Software Engineer With Focus On Data Applications at DrivenData Labs
Oct 29, 2018
DrivenData brings the transformative power of data science to
organizations tackling the world's biggest challenges. We run online
with social impact, and we work
mission-driven organizations to drive change through machine
intelligence and analytics.
We are looking for a talented software engineer who is interested in
using their job to take on tough social challenges, while growing their
data acumen and building real-world applications. As a core member of a
small team your role will include managing code development,
brainstorming approaches to engineering problems, working closely with
data science and machine learning developers, and taking an open and
constructive mindset to getting things done across multiple projects.
You'll work directly with data scientists that started their careers as
software engineers, bringing an experienced understanding of software
processes alongside opportunities to learn new quant skills, tools, and
ways of approaching data applications.
We are looking for a talented Python engineer who is interested in
data (possibly looking to transition into data engineering or data
Advanced proficiency in Python and comfort with Linux a necessity.
Good opportunity to learn the quant skills necessary to work in
the data space. No need to have a background in math or a CS
degree, but the job will involve a lot of quantitative thinking so
the applicant should not be afraid of math.
Working on a small team means doing a little bit of a lot of things.
We're looking for somebody who can ask the right questions to
figure out what is important, iterate between brainstorming
together and working independently, and exercise sound engineering
judgment to make reasonable decisions under conditions of
Doing client-facing work involves turning uncertainty into a
reasonable path forward. As a team, we value arguments for how to
proceed based on evidence, and we want somebody who will present
their opinion and engage in a discussion around the best way
We value a positive attitude and the abilities to adapt, learn, and
Here are some of the things you'd be doing on an ordinary day:
Internal software development
Client-facing software development
Maintain our Python codebase for drivendata.org, fix bugs, add
features, safely refactor and maintain test coverage.
Develop new internal tooling and improve on existing apps.
Light DevOps Tasks
Build a variety of applications, generally small green-field proofs
Quickly learn and adopt new technologies on demand based on client
needs; a typical engagement may include at least one data
technology we haven't all worked with before (e.g. Elasticsearch,
Apache Storm, Cassandra).
Generally applications involve frontend and backend development, so
modern JS libraries and best practices are a plus. (We ❤ Vue.js
and use it for projects).
Often our data-driven applications use sqlalchemy, pandas, numpy and
scikit-learn to manage data and build models so familiarity with
these libraries is a plus.
Spin up EC2 instances.
Log into a server remotely to check on job status or debug issues.
Set up databases both locally and in the cloud.
Nice to have
SQL (intermediate to advanced)
Must be able to learn quickly by reading appropriate documentation
in order to write clean, idiomatic code.
Experience using IaaS like Amazon AWS or PaaS like Heroku
Experience using Docker
Exposure to big data tools like Spark or Hadoop, or familiarity with
the underlying ideas like MapReduce
We offer competitive salary and benefits including flexible work and
unlimited vacation, health coverage, and choice in the computing
equipment you use.
Work Schedule: Full-time
Salary: Not Specified
Position is expired.Thanks for your interest.