Senior Data Engineer - Commercial Analytics
DexcomAbout the role
The Company
Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.
We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.
Meet the team:
We are currently looking for a Senior Data Engineer!
The commercial analytics team collaborates with various design teams, including firmware, hardware, algorithm, sensor/membrane, and mechanical engineers to quantify and model the factors that influence product performance and reliability of commercial health-sensing systems.
Where you come in:
You enjoy learning and improving in a fast-paced environment
You love to transform unstructured data into structured data that helps drive insight generation
You are a thorough person who likes to find the needle in the haystack
You enjoy the challenge of adapting and growing along with the constantly evolving medical device and technology field
You rise to the challenge of finding new ways to improve upon existing methods
You like to work in close collaboration with team partners such as product owners, project managers, designers and other team members
You enjoy building new analytic tools to quantify, visualize, and structure various data sources
You have a passion for building statistical models that improve understanding
What makes you successful:
You have advanced knowledge of architecting, designing, and developing scalable data solutions with 5+ years of experience
You have advanced knowledge of building and maintaining large-scale ETL/ELT pipelines that can handle data from various sources, structured or unstructured, with 5+ years of experience
You are proficient in various data modeling techniques and can demonstrate successful implementations in past projects
You have excellent design and development experience with SQL databases, including performance tuning and optimization
You have expertise in Python and dependency driven job schedulers
You have hands-on experience with data science and machine learning principles including the use of libraries like TensorFlow, scikit-learn, and experience in building predictive models
You have experience with cloud-based data services and solutions (e.g. AWS, Azure, Google Cloud is a plus)
You have familiarity of big data technologies such as Hadoop, Spark, or Kafka
You have an excellent collaborative approach to work with various stakeholders and strong communication skills to convey sophisticated technical concepts to non-technical audiences
You have exceptional time management skills and can deliver high-quality results with tight schedules
What you’ll get:
A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community.
A full and comprehensive benefits program.
Growth opportunities on a global scale.
Access to career development through in-house learning programs and/or qualified tuition reimbursement.
An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.
Experience and Education:
Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 5-8 years related exp
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