We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.

Are you ready to apply your technical expertise to make a real impact in the medical field and help improve the lives of people with diabetes? This role offers the opportunity to lead cloud-based big data engineering efforts, including data wrangling, analysis, and pipeline development. You’ll help define and implement the organization’s Big Data strategy, working closely with data engineers, analysts, and scientists to solve complex business problems using data science and machine learning.

As a senior member of the Data Engineering & Analytics team, you’ll build scalable data solutions that uncover insights across customer behavior, product performance, and operations. You’ll work in a distributed team environment using modern technologies like Databricks, Redshift, S3, Lambda, DynamoDB, Spark, and Python. The ideal candidate is passionate about software engineering, thrives in fast-paced environments, and brings versatility, curiosity, and a collaborative spirit to the team.

What You’ll Work On

• Design and implement data pipelines to be processed and visualized across a variety of projects and initiatives

• Develop and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services.

• Design and optimize data models on AWS Cloud using Databricks and AWS data stores such as Redshift, RDS, S3

• Integrate and assemble large, complex data sets that meet a broad range of business requirements

• Read, extract, transform, stage and load data to selected tools and frameworks as required and requested

• Customizing and managing integration tools, databases, warehouses, and analytical systems

• Process unstructured data into a form suitable for analysis and assist in analysis of the processed data

• Working directly with the technology and engineering teams to integrate data processing and business objectives

• Monitoring and optimizing data performance, uptime, and scale; Maintaining high standards of code quality and thoughtful design

• Create software architecture and design documentation for the supported solutions and overall best practices and patterns

• Support team with technical planning, design, and code reviews including peer code reviews

• Provide Architecture and Technical Knowledge training and support for the solution groups

• Develop good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QA.

• Stay current with emerging trends, making recommendations as needed to help the organization innovate

Qualifications

• Bachelors Degree in Computer Science, Information Technology or other relevant field

• At least 2 to 6 years of recent experience in Software Engineering, Data Engineering or Big Data

• Ability to work effectively within a team in a fast-paced changing environment

• Knowledge of or direct experience with Databricks and/or Spark.

• Software development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectives.

• Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources

• Knowledge of data cleaning, wrangling, visualization and reporting

• Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience

• Familiarity of databases, BI applications, data quality and performance tuning

• Excellent written, verbal and listening communication skills

• Comfortable working asynchronously with a distributed team
   

Preferred

• Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Glue, and Lambda.

• Experience working in an agile environment

• Practical Knowledge of Linux    

The base pay for this position is $78,000.00 – $156,000.00. In specific locations, the pay range may vary from the range posted.