We anticipate the application window for this opening will close on - 3 Dec 2024

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life
Do you have passion to transform organizations from data driven to value driven? Would you like to work in an environment where your technical abilities will be challenged on every project? If so, you will be a great addition to Medtronic Diabetes Data and Analytics team .We are seeking a Principal Data Engineer - data engineering to build high quality, scalable and resilient distributed systems that power Medtronic Diabetes analytics platform and data pipelines.

As a Principal Data Engineer - data engineering, you will be a hands-on data engineer, you will design and deliver scalable and high-performance data warehouse and lakehouse solutions using Databricks on AWS, leveraging best practices in data engineering, cloud-native technologies, and modern data architectures to drive impactful business outcomes.

Our mission drives the need to be a highly skilled, flexible, extremely efficient, versatile, and agile in software product development for the benefit of our patients with Type 1 and Type 2 diabetes in need of intensive insulin therapy.

Diabetes impacts over 500 million people around the world - that's roughly one in 10 adults. That means you probably know someone affected by this disease. At Medtronic, our Diabetes Operating Unit focuses on improving the lives of those within the global diabetes community. As a business, we strive to empower people with diabetes to live life on their terms by delivering innovation that truly matters and providing support in the ways they need it. We're committed to meeting people with diabetes where they are in their journey, always with an aim to make their lives easier. Our portfolio of innovative solutions is designed to provide customers greater freedom and better health, helping them achieve better glucose control, while spending less time managing their disease.

*This position is onsite in Duluth, GA (Hybrid/3 days per week)
Responsibilities may include the following and other duties may be assigned.

• Build, schedule, and manage data movement from application origin through batch and streaming systems to make it available for key business decisions.

• Ensure data products are aligned with the rapidly evolving needs of business.

• Architect and implement efficient, analytics ready data models by transforming raw data from transactional systems (like SAP, workday, Salesforce) into performant, scalable schemas that meet analytic needs.

• Utilize programming languages like Scala, Python and Open-Source RDBMS and NoSQL and Graph databases and Cloud based lake house services such as Databricks.

• Design and build highly scalable data pipelines using Spark, Kafka to ingest data from various systems.

• Graph algorithms: implement and tune graph algorithms like shortest path, centrality and community detection to extract meaningful insight from data.

• Perform data analysis to identify trends, patterns, and insights that support business objectives , leveraging graph data queries.

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.

Must Have Requirements:

• minimum of 7 years of IT experience with bachelor's in science, engineering or technical field


• or, 5 years of data engineering experience with advanced/master's degree

Hands-on Role Requirement:

• 5 years of hands-on experience in designing Spark pipeline with Scala or Python : t his is a hands-on role

• 3+ years in designing Airflow pipelines and deployment in Prod

• 1+ year in managing SAAS based Privacy tools

• 3+ years of experience in designing CI/CD pipelines either GitLab CI or GitHub actions and Databricks Asset Bundles.

• Proven expertise (Minimum 3 years) in designing and implementing analytics-ready data models, including dimensional and normalized schemas, with a focus on transforming raw data from complex systems (e.g., ERP platforms) into scalable, performant, and business-driven structures.

• 3+ years of experience implementing robust data observability solutions to monitor, alert, and troubleshoot data pipeline issues, ensuring data quality and reliability.

• 3+ years of experience in deploying data governance practices, including metadata management, lineage tracking, and compliance with privacy regulations (e.g., GDPR, CCPA).

• Proficiency in optimizing cloud-based data infrastructure, focusing on cost efficiency and high performance through best practices in partitioning and indexing .

• 4+ years hands on experience with AWS Services such as S3, RDS, EC2, Lambda, SNS, SQS, Glue, Redshift, Kinesis, DocumentDB , NeptuneDB , MSK, CloudWatch.

• 3+ years hands on experience working with Databricks, including Delta Lake, spark, and MLflow .

• 3+ Years' experience in processing Parquet, Avro or Iceberg file formats.

• 4+ years of experience with version control repository.

• 3+ years of experience with UNIX/Linux basic commands and shell scripting.

• Experience designing and implementing different data warehousing technologies and approaches, such as RDBMS and NoSQL, Kimball vs. Inmon , etc. and how to apply them.

• Implementation experience of Databricks unified analytics platform is a big plus.

• 1+ year experience working with data science team to deploy ML models.

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.

The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.

Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

Salary ranges for U.S (excl. PR) locations (USD):$127,200.00 - $190,800.00

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others).

Medtronic benefits and compensation plans

About Medtronic

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 90,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

Learn more about our business, mission, and our commitment to diversity here .

It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.