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Data Engineer – IBM Quantum

May 30, 2026

Introduction IBM Quantum is building the world’s leading quantum computing systems, software, and cloud services. The Data Engineer in this role will design and operate the data pipelines that power insight into quantum hardware performance, system reliability, user workloads, and platform operations. You will work closely with quantum hardware, firmware, cloud, and product teams to turn diverse technical datasets into trusted analytics assets that guide decision-making across IBM Quantum’s roadmap. Your Role And Responsibilities As a seasoned Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. Your expertise will ensure the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include: <ul><li>Design Data Integration Solutions: Create and implement Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments</li><li>Develop ETL Processes: Build and maintain efficient ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards.</li><li>Ensure Seamless Data Flow: Monitor and troubleshoot data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.</li><li>Optimize Data Integration Solutions: Continuously evaluate and improve data integration solutions, identifying opportunities for process improvements and efficiency gains. </li></ul>Preferred Education Master's Degree Required Technical And Professional Expertise <ul><li>Design, build, and maintain scalable, reliable data pipelines supporting analytics, operational dashboards, and hardware performance insights for IBM Quantum systems.</li><li>Contribute towards building IBM Quantum’s Lakehouse by implementing scalable data connectors.</li><li>Develop and operate ETL/ELT workflows and tooling with a focus on data quality, accuracy, timeliness, and continuous improvement.</li><li>Apply advanced SQL skills using PostgreSQL and Presto to support analytical workloads, including complex queries and performance tuning.</li><li>Build and operate orchestration workflows in Apache Airflow, including dependency management, retries, backfills, monitoring, and operational reliability.</li><li>Implement data transformations and validations using Python (e.g., pandas and related libraries).</li><li>Support large-scale batch processing for high-volume, heterogeneous datasets, including system telemetry, experiment metadata, cloud operations data, and device performance metrics.</li><li>Work with streaming platforms such as Apache Kafka or IBM Event Streams to consume event-driven data from distributed quantum systems and services.</li><li>Apply streaming architecture concepts including topics, partitions, consumer groups, and schema evolution.</li><li>Integrate multiple technical data sources—quantum hardware telemetry, calibration data, experiment logs, job execution data, user activity, system health metrics—into trusted analytical datasets.</li><li>Collaborate with quantum hardware, software, product, SRE, and analytics teams to translate requirements into robust, production-ready data solutions.</li><li>Use Git-based version control, contribute via code reviews, and follow industry-standard software engineering best practices. </li></ul>Preferred Technical And Professional Experience <ul><li>Experience with Lakehouse solutions and architectures, including IBM watsonx.data</li><li>Experience with distributed analytics engines such as Presto/Trino, or Apache Spark</li><li>Familiarity with data modeling techniques for analytical and reliability engineering use cases.</li><li>Exposure to data governance concepts such as access control, dataset ownership, lineage, and lifecycle management.</li><li>Experience operating data pipelines in cloud-based or distributed environments (e.g., hybrid cloud, containerized systems).</li><li>Experience working with hardware telemetry, infrastructure monitoring data, or high-volume operational datasets.</li><li>Interest in or exposure to quantum computing, advanced hardware systems, cryogenics, or other deep-technology platforms.</li></ul>

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...