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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - IBM Quantum - **Company:** IBM - **Location:** Chicago, IL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Batch Processing, Cloud Computing, Code Review, Data Transmissions, Data Files, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Database Queries, Distributed Systems, Monitoring of Systems, Python (Programming Language), PostgreSQL, Performance Tuning, Quantum Computing, Reliability Engineering, Data Streaming, Data Import/Export, Sql Optimization, Apache Spark, HybridCloud, Git, Build Management, Apache Kafka, Presto, Software Version Control, Data Pipelines - **Published:** July 6, 2026 - **Apply:** https://www.juju.com/job/00000000ge8ddk ## About the Role * Use Git-based version control, contribute via code reviews, and follow industry-standard software engineering best practices. Preferred technical and professional experience * Experience with Lakehouse solutions and architectures, including IBM watsonx.data * Experience with distributed analytics engines such as Presto/Trino, or Apache Spark * Familiarity with data modeling techniques for analytical and reliability engineering use cases. * Exposure to data governance concepts such as access control, dataset ownership, lineage, and lifecycle management. * Experience operating data pipelines in cloud-based or distributed environments (e.g., hybrid cloud, containerized systems). * Experience working with hardware telemetry, infrastructure monitoring data, or high-volume operational datasets. * Interest in or exposure to quantum computing, advanced hardware systems, cryogenics, or other deep-technology platforms. ## Description 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: * Design Data Integration Solutions: Create and implement Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments * Develop ETL Processes: Build and maintain efficient ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards. * Ensure Seamless Data Flow: Monitor and troubleshoot data integration issues, collaborating with stakeholders to resolve problems and optimize data flow. * Optimize Data Integration Solutions: Continuously evaluate and improve data integration solutions, identifying opportunities for process improvements and efficiency gains. Required technical and professional expertise * Design, build, and maintain scalable, reliable data pipelines supporting analytics, operational dashboards, and hardware performance insights for IBM Quantum systems. * Contribute towards building IBM Quantum's Lakehouse by implementing scalable data connectors. * Develop and operate ETL/ELT workflows and tooling with a focus on data quality, accuracy, timeliness, and continuous improvement. * Apply advanced SQL skills using PostgreSQL and Presto to support analytical workloads, including complex queries and performance tuning. * Build and operate orchestration workflows in Apache Airflow, including dependency management, retries, backfills, monitoring, and operational reliability. * Implement data transformations and validations using Python (e.g., pandas and related libraries). * Support large-scale batch processing for high-volume, heterogeneous datasets, including system telemetry, experiment metadata, cloud operations data, and device performance metrics. * Work with streaming platforms such as Apache Kafka or IBM Event Streams to consume event-driven data from distributed quantum systems and services. * Apply streaming architecture concepts including topics, partitions, consumer groups, and schema evolution. * Integrate multiple technical data sources-quantum hardware telemetry, calibration data, experiment logs, job execution data, user activity, system health metrics-into trusted analytical datasets. * Collaborate with quantum hardware, software, product, SRE, and analytics teams to translate requirements into robust, production-ready data solutions. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Hands-on Journey to Quantum Computing with IBM](https://www.wearedevelopers.com/videos/137-hands-on-journey-to-quantum-computing-with-ibm) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)