Parse.ly is the analytics platform trusted by digital storytellers at some of the web's best sites, including the teams at The Wall Street Journal, Quartz, The New Yorker, TechCrunch, The Intercept, Slate, and many more.
Our product combines Edward Tufte’s design principles for information visualization with Google’s engineering principles for high-scale data systems.
How to get an interview¶
Our frontend team owns the core experience of Parse.ly’s customer-facing SaaS products -- most importantly, the real-time analytics dashboard.
We are seeking a senior developer who loves programming and shipping production software, but who also has keen design instincts and an ability to simplify, simplify, simplify -- until the data speaks for itself.
To prove these design instincts to us, we ask that you point toward some work you have done in the past that showcases your frontend, UX, or data viz design tastes. For example:
- A web portfolio of data visualization sketches, e.g. on bl.ocks.org, codepen.io, or similar.
- Dribbble, or similar, screen crops of your designed interfaces.
- Screenshots of past products you have worked on and how they looked in a shipped state, with some explanation of what parts you worked on, and how it was built. Using something like Dropbox is fine.
- Or, if none of the above are available, feel free to get creative! Perhaps include a recorded live demo (you could try useloom.com to record it); share a link to a recorded presentation at a conference or meetup; or, even share raw notes captured from your notebook. Indeed, photos of your design sketchbooks are very much welcome!
What you’ll do at Parse.ly¶
- Come up with novel interface implementations and data visualizations.
- Write code in Python that power our Django-based HTTP API.
- Creatively sketch and design new product features.
- Analyze customer usage data to improve shipped features.
What you should have¶
- Ideally 4+ years experience in technology.
- A preference for self-sufficient productivity.
- A highly organized and disciplined approach to self-improvement.
Fully distributed team¶
Parse.ly is a fully distributed team, with engineers working from across the world. People with past experience working remotely will be prioritized. US/Eastern or GMT-adjacent timezones will be prioritized.
Send a cover letter, CV/resume, and optionally links to projects or code, to the email address here: firstname.lastname@example.org. Make sure to indicate you are applying for the "Frontend Engineer" role.
Python Data Engineer¶
Parse.ly is a real-time content measurement layer for the entire web.
Our analytics platform helps digital storytellers at some of the web's best sites, such as Arstechnica, The New Yorker, The Wall Street Journal, TechCrunch, The Intercept, Mashable, and many more. In total, our analytics system handles over 65 billion monthly events from over 1 billion monthly unique visitors.
On the open source front, we maintain streamparse, the most widely used Python binding for the Apache Storm streaming data system. We also maintain pykafka, the most performant and Pythonic binding for Apache Kafka.
Our colleagues are talented: our UX/design team has also built one of the best-looking dashboards on the planet, using AngularJS and D3.js, and our infrastructure engineers have built a scalable, devops-friendly cloud environment.
As a Python Data Engineer, you will help us expand our reach into the area of petabyte-scale data analysis -- while ensuring consistent uptime, provable reliability, and top-rated performance of our backend streaming data systems.
We’re the kind of team that does “whatever it takes” to get a project done.
Parse.ly’s data engineering team already makes use of modern technologies like Python, Storm, Spark, Kafka, and Elasticsearch to analyze large datasets. As a Python Data Engineer at Parse.ly, you will be expected to master these technologies, while also being able to write code against them in Python, and debug issues down to the native C code and native JVM code layers, as necessary.
This team owns a real-time analytics infrastructure that processes over 2 million pageviews per minute from over 2,000 high-traffic sites. It operates a fleet of cloud servers that include thousands of cores of live data processing. We have written publicly about mage, our time series analytics engine. This will give you an idea about the kinds of systems we work on.
What you'll do¶
For this role, you should already be a proficient Python programmer who wants to work with data at scale.
In the role, you’ll...
- Write Python code using the best practices. See The Elements of Python Style, written by our CTO, for an example of our approach to code readability and design.
- Analyze data at massive scale. You need to be comfortable with the idea of your code running across 3,000 Python cores, thanks to process-level parallelization.
- Brainstorm new product ideas and directions with team and customers. You need to be a good communicator, especially in written form.
- Master cloud technologies and systems. You should love UNIX and be able to reason about distributed systems.
Our distributed team is best-in-class and we happily skip commutes by working out of our ergonomic home offices. Here's a photograph of our CTO's setup running two full-screen Parse.ly dashboards.
- Work from home or anywhere else in our industry-leading distributed team.
- Earn a competitive salary and benefits (health/dental/401k).
- Splurge with a generous equipment budget.
- Work with one of the brightest teams in tech.
- Speak at and attend conferences like PyData on Parse.ly's dime.
- Python for both backend and frontend -- 2.7, some systems in 3.x, and we're going full-on 3.x soon.
- Amazon Web Services used for most systems.
- Modern databases like Cassandra, ElasticSearch, Redis, and Postgres.
- Frameworks like Django, Tornado and the PyData stack (e.g. Pandas).
- Running Kafka, Storm, Spark in production atop massive data sets.
- Easy system management with Fabric and Chef.
Fully distributed team¶
Parse.ly is a fully distributed team, with engineers working from across the world. People with past experience working remotely will be prioritized. US/Eastern timezones will be prioritized.
Send a cover letter, CV/resume, and optionally links to projects or code, to email@example.com. Make sure to indicate you are applying for the "Python Data Engineer" role.
How we work
We are a team of individuals doing incredible work that contribute to the success of our company. Parse.ly’s mission is to empower others companies to do the same, because the work each employee does matters - and we use the power of data to prove it.
Parse.ly values actions over experience, innovation over tradition, results over potential, and simplicity over intricacy. We distribute our work, we communicate openly, we treat each other with respect, we value results, not effort, and we enjoy what we do.
Read more about our distributed team: