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# Data Engineer

- **Company:** Copart, Inc.
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, BigQuery, Databases, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Data Flow Control, Python (Programming Language), Microsoft SQL Server, MySQL, Oracle Business Intelligence Enterprise Edition, Oracle (Applications), Pentaho Data Integration, Power BI, Scala (Programming Language), SQL Databases, Data Streaming, Tableau (Software), Workflow Management Systems, Data Logging, Data Processing, Google Cloud, Netezza, Snowflake, Build Management, Information Technology, Google Bigquery, Apache Kafka, Vertica, Stream Processing, Looker Analytics, Data Pipelines, MemSQL, Amazon Redshift
- **Published:** June 24, 2026
- **Apply:** https://www.dice.com/job-detail/c1a27cee-ada0-4198-a3c7-d68cd3f274b8

## About the Role

* Bachelor's degree or higher in Computer Science, Engineering, or related field.
 * 3-5 years of experience designing, developing, testing, and implementing scalable, high-performing data warehouse and BI solutions.
 * Enterprise development experience with databases (SQL Server, Oracle, MySQL, Vertica, MemSQL, Netezza, Redshift, Google BigQuery.
 * Hands-on experience with real-time data pipelines (Pub/Sub, Kinesis, Kafka) and database architecture (including MPP).
 * Experience with ETL/ELT and data transformation tools (DBT, DataFlow, Informatica).
 * Hands-on experience with workflow orchestration platforms (Apache Airflow, Prefect, Dagster, Cloud Composer).
 * Proficiency in BI/Analytical tools (Tableau, Looker, OBIEE, Power BI).
 * Strong analytical skills to translate complex business problems into actionable insights.
 * Exceptional communication and analytical skills with demonstrated ability to engage both technical and business audiences.

Technical Skills

 * Programming: Python, SQL, Java, Scala
 * Cloud Platforms: AWS, Google Cloud Platform, Azure
 * Data Warehousing: BigQuery, Redshift, Snowflake
 * Stream Processing: Apache Kafka, AWS Kinesis, Google Pub/Sub
 * Workflow Orchestration: Apache Airflow, Prefect, Dagster, Cloud Composer
 * BI Tools: Tableau, Pentaho, Looker, Power BI, Thoughtspot

## Description

* Design and build the next-generation AI ready data platform.
 * Develop and automate data processing systems leveraging DBT to deliver data insights at an enterprise scale.
 * Design and implement workflow orchestration using Airflow / Cloud Composer for seamless data pipeline execution and scheduling across multiple systems.
 * Develop logging, metrics, and alerts for active monitoring of processes.
 * Collaborate with Product Managers and Application teams to create data models and schemas for easy access to complex datasets.
 * Maintain data integrity in production systems.
 * Balance and prioritize multiple conflicting requirements with high attention to detail.


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