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Senior Data Engineer

San Diego, CA, United States

Digital Health Technology team powers digital experiences and engagement to enhance the lives of millions of people every day through connected care. We build, deliver and manage a portfolio of data management platforms and mobile offerings in support of our core businesses. We thrive on simple and elegant architecture and agility. You’ll be immersed in a dynamic high-growth environment and empowered to excel, take informed risks, and drive ingenuity across the enterprise.

Responsibilities:

Create, expand, optimize and maintain data and data pipeline architecture, as well as optimize data flow and collection for cross-functional teams.

Support software developers, database architects, data analysts and data scientists on data initiatives to ensure optimal data delivery architecture is consistent throughout ongoing projects.

Assemble large, complex data sets that meet functional and non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

Build 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, and others.

Work with stakeholders including Executive, Product, Data, and Design teams to assist with data-related technical issues and support data infrastructure needs.

Work on data tools for analytics and data scientist team members.

Position offered by ResMed Digital Health Inc.

100% remote position reporting to: San Diego, CA

Minimum Requirements

Master's degree or equivalent in Computer Science, Statistics, Informatics, Information Systems or a related field and

6 years of experience in Data Engineering.

Applicants must have demonstrated experience with the following:

3 years of experience in a full-cycle data engineering role;

Python coding;

building and working with AWS Data Lakes;

AWS Data Pipeline and CI/CD processes;

big data tools: Hadoop, Spark, and Kafka;.

data pipeline and workflow management tools: Airflow, and AWS Step functions;

AWS cloud services: EMR, RDS, and Redshift;

stream-processing systems: Kinesis, and Spark-Streaming; structured, semi-

structured and unstructured datasets;

building and optimizing 'big data' data pipelines, architecture and data sets;

performing root cause analysis on internal and external data and processes to answer business questions and identify opportunities for improvement;

building processes supporting data transformation, data structures, metadata, dependency, and workload management;

manipulating, processing, and extracting value from large disconnected datasets;

message queuing, stream processing, and building highly scalable 'big data' data stores; and s

upporting and working with cross-functional teams in software development.

Any and all experience can 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: $160,451 - $207,000 per year

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.

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Senior Data Engineer jobs in San Diego, CA, United States

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