Full Cycle Bioplastics is on a mission to create a cleaner, more sustainable future. At the moment, we are small but mighty.  Our tech helps solve the plastic pollution crisis by transforming waste into compostable materials. We’re scaling our solution to significantly decrease plastic waste and greenhouse gas emissions. We've experienced massive growth over the last year, tripling in size, with more on the way!

As we continue to grow at Full Cycle, we're looking to hire a someone focused on data systems strategy and architecture. This includes industrial and lab data systems, as well as interfacing with commercial and business data systems. You'll focus on building and maintaining technical data systems, and leveraging them to drive technical and business decisions that move our company forward.
 
On the day to day you'll: 
  • Architect technical data systems for a fast-growing biotech company with global manufacturing and research sites
  • Work with commercial, business, and executive teams to make data-driven decisions that support the organization
  • Find and manage vendors to support global data operations
  • Deploy and oversee administration of long-term data warehousing
  • Manage ETL data pipelines with high-dimensional data from disparate sources
  • Implement data capture systems for a wide range of input types, including industrial real-time sensors, batch data outputs from lab instruments, and form input from users
  • Implement data query and live dashboard reporting tools for technicians and managers, leveraging both off-the-shelf and generic web app development tools
  • Interface with users of data systems regularly to ensure data input process is efficient and accurate, and data reporting is meeting the needs of the organization
  • Build appropriate DevOps tools, and foster a culture of good technical documentation and modular development
We'd like to see your experience show:
  • BS in Engineering field, with 10+ years industry experience (or equivalent combination of education and experience)
  • Strong background in enterprise data systems, including SQL databases and ETL workflows
  • Proven experience managing large data pipelines scalably
  • Experience with industrial automation engineering, with an emphasis on SCADA systems
  • Understanding of Web API architectures, and Model-View-Controller web app patterns
  • Familiarity with and interest in biotech/chemical processes
  • Fluency in Python, Go, or similar high-level programming language
  • Proficiency in Pandas, R, F#, or similar data programming tools. Bonus if familiar with machine learning frameworks
  • Nice-to-have: Proficiency in frontend languages, like Javascript, HTML, and/or CSS
  • Track record of successful project management
  • People skills - a strong people manager who can help grow the team, and comfort in interfacing with and managing external vendors and consultants
  • Ability to do some work-related travel to our startup sites.

We offer our employees a range of benefits including participation in our stock option program, volunteer time off, unlimited PTO, commuter benefits and 100% cost coverage for an employees medical, dental, and vision insurance.  We are also committed to finding a supporting the best candidates out there and can offer to pursue sponsorship for someone who would require it.

Full Cycle is an Equal Employment Opportunity Employer. We are committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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