🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology. The Sr. Data Engineer will be part of the Data & AI Team. The Data & AI Team works very closely with all aspects of applications and data pipelines. We are looking for a Sr. Data Engineer to design, develop, and optimize the flow of data throughout the organization, enabling end user to provide valuable insights of data across Copart. In this role, your work will broadly influence the company's data consumers, executives and analysts. Key Responsibilities 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. Qualifications 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 At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully. E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: E-verify Participation Right to Work
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.