Staff Data Engineer

Job Description

Job Title: Staff Data Engineer. Location: Bothell, Washington, United States

Quantum computers generate massive volumes of data; This data plays a critical role in improving system performance and accelerating progress; IonQ is looking for a Staff Data Engineer to help design and scale the data infrastructure that powers next-generation quantum systems.

Responsibilities:

Design, build, test, deploy, and maintain scalable data pipelines and data warehouses
Architect resilient distributed systems to support large-scale data processing
Ensure system reliability and data quality through design and code reviews
Collaborate closely with experimental and theoretical physics teams;
Identify and lead continuous improvements across data platforms and workflows
Approach complex problems with practical and simple solutions
Mentor team members and support technical growth across the organization

Qualifications:

Bachelor’s degree in Computer Science, Mathematics, Physics, Statistics, or equivalent practical experience
8 or more years of professional software development experience using Python;
8 or more years of experience with SQL and NoSQL databases
Strong experience designing data models and data warehouses
Experience with ETL pipelines handling structured and unstructured data
Experience working with distributed data processing systems
Proficiency with Unix or Linux environments;
Strong written and verbal communication skills
Ability to work effectively in an interdisciplinary team environment

Preferred:

Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related field
Experience with tools and platforms such as Kubernetes, Postgres, Airflow, Grafana, Apache Iceberg, Superset, Trino or PrestoDB, DBT, Terraform, Segment, InfluxDB, and OpenTelemetry
Experience with data governance, including data catalogs and data quality systems
Experience with machine learning or deep learning frameworks such as PyTorch, TensorFlow, or Keras