jasonmotylinski
jasonmotylinski on Hacker News
As for the people culture, Spotify values the growth of employees. We focus heavily on personal growth over product delivery. We believe if we build good people they will build good products. I was doubtful before joining Spotify that they would fulfill everything I was told (about the culture) during the interview process but everything has held true.
For better descriptions of Spotify check out the engineering culture video: https://labs.spotify.com/2014/03/27/spotify-engineering-cult...
I would encourage you to apply. Spotify is a great place to work.
Join one the fastest growing disciplines at Spotify! We are looking to hire Data Engineers to help derive knowledge and insights from large volumes of behavioral data. Good candidates will have a natural curiosity to explore data, experience using Hadoop or Spark, and love creating products which help drive critical business decisions.
Data Engineers at Spotify: Develop data pipelines using Scala Work with Google Cloud, Dataflow, and BigQuery Partner with Product Owners and Data Scientists to build new products
Apply for Data Engineering today! https://goo.gl/H6F6Jg
Join one the fastest growing disciplines at Spotify! We are looking to hire Data Engineers to help derive knowledge and insights from large volumes of behavioral data. Good candidates will have a natural curiosity to explore data, experience using Hadoop or Spark, and love creating products which help drive critical business decisions.
Data Engineers at Spotify: Develop data pipelines using Scala Work with Google Cloud, Dataflow, and BigQuery Partner with Product Owners and Data Scientists to build new products
Apply for Data Engineering today! https://goo.gl/H6F6Jg
Spotify built a scheduler system named Styx that handles orchestration (https://github.com/spotify/styx) but it's fairly beta for external use.
Join one the fastest growing disciplines at Spotify! We are looking to hire Data Engineers to help derive knowledge and insights from large volumes of behavioral data. Good candidates will have a natural curiosity to explore data, experience using Hadoop or Spark, and love creating products which help drive critical business decisions.
Data Engineers at Spotify: Develop data pipelines using Scala Work with Google Cloud, Dataflow, and BigQuery Partner with Product Owners and Data Scientists to build new products
Apply for Data Engineering today! https://goo.gl/H6F6Jg
I was caught a bit off-guard when the interview pivoted towards inclusion and diversity. I stumbled through some questions which, in hindsight, were geared around determining if I was a "brogrammer". The questions were very open-ended like: "How do you deal with diversity?" and "How do you accommodate other's working styles?"
Speaking with HR after the interview the company their definition of "cultural fit" was much broader than just work or programming style. The company is extremely interested in building a talent pool that is diverse in all ways (age, gender, ethnicity, etc...) and viewed the engineering practices as something that can be taught.
Their belief, if you invest in good people who like their jobs then they will build good products. And if those products are good then the company will make money.
Dow Jones is building out a new, big data solution for it's B2B business which allows customers to query and extract content from over 9000 sources. The product is in it's early alpha phase, gathering feedback from early adopters.
As a data engineer you will help build and manage the cloud-based solution. You will use the latest big data tools like Spark, Google BigQuery, and Google Dataflow. You will have the opportunity to work in both Google Cloud and AWS.
The Data Engineering team is small and expanding quickly. You will make an immediate impact to growth and adoption of the new product, working directly with customers to understand their use cases and partnering with the team to build new features which grow the product.
If you're interested, apply online here: http://dowjones.jobs/minneapolis-mn/data-engineer-ii/DFE1209...
Interested in big data and real-time analytics? Dow Jones is building out a team in Minneapolis to support a new initiative to analyze real-time user pattern data. The team is in its infancy and looking to add a smart, self-motivated individual who enjoys working in a variety of programming languages.
The job requires a solid understanding of object-oriented programming, experience with one or more of the following languages: .Net/Java/Python, and the ability to develop simple and small solutions and iteratively evolve them. The current implementation has been deployed into the AWS cloud and which requires the willingness to get involved in DevOps.
If I haven't scared you away yet, please check out the official job posting here: http://rfer.us/DJRjSP1e9
Minnesota-based candidates only please. Relocation or remote working is not available for this position.
If you have any questions please feel free to reach out to me.
Jason Motylinski [email protected]
We are a 40+ developer group working in downtown St. Paul, MN to deliver market data to customers. The larger team produces an easy to consume REST/SOAP API for customers to interface/integrate with.
The primary focus for this position is enhancing and maintaining a web-based document workflow and permissioning management system. The application manages the creation and approval of contracts for customers to gain access to the API. The system also integrates with other internal applications via queuing and OData APIs.
We are a small team of 2 looking to add a highly motivated engineer. We work in a rapid delivery product cycle. The idea person would love the latest web technologies and able to pragmatically apply them to our application.
Our technology stack is: ASP .NET MVC4 jQuery/Knockout/CoffeeScript OData ZeroMQ AutoFac
I am the hiring manager so feel free to contact me with any questions about the position: jason[dot]motylinski[at]thomsonreuters[dot]com
Official job posting: http://jobs.thomsonreuters.com/job/Senior-Software-Engineer-...