Staff Data Engineer, IonQ

$162.9-213.3k

SQL

Kubernetes

Python

Linux

Postgres

Airflow

Terraform

Grafana

Segment

PyTorch

Keras

Unix

dbt

Senior and Expert level

Denver

More information about location

Office located in Boulder, CO

Quantum computing platform

Open for applications

Quantum computing platform

201-500 employees

B2BManufacturingCloud ComputingScience

Open for applications

$162.9-213.3k

SQL

Kubernetes

Python

Linux

Postgres

Airflow

Terraform

Grafana

Segment

PyTorch

Keras

Unix

dbt

Senior and Expert level

Denver

More information about location

Office located in Boulder, CO

201-500 employees

B2BManufacturingCloud ComputingScience

Company mission

To build the world’s best quantum computers to solve the world’s most complex problems, transforming business, society, and the planet for the better.

Job

Company

Role

Who you are

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
Bachelor’s degree in Computer Science, Mathematics, Physics, Statistics, or equivalent practical experience -- non-traditional backgrounds are welcome here as well
8+ years experience with software development in Python
8+ 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

Desirable

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

What the job involves

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!
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

Our take

IonQ is a quantum computing company, its current quantum computer, the IonQ Quantum Cloud is accessible through the cloud. An offshoot of the co-founder's 25 years of academic research in quantum information sciences, IonQ hopes to build the world's best quantum computers that can solve complex problems at a much faster rate than that of traditional computers.

Over the past few years, IonQ has partnered with several major technology companies, including Microsoft, Amazon Web Services, and Google to make its quantum computers more widely available. Most recently, it partnered with General Dynamics Information Technology (GDIT) to bring quantum solutions to government and defense sectors across the US.

IonQ has also acquired Entangled Networks to bolster its product offerings and also merged with a special purpose acquisition company to become a publicly traded company on the New York Stock Exchange under the ticker symbol "IONQ". The merger brought in substantial gross earnings that IonQ plans to utilize in order to accelerate its technology development and commercialization efforts.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

60% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 3 rounds)

Jun 2020

$7m

SERIES B

Oct 2019

$55m

SERIES B

Total funding: $82m

Company HQ

College Park, MD

Leadership

Peter Chapman

(President & CEO)

Previously the Director of Engineering for Amazon Prime, and the President and CEO of Media Arc and eMusic.

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