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Aerotek Software Engineer in Seattle, Washington

Description:

This team needs to analyze a lot of data for Nautilus to be successful. Need to make sure data pipelines are in order and that they can perform the correct analysis and scale correctly. They will be using the data in smaller amounts transactions of large packets of data vs. large amounts of transactions with small packets of data.

2-10 years of experience, but would also look at higher education candidates (MS and PhD) with less experience

• Must Have:

o Python (pandas, Numpy etc.)

o C++ (nice to have)

• Nice to have:

o Workflow management - airflow etc.)

o Serverless frameworks (Kubernetes, docker etc.)

o AWS/Azure etc.

• Data: couple gigabytes will be sufficient (can grow)

• Industry: large companies (better software process coming in)

• Important that they have significant CS fundamentals and willingness to learn or adapt

• Looking more software over data science experience.

Roles and Responsbilities

Working closely with bioinformaticists, scientists, and other users to understand the data analysis techniques that will be needed to make discoveries within these data sets.

Collaborating with other software engineers to design an extensible, modular, and scalable pipeline orchestration system that meets current and future company needs.

Driving an implementation of the processing pipelines from this design, deploying it into production, and iterating based on real-time user feedback.

Skills:

C++, python, data process, workflow management, azure, aws

Top Skills Details:

You have a Bachelor’s degree in Computer Science or a similar field, or equivalent experience in the industry.

You have 2+ years of experience in a high-performing software engineering organization.

You have a solid grasp of Computer Science fundamentals and Software Engineering skills.

You have experience with the entire software lifecycle of large-scale production-quality software, including design, implementation, and ongoing support.

You know how to use integration, functional, and unit test frameworks to quickly build out tests that prove the behavior of complex systems.

You find it fun to design and build complex systems while working side-by-side with their users.

You have excellent written and oral communication skills, a knack for problem-solving, and a deeply collaborative nature.

You are fluent in Python and common Python test frameworks.

You are conversant with scientific packages for Python, such as matplotlib, pandas, and scikit-learn.

You have experience with processing large-scale, complex, and multi-modal data sets.

You know how to use workflow management frameworks, such as Airflow, Nextflow, or Prefect.

You are familiar with standard containerization practices and DevOps tools, such as Docker, Ansible, Jenkins, CircleCI, and Terraform.

You have used standard AWS infrastructure and server-less services, such as S3, RDS, EC2, ELB, SQS, SNS, and Lambda.

Additional Skills & Qualifications:

• Core Values: humility, lifelong learner, bootstrap and work from scratch

Qualifications and Education Requirements

You have a Bachelor’s degree in Computer Science or a similar field, or equivalent experience in the industry.

You have 2+ years of experience in a high-performing software engineering organization.

You have a solid grasp of Computer Science fundamentals and Software Engineering skills.

You have experience with the entire software lifecycle of large-scale production-quality software, including design, implementation, and ongoing support.

You know how to use integration, functional, and unit test frameworks to quickly build out tests that prove the behavior of complex systems.

You find it fun to design and build complex systems while working side-by-side with their users.

You have excellent written and oral communication skills, a knack for problem-solving, and a deeply collaborative nature.

You are fluent in Python and common Python test frameworks.

You are conversant with scientific packages for Python, such as matplotlib, pandas, and scikit-learn.

You have experience with processing large-scale, complex, and multi-modal data sets.

You know how to use workflow management frameworks, such as Airflow, Nextflow, or Prefect.

You are familiar with standard containerization practices and DevOps tools, such as Docker, Ansible, Jenkins, CircleCI, and Terraform.

You have used standard AWS infrastructure and server-less services, such as S3, RDS, EC2, ELB, SQS, SNS, and Lambda.

Experience Level:

Intermediate Level

About Aerotek:

We know that a company's success starts with its employees. We also know that an individual's success starts with the right career opportunity. As a Best of Staffing® Client and Talent leader, Aerotek's people-focused approach yields competitive advantage for our clients and rewarding careers for our contract employees. Since 1983, Aerotek has grown to become a leader in recruiting and staffing services. With more than 250 non-franchised offices, Aerotek's 8,000 internal employees serve more than 300,000 contract employees and 18,000 clients every year. Aerotek is an Allegis Group company, the global leader in talent solutions. Learn more at Aerotek.com.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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