Software Engineer II

Posted on Mar 15

The Department

About the Company

Civis Analytics helps leading businesses, nonprofits and government use data to identify, attract, and engage customers, constituents and citizens. With a blend of proprietary data, technology and advisory services, and an interdisciplinary team of data scientists, developers, and survey science experts, Civis helps organizations stop guessing and start using statistical proof to guide decisions. Learn more about Civis at www.civisanalytics.com.

Civis embraces the individuality of our employees and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Your Role

About the Role

Software Engineers are responsible for building the backbone of Civis Analytics -- the software products that our customers use to solve their hardest business problems. Civis engineers have near-endless opportunities to create new products and improve existing processes, from backend data processing to visualization and analytics tools, and we welcome your creativity. Whether you're a generalist or an expert in web apps, big data, stats, or visualization, we want to talk to you.

What's great about being an engineer at Civis?

We believe in ownership of our work and continuous learning, and we set up our team to reinforce those values. We trust engineers from all over our team to pick the right architecture, library, or framework for the job at hand. They help make decisions about new products in cross-functional design sprints and take quarterly hack weeks to try out new ideas and new technologies. Civis engineers push code to production on their second day and quickly ramp up on projects of increasing responsibility. We want to never stop learning. Everyone has a mentor from day one and tracks their personal development alongside their technical deliverables. We staff projects based on what people will learn, not just who knows it best today. Engineers collaborate across departments with our data scientists and analysts who are not only the best and brightest in their fields, but are also eager to teach and learn from you. Finally, valuing continuous learning also means recognizing that our strongest contributors stand out for their capabilities and not their credentials. We are smart, fun, and a little bit weird.

Does this sound like you?

Civis Analytics has opportunities for applicants who are seasoned professionals, brilliant newcomers, and anywhere in between. We are looking for detail-oriented individuals from diverse backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

Requirements

Minimum Qualifications

3+ years experience as a software developer/engineer
Experience developing web applications with frameworks such as Rails or Django
Comfort working with with SQL databases
Love of problem-solving
An ability and eagerness to constantly learn and teach others

Preferred Qualifications

Graduate degree in Computer Science or related subject
Significant experience with one or more of the following:
Developing large web applications
Python, Ruby, and/or Go (golang)
Designing and building APIs
Query optimization, database administration, analytics databases, and/or NoSQL
Scaling and ensuring reliability of large SaaS applications
Automated software testing and continuous integration
Cloud application deployment and monitoring
Proficiency working with Amazon Web Services (AWS)
Data visualization for the web (using D3 or similar)
React or AngularJS
Statistics and predictive modeling (using tools like pandas, scikit-learn, NumPy, SciPy, R, STATA)
Political technology and data

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