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Remote Senior Data Engineer - SQL, JavaScript/R, AWS - Worldwide

About NutriSense

If you are a Senior Data Engineer with experience, please read on!


NutriSense is a 100% remote health-tech startup on a mission to optimize metabolic health and prevent chronic diseases through personalized nutrition for All. Our mobile application leverages continuous glucose monitoring (CGM) with access to virtual support from registered dieticians so that everyone, not just diabetics, can learn about their unique food responses, understand their glucose biomarkers, and reach health goals that lead to an optimized life.


We are VC-backed and tech-forward. Over the last 12 months we have experienced a 6x increase in revenue, currently experiencing 10% MoM increase in new customers. Our customers range from the ultra-healthy trying to take their life to new levels to the diabetic trying to manage their disease. Our platform focuses on bringing customized solutions for your metabolic health in the palm of your hands.


If you are a Senior Data Engineer interested in joining a mission-driven tech startup that is disrupting the health industry and cares about creating a dynamic and gamified working environment for its employees, apply immediately!

  • In This Role You Will Be:

    • Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS “big data” technologies

    • Designing, developing, and owning data pipelines and models that will power the internal analytics used for product and business teams

    • Leading project within the operations team to identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, upgrading systems, re-designing infrastructure for greater scalability in the efforts to speed up business growth

    • Removing roadblocks, like old systems and old thinking, so that the organization as a whole can keep running at full speed

    • Identifying data needs for business and product teams by deeply understanding their specific requirements for data usage, like metrics and analysis, and building efficient and scalable solutions to enable effective data-driven decision making

    • Collaborating in a cross-functional distributed team environment where your self-starting, natural desire to learn personality will thrive

    To Thrive In This Role You Will Need:

    • BS in CS, or equivalent degree

    • 3+ years experience with:

      • Advanced working knowledge of SQL and experience working with relational databases, query authoring (SQL), and familiarity with a variety of databases

      • Proficient with programming languages JavaScript or Ruby

      • Prior experience building and optimizing AWS “big data” technology pipelines, architectures, and data sets

      • Prior experience answering specific business questions and identify opportunities for improvement by performing root cause analysis on internal and external data and processes

    • Excellent communication and organizational skills

    Preferred Qualifications:

    • MS or PhD in CS, Data Science, or equivalent field

    • Strong analytical skills related to working with unstructured datasets

    • Driven to make a lasting impact on a startup organization

    Total Compensation Package For This Role Includes:

    • Gamified Compensation - Your Choice of Competitive Base Salary + Equity Options

    • 100% Remote Environment

    • Excellent Health Benefits - Medical, Dental, Vision

    • Unlimited PTO - 1-week Minimum!

    • Work From Home Reimbursement

    • Health & Fitness Reimbursement

    • NutriSense Discounts

    • And Much Much More!

    So, if you are a Senior Data Engineer with experience, apply today!

What this application asks

recruitee

Full name, Email, CV, Cover letter, Phone, Photo

  • Please describe your experience building big data pipelines. How did you maintain data integrity at all times? When pipelines push data into different databases and warehouses, what steps do you take to ensure there is no data duplication? written answer

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