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  1. Home
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  5. Data Engineer
IBM logo

Data Engineer

Not Disclosed•Full-TimeOn-site

location_on9, East 45th Street, Midtown, Manhattan Community Board 5, Manhattan, New York County, New York, 10017, United States

Apply Now

About IBM Quantum

IBM Quantum is building the world's leading quantum computing systems, software, and cloud services. Our mission is to advance the field of quantum computing by creating robust hardware and the software ecosystems that power it.

About the Role

The Data Engineer in this role is a seasoned specialist focused on Data Integration. You will design and build solutions to transfer data from operational and external environments into the business intelligence landscape. Your expertise ensures the seamless flow of data throughout the entire lifecycle of our business intelligence solutions.

You will work closely with quantum hardware, firmware, cloud, and product teams to turn diverse technical datasets into trusted analytics assets. These assets guide decision-making across IBM Quantum's roadmap, providing insight into quantum hardware performance, system reliability, user workloads, and platform operations.

Hiring Process

  • Initial Screening: A conversation with a recruiter to discuss your background and the role.
  • Technical Deep Dive: A detailed discussion on your data engineering experience, focusing on data integration, ETL/ELT workflows, and architecture.
  • Team Fit: An interview with the hiring team to assess collaboration and cultural alignment.
  • Final Decision: Offer and onboarding.

Equal Opportunity Employer

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Work location

Work model: On-site

location_on

9, East 45th Street, Midtown, Manhattan Community Board 5, Manhattan, New York County, New York, 10017, United States

New York, New York

Key Responsibilities

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Frequently asked questions about Data Engineer at IBM

What does a Data Engineer at IBM do?expand_more
A Data Engineer at IBM is responsible for the following: Design and build scalable data pipelines for analytics and hardware performance insights; Implement data transformations and validations using Python and pandas; Build and operate orchestration workflows in Apache Airflow for dependency management; and Apply advanced SQL skills with PostgreSQL and Presto for complex analytical queries.
What are the requirements for this Data Engineer role?expand_more
IBM is looking for candidates who meet the following requirements: Advanced SQL skills using PostgreSQL and Presto; Experience with Apache Airflow for orchestration; Python programming with pandas; Experience with Apache Kafka or IBM Event Streams; Git-based version control; and Experience with Lakehouse solutions (e.g., IBM watsonx.data).
Where is the Data Engineer role at IBM located?expand_more
Data Engineer at IBM is based in 9, East 45th Street, Midtown, Manhattan Community Board 5, Manhattan, New York County, New York, 10017, United States. This is a on-site role.
Is this Data Engineer job remote, hybrid, or on-site?expand_more
IBM has listed this Data Engineer role as on-site.
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check_circle
Design and build scalable data pipelines for analytics and hardware performance insights
  • check_circleImplement data transformations and validations using Python and pandas
  • check_circleBuild and operate orchestration workflows in Apache Airflow for dependency management
  • check_circleApply advanced SQL skills with PostgreSQL and Presto for complex analytical queries
  • check_circleSupport large-scale batch processing for high-volume heterogeneous datasets
  • check_circleIntegrate diverse technical data sources into trusted analytical datasets
  • check_circleConsume event-driven data using streaming platforms like Apache Kafka
  • check_circleDevelop and maintain ETL/ELT workflows ensuring data quality and timeliness
  • check_circleCollaborate with cross-functional teams to translate requirements into production-ready solutions
  • Requirements

    • verifiedAdvanced SQL skills using PostgreSQL and Presto
    • verifiedExperience with Apache Airflow for orchestration
    • verifiedPython programming with pandas
    • verifiedExperience with Apache Kafka or IBM Event Streams
    • verifiedGit-based version control
    • verifiedExperience with Lakehouse solutions (e.g., IBM watsonx.data)
    • verifiedExperience with distributed analytics engines (Presto/Trino, Apache Spark)
    • verifiedExperience with cloud-based or distributed environments

    Nice to Have

    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.

    IBM logo
    Company

    IBM

    Industry

    it

    View company profilearrow_forwardlanguageWebsite
    Quick Overview

    Experience

    Senior

    Job Type

    Full-Time

    Skills Required

    Data IntegrationEtlPostgresqlPrestoApache AirflowPythonPandasApache KafkaIbm Event StreamsGit
    arrow_forward
    How much experience is required for this Data Engineer role?
    expand_more
    Candidates for Data Engineer at IBM should have senior.
    What skills do you need for the Data Engineer role at IBM?expand_more
    Key skills for Data Engineer at IBM include Data Integration; Etl; Postgresql; Presto; Apache Airflow; Python; Pandas; and Apache Kafka.
    What category does the Data Engineer role belong to?expand_more
    Data Engineer at IBM is part of the it job category on Recrutus.
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