Senior Data Engineer

Company:
Location: Remote

*** Mention DataYoshi when applying ***

About Very

Very is a fully-distributed IoT engineering firm, partnering with our clients to build systems for smart manufacturing, smart energy & utilities, consumer electronics, and connected wellness. We do not have a physical office, and you can work from anywhere in the continental United States. Your home, a co-working space, or on the road. If you feel like moving, you don’t have to change jobs.

We provide world-class technical services through multi-disciplinary teams that deliver IoT solutions in an agile manner. Team members here build deep connections with each other through a shared focus of achieving our project goals, along with dedication to continuous improvement of themselves and their teams. Building a team that can deliver and grow in this way presents unique challenges, and this is reflected in our unique approaches to talent-development and technical delivery. You can find out more regarding how we think about these problems at verypossible.com

About This Role

As a Data Engineer, you will be working across multiple technologies developing data centric-solutions. This requires an interest in API engineering, machine learning pipelines, DevOps, SQL and NoSQL databases, cloud infrastructure and everything in between. We value well-tested, reusable code and expect our engineers and data scientists to be as good of practitioners as they are leaders and teachers.
In this role, you will work with tools and technologies that include:

  • Python:Flask,Django,SciKit-Learn,Pandas
  • Cloud Providers managed with Terraform and/or Serverless Framework:
  • AWS
  • GCP
  • Azure
  • Containerization and scaling of applications leveraging the following runtimes:
  • Elixir: Phoenix, Broadway
  • Ruby: Rails
  • Python: Django, Flask, ML Applications
  • Database management (schema/query design and performance optimization):
  • SQL: Postgres / MySQL and similar cloud provider variants.
  • NoSQL: Cassandra / Mongo and similar cloud provider variants.
  • Time Series: InfluxDB and similar cloud provider variants.
  • Graph: Neo4j and similar cloud provider variants.

Engineers who apply for this job should be excellent practitioners at Python and DevOps, along with an interest and willingness to become proficient with Elixir. Other “big data” experience (Apache big data stack, time series databases, etc) is a big plus.

What You’ll Be Working On

We dedicate each engineer to a single project in order to promote focus, and minimize context switching. You will be placed on one of our data-intensive projects, which typically involve large volumes of streaming IoT data. Within this project team, you can expect to work with web applications engineers, data scientists, UI/UX designers, firmware engineers, and hardware engineers.

You’ll spend the majority of your time working on such projects for our clients, and the remainder of your time can be spent improving Very. These internal contributions often include working on open source projects, building internal products, improving your craft, educating others, and more.

How You’ll Be Compensated

We believe in a transparent, fair compensation structure and have developed our own open salary formula. Depending on your skill and experience, you can expect your base compensation to be somewhere between $115,000 and $140,000 upon joining the company. We also offer performance bonuses, a generous maternity/paternity leave policy, 401K matching, and numerous other employee benefits.

*** Mention DataYoshi when applying ***

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