Data Engineer

ResMed has always applied the best of technology to improve people's lives. Now our SaaS technology is fueling a new era in the healthcare industry, with dynamic systems that change the way people receive care in settings outside of the hospital–and tools that work every day to help people stay well, longer. We have one of the largest actionable datasets in the industry, creating a complete view of people as they move between care settings. This is how we empower providers–with vital insight to deliver the care people need, right when they need it. We're also ensuring that our health solutions connect to other companies' networks. Because when objectives align, everyone wins. And as we work today to drive better care and lower costs, we're developing more personalized solutions for tomorrow, utilizing machine learning, intelligent care paths, and predictive protocols. If you are an innovator who wants to make an impact we want to talk to you! We have exciting opportunities supporting Brightree by ResMed and MatrixCare by ResMed! We are looking for a savvy Data Engineer to join our growing team of platform experts. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The goal is to support our software developers, database architects, data analysts and data scientists on data initiatives to ensure optimal data delivery architecture is consistent throughout ongoing projects. You are self-directed and comfortable supporting the needs of multiple teams, systems and products. You are excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. You are a team player who lifts the entire team through collaboration, mentoring and sharing your experience Location - Open for "Remote" across US Let's talk about the role Create and maintain optimal data pipeline architecture Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and AWS ‘big data’ technologies like Glue, Lambda, EMR etc Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs Keep our data separated and secure across national boundaries through multiple data centers and AWS regions Work on data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems Let's talk about you Must have previous experience creating/running Python Excellent Python coding knowledge or Pyspark jobs working within AWS Glue You will have 4 years of total experience in a full cycle Data Engineer role, who has attained a graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field or equivalent working experience Experience building and working with AWS Data Lakes Experience working on GitHUB CI/CD processes You will also be strong in Experience with big data tools: Snowflake, Hadoop, Spark, Kafka, etc Experience with data pipeline and workflow management tools: Luigi, Airflow, AWS Step etc Experience with AWS cloud services: EMR, RDS, Redshift Experience with DBT \ Coalesce or other ELT tools Experience with stream-processing systems: Kinesis, Spark-Streaming, etc Experience with Docker Containers and Kubernetes Familiarity with a variety of datasets, structured, semi structured and unstructured etc Experience building and optimizing ‘big data’ data pipelines, architecture and data sets Nice to have Experience with MS SQL Stack and SSIS Strong analytic skills related to working with unstructured datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores Experience supporting and working with cross-functional teams in a dynamic environment #LI #LI-DG1 Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! At ResMed (NYSE: RMD, ASX: RMD) we pioneer innovative solutions that treat and keep people out of the hospital, empowering them to live healthier, higher-quality lives. Our digital health technologies and cloud-connected medical devices transform care for people with sleep apnea, COPD and other chronic diseases. Our comprehensive out-of-hospital software platforms support the professionals and caregivers who help people stay healthy in the home or care setting of their choice. By enabling better care, we improve quality of life, reduce the impact of chronic disease and lower costs for consumers and healthcare systems in more than 140 countries. To learn more, visit ResMed.com and follow @ResMed. ResMed Corporation is an equal opportunity employer and provides equal opportunity in employment for all qualified persons, without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. (US/Canada only) ResMed is an equal opportunity/affirmative action employer. ResMed is an E-Verify Employer. ResMed is a smoke-free workplace. We are a 2023 Circle Back Initiative Employer – we commit to respond to every applicant!