

Responsibilities

• Partner with PMs, Tech Managers and Architects to capture requirements and target architecture.
• Develop ETL and data integration using Azure Data Factory, Databricks, SQL, Python and Java.
• Analyze and troubleshoot ETL data quality issues and data ingestion validation.
• Support data modeling and configuration of the MDM platform; promote DevOps/Data Ops practices.
• Represent KPI metrics, defects and progress to stakeholders.

Skills

MS SQL

T-SQL

PL/SQL

Java

Cloud

JSON/XML

Kafka

ETL

Data Analysis

Data Mining

Data Reporting

FACETS

JIRA

Confluence

Bitbucket

Education

Bachelor’s degree in Information Systems / IT / CS or related field

Tools

Azure Data Factory

Databricks

FACETS

Microsoft Project

Job description

CarMax is seeking a Data Integration Specialist in Plano, TX to design and implement ETL/data integration using Azure Data Factory, Databricks, SQL, Python and Java. You will partner with product and technology leads to align requirements with target architecture and ensure data quality across ingestion pipelines.

The role requires 5 years of related experience, strong SQL/Java skills, and familiarity with ETL, data analysis and MDm tooling.