Data Platform Engineer

We are obsessed with the hero's journey at JobNimbus. Every person has a hero's journey. Hermione Granger, James T. Kirk, Frodo Baggins, Anna & Elsa, Nacho Libre, and even YOU!  This is our “call to adventure” to come check out JobNimbus.  What do you have to lose?  You might make a few new friends, learn about a sick new company doing some amazing things, and maybe you’ll even land a new job!

Mission:

Contribute to the design and building out of JobNimbus data architecture and pipelines.
 

What you’ll be doing:

• Be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
• The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
• Support our software developers, architects, data analysts and BI team on data initiatives to ensure an optimal data delivery architecture that is consistent throughout ongoing projects.
• Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
• The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

What makes you the hero for this job:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing  data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• 5+ years  in a Data Engineer role with a primary focus on building and scaling data pipelines in AWS.
  • Experience with big data tools: Athena, Glue, Kafka, etc.
  • Experience with relational SQL and NoSQL databases: Couchbase, PostgreSQL, MySQL
  • Experience with data pipeline and workflow management tools 
  • Experience with AWS cloud services: S3, Glue, Athena, RDS, etc
  • Experience with stream-processing systems: Kafka, etc.
  • Experience with data related programming language with a preference towards Python.
• Bachelor degree in CS, IT, IS or equivalent experience.

Superpowers:

Ownership. We need someone who embodies this value and can figure things out and move quickly. If you need direction and someone to hold your hand, this job is not for you.

Customer Obsessed. Our software is ever changing, and you'll need to stay on top of the latest and greatest adjustments. It's kind of like being obsessed with Oprah's book club and that feeling that you have to read the next one as soon as it comes out.  

Mentor (Hit us up to get more information)

Nick Cook -  Specialist in hiring amazing people, lover of all things outdoors, computer nerd, and lead substitute on his friends hockey team.

JobNimbus is proud to be an equal opportunity / affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, Veteran status, or other legally protected characteristics. This position may require the successful completion of a criminal background check and/or drug screen. If you have a disability or special need that requires accommodation, please let us know in the application.

If you have any questions regarding this job post, please email [email protected].