Staff Data Engineer

Bothell, Washington, United States

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IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. 

Quantum computers generate huge amounts of data that we can use to make quantum computers even better. We are seeking an enthusiastic Staff Data Engineer who is passionate about data engineering and machine learning. You will help build high-quality, scalable, and resilient distributed systems that power our data pipelines. You’ll be responsible for leading the development of key components of our data platform while collaborating with experimental and theoretical physics teams. Help us use data to build the world’s best quantum computers!

The ideal candidate will have experience leading or contributing to multiple simultaneous product development efforts, projects, and initiatives. You’ll be able to balance technical expertise and savvy with strong business judgment to make great technology choices. You’ll strive for simplicity and demonstrate significant creativity and incisive judgment.

Responsibilities:

  • Design, architect, develop, test, deploy, and maintain our data pipelines and warehousing
  • Ensure the quality of our systems through design and code reviews 
  • Collaborate with an experienced interdisciplinary staff
  • Identify and drive opportunities for us to continuously improve how we do things
  • Approach problems pragmatically
  • Assist in the career development of others, providing mentorship on advanced technical issues


You’d be a good fit with:

  • Bachelor’s degree in Computer Science, Mathematics, Physics, Statistics, or equivalent practical experience -- non-traditional backgrounds are welcome here as well
  • 5+ years experience with software development in Python
  • 5+ years experience with SQL and NoSQL databases
  • A love of collaborating across teams in an interdisciplinary environment
  • Experience designing data models and data warehouses 
  • Experience with data processing using traditional and distributed systems
  • Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources
  • Experience with Unix or Linux systems
  • Excellent verbal and written communication skills


You’d be a great fit with:

  • Master’s degree or PhD in Computer Science, Mathematics, or Statistics, or related scientific field
  • Significant experience with technologies such as:
    • Kubernetes, Postgres, Airflow, Grafana, Apache Iceberg, Apache Superset, Trino/PrestoDB, DBT, Terraform, Segment, InfluxDB, and OpenTelemetry
  • Experience with Data Governance, specifically covering data catalogs and data quality
  • Experience with deep learning platforms like Keras, Tensor-flow and/or PyTorch

Location: This role will work onsite at our office located in Bothell, WA.  We are open to hybrid and remote options for the right candidate.

The approximate base salary range for this position is $162,920 - $213,304.

Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at ionq.co/jobs.  Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance!


IonQ's HQ is located in College Park, Maryland, a quick 15-minute metro from Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, or Toronto. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying!
 
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
 
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.

The position you are applying for may require access to technology that is subject to U.S. export control and government contract restrictions.  Employment with IonQ is contingent on either verifying U.S.-person status for export controls and government contracts work and/or obtaining any necessary license/confirming the availability of a license exception under U.S. export controls.  Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. 

If you are interested in being a part of our team and mission, we encourage you to apply!


 

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Tags: Airflow Computer Science Data governance Data pipelines Data quality dbt Deep Learning Distributed Systems Engineering ETL Finance Grafana InfluxDB Keras Kubernetes Linux Machine Learning Mathematics NoSQL PhD Physics Pipelines PostgreSQL Python PyTorch SQL Statistics Superset Terraform

Perks/benefits: Career development Equity / stock options Health care Home office stipend Insurance Medical leave Parental leave Salary bonus Unlimited paid time off

Region: North America
Country: United States

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