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Data Engineer

Company: Elemental Machines
Location: Boston
Posted on: May 16, 2022

Job Description:

About the role:
Elemental Machines is looking for a seasoned Senior Data Engineer to contribute to data science and devops projects for Elemental's Data Science and Analytics team. As a Senior Data Engineer on this team, you are writing code and tests, reviewing code, designing and documenting your architectural choices, contributing to technical leadership, and working closely with other engineering teams and the customer success team to ensure seamless integration of your work with the rest of our system and to advance EM's business goals.
Your primary focus will be on maintaining and enhancing our Analytics Engine and Data Ingestion infrastructure. These two components are mission critical to our business as we grow and continue to expand our product offerings. Each offers a great opportunity to implement new technology solutions and integrate third-party services to solve business and technical challenges.
A successful candidate must be creative, willing to innovate, and possess interest and aptitude to succeed in a startup environment. You must be able to work independently, understand the needs of the business, proactively reprioritize as needs change, remain flexible and work as a member of a team, and strive for personal growth in line with company goals. You are comfortable with learning about and contributing to all things data including data ingestion, relational databases, time series databases, and analytics services like dataflow and cloud functions.
A bachelor's degree in computer science is required, with a strong working knowledge of Python and 5+ years experience in data processing pipeline development and testing required.
This position offers an excellent opportunity for professional growth in areas of near real-time data processing and analytics of IoT data streams. You will be instrumental in architecting the system to progress it forward and meet growing needs of business.
Responsibilities:

  • Evaluate business needs and objectives
  • Scope, estimate, manage and deliver coding projects in line with deliverable schedule
  • Work closely with Machine Learning Engineers to deploy novel machine learning models and algorithms
  • Prepare data for prescriptive and predictive modeling
  • Identify opportunities for data acquisition
  • Optimize and maintain existing data processing pipelines including IoT ingestion and near real-time analytics to meet exponentially increasing demand
  • Work cross functionally with data science and software teams to develop data processing pipelines to deliver data products at scale
    Requirements:
    • 5+ years experience as a data engineer or in a similar role
    • Knowledge of programming languages (e.g. Java and Python)
    • Hands-on experience with relational and time series database design
    • Great numerical and analytical skills
    • Degree in Computer Science, IT, or similar field; a Master's is a plus
    • Data engineering certification (e.g IBM Certified Data Engineer) is a plus
    • Minimum of 1 year of designing and building production IoT data pipelines from data ingestion to consumption within a hybrid architecture
    • Experience with data architecture, data modeling, schema design and software development
    • Experience with (or desire to work with) Google Cloud Platform managed services such as Dataflow, Cloud Functions, etc
      The Culture:
      Elemental Machines is a startup company based in Cambridge, MA, and we love it here! Being right next to some of the most innovative companies in the IoT and BioTech industries gives us drive and passion to pursue our own big goals, while enabling other companies to pursue theirs.
      We are committed to delivering on our promise to our customers: accelerate how they get science done. This commitment touches every level of our culture, because we are excited every day to stretch our creativity in balancing the needs of our customers with the resources at our disposal, and to thoughtfully interact with our peers to keep our mission on track.
      About us:
      Today's research, clinical, and quality control labs are expected to discover and produce at a pace once considered unimaginable. Now, to lead is to be led by data. The Elemental Machines platform elevates LabOps teams to lead data-driven discovery, development, and delivery by simplifying the connection between physical and digital worlds. The result is a lab united by a universal cloud-connected dashboard and operations, informed by monitoring of every asset and environment, both in real-time and over time. Why? The standards established by operations determine the pace of output and discovery organization-wide.
      Excellence in LabOps is a connection away.
      What do we do?
      We elevate LabOps teams to lead data-driven discovery, development, and delivery.
      How do we do it?
      We simplify the connection between the physical and digital worlds.
      Why do we do it?
      Optimizing the operations of research, clinical, and quality control labs has an exponential impact.

Keywords: Elemental Machines, Boston , Data Engineer, Engineering , Boston, Massachusetts

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