Data Engineer

Posted 3 Days Ago
San Diego, CA, USA
In-Office
181K-200K Annually
Senior level
Healthtech
The Role
Design, build, and maintain scalable data models, pipelines, and platform components across regions. Extract, transform, and load large datasets using SQL, Spark and AWS services. Document data architecture and catalogue, collaborate with stakeholders and test engineers, and support data access, integrations, and data-quality practices.
Summary Generated by Built In

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.

The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.

Responsibilities:

Define, model, validate and provide accessibility of data for stakeholders in the Americas, Asia Pacific and EU. Share ownership of data platform, from ingress through transformation and access/integration in these regions. Work with various teams to define and document data architecture across integrated Enterprise Systems. Design and document data model that supports Enterprise Systems and Analytics. Assemble large, complex data that meet functional and non-functional business requirements. Use infrastructure and services required for optimal extraction, transformation, and loading of data from variety of data sources using SQL and AWS services. Contribute to documentation and maintenance of data catalogue. Design, implement and maintain data pipeline integrations and solutions, incorporating highly scalable cloud computing and large-scale data stores including data lakes, data warehouses, and data marts. Work collaboratively with Test Engineers to ensure high standard of quality at all levels, ranging from operational efficiency of ETL to accuracy of data. Bring best-practice experience to proactively and continuously build data-related practices within team. Contribute to scalability of both data infrastructure and team processes, standards, and workflow. Work with stakeholders to assist with data related technical issues and support data requirement needs.

Position offered by ResMed Digital Health Inc.

100% remote, reporting to: San Diego, CA

Minimum Requirements        

Bachelor’s degree or equivalent in Computer Science, Computer Engineering or related field of study and 5 years of progressive experience in Data Engineering. Employer will accept a Master’s degree or equivalent in Computer Science, Computer Engineering or related field of study and 1 year of experience in Data Engineering in lieu of a Bachelor’s degree or equivalent and 5 years of progressive experience.

Applicants must have demonstrated experience with the following:

  • 3 years (1 year with a Master’s degree) of experience working on Enterprise Systems;
  • data architecture;
  • working with structured and semi-structured data architectures;
  • SQL, working with relational databases, query authoring (SQL) and working with a variety of databases;
  • manipulating, processing and extracting value from large (petabyte size), disconnected datasets;
  • developing scalable ETLs and data processes;
  • Snowflake;
  • Oracle EBS databases;
  • Spark, Scala, Kafka, Elasticsearch and Python;
  • AWS cloud services, including S3, DMS, EC2, RDS, Lambda, IAM, SQS and SNS;
  • Terraform, Airflow and Job Scheduler; and
  • shell scripts.

Any and all experience may be gained concurrently.

We are shaping the future at ResMed, and we recognize the need to build on and broaden our existing skills and continue to attract and retain the world’s best talent. We work hard to offer holistic benefits packages, provide flexible work arrangements, cultivate a workforce culture that allows employees to grow personally and professionally, and deliver competitive salaries to our team members. Employees scheduled to work 30 or more hours per week are eligible for benefits. This position qualifies for the following benefits package:  comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), and tuition assistance. Employees accrue three weeks Paid Time Off (PTO) in their first year of employment, receive 11 paid holidays plus 3 floating days and are eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members. Individual pay decisions are based on a variety of factors, such as the candidate’s geographic work location, relevant qualifications, work experience, and skills.  

Base Pay Range for this position: $180,502 - $200,000 per year

#I-DNI

#LI-DNI

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! We commit to respond to every applicant.

 

Skills Required

  • Bachelor's degree in Computer Science, Computer Engineering or related field (or Master's + 1 year experience in lieu)
  • 5 years progressive experience in Data Engineering
  • 3 years (1 year with Master's) experience working on Enterprise Systems
  • Experience with data architecture and designing data models for enterprise systems and analytics
  • Experience with structured and semi-structured data architectures
  • Proficiency with SQL, relational databases, and query authoring
  • Experience manipulating, processing, and extracting value from very large (petabyte-scale) disconnected datasets
  • Experience developing scalable ETLs and data processes
  • Experience with Snowflake
  • Experience with Oracle EBS databases
  • Experience with Spark and Scala
  • Experience with Kafka
  • Experience with Elasticsearch
  • Proficiency in Python
  • Experience with AWS services (S3, DMS, EC2, RDS, Lambda, IAM, SQS, SNS)
  • Experience with Terraform
  • Experience with Airflow and Job Scheduler
  • Ability to write and maintain shell scripts

ResMed Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ResMed and has not been reviewed or approved by ResMed.

  • Strong & Reliable Incentives Bonuses are considered a meaningful component of total compensation and are paid regularly. Annual payouts and performance incentives are frequently highlighted alongside base pay.
  • Healthcare Strength Health coverage is described as comprehensive, including medical, dental, and vision plans that are viewed favorably. Wellbeing resources and flexibility around care reinforce the overall strength of the offering.
  • Equity Value & Accessibility An employee stock purchase plan is broadly available and regarded as a valuable ownership benefit. Equity elements are positioned as accessible parts of total rewards across many roles.

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The Company
HQ: San Diego, CA
5,300 Employees
Year Founded: 1989

What We Do

ResMed provides medical equipment for treating, diagnosing, and managing sleep-disordered breathing and other respiratory disorders.

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