Medtronic
Healthcare
ITDeveloper-DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“IT Developer - Data Engineer at Medtronic. Skills: Data Engineering, Databricks, Snowflake, Python. Design ETL/ELT pipelines. Develop ETL/ELT pipelines”
Industry & Context.
Analytical skills; Debugging skills; Problem-solving skills; Troubleshoot production issues
What They're Looking For.
Must Have
3+ years of IT experience, Bachelor's degree in Engineering, MCA, or MSc, Databricks experience, Snowflake experience, Python Programming experience, SQL experience, Data Modeling experience, Experience building ETL/ELT pipelines, Experience building enterprise data workflows, Good understanding of distributed data processing, Good understanding of performance optimization, Familiarity with workflow orchestration, Familiarity with scheduling concepts, Knowledge of APIs, Knowledge of automation frameworks, Knowledge of integration patterns, Understanding of cloud-based data engineering architectures, Analytical skills, Debugging skills, Problem-solving skills, Ability to work effectively in collaborative Agile teams, Ability to manage multiple priorities, Experience with AI agents, Experience with intelligent orchestration, Experience with automation frameworks
Nice to Have
Experience working in enterprise healthcare environments, Experience working in regulated environments, Exposure to Apache Spark / PySpark, Familiarity with CI/CD, Familiarity with DevOps practices
What You'll Do.
Design ETL/ELT pipelines
Develop ETL/ELT pipelines
Maintain ETL/ELT pipelines
Design enterprise data workflows
Develop enterprise data workflows
Maintain enterprise data workflows
Optimize data solutions
Develop Python automation
Develop integration solutions
Develop data processing solutions
Work with structured data
Work with semi-structured data
Work with enterprise systems
Implement workflow orchestration
Implement dependency management
Implement monitoring solutions
Support real-time data processing
Support batch data processing
Collaborate with analytics teams
Collaborate with AI/ML teams
Collaborate with reporting teams
Enable data-driven decision-making
Ensure data governance
Ensure performance optimization
Troubleshoot production issues
Improve system reliability
Improve system scalability
Participate in architecture discussions
Participate in code reviews
Participate in continuous improvement initiatives
Contribute to innovation initiatives
Contribute to AI agent innovation
Contribute to intelligent automation innovation
Contribute to modern data platform innovation
How You'll Work.
Team & Collaboration
Collaborative Agile teams; Cross-functional teams
Communication Scope
Communication abilities
Process & Methodology
Agile teams
Full Job Description
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** Results-driven Data Engineer with strong expertise in Databricks, Snowflake, Python development, and modern data engineering practices. Skilled in designing scalable ETL/ELT pipelines, workflow orchestration, data transformation, and cloud-based analytics solutions. Experienced in working with intelligent agents, automation frameworks, and data-driven architectures to support enterprise analytics and AI initiatives. Strong knowledge of SQL, distributed data processing, and performance optimization with the ability to collaborate across cross-functional teams to deliver reliable and efficient data solutions. **Responsibilities may include the following and other duties may be assigned.** * Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data workflows. * Build and optimize data solutions using Databricks and Snowflake. * Develop Python-based automation, integration, and data processing solutions. * Work with structured and semi-structured data from multiple enterprise systems and APIs. * Implement workflow orchestration, scheduling, dependency management, and monitoring solutions. * Support real-time and batch data processing use cases. * Collaborate with analytics, AI/ML, and reporting teams to enable data-driven decision-making. * Ensure data quality, governance, security, and performance optimization across platforms. * Troubleshoot production issues and improve system reliability and scalability. * Participate in architecture discussions, code reviews, and continuous improvement initiatives. * Contribute to innovation initiatives involving AI agents, intelligent automation, and modern data platforms. **Required Knowledge and Experience:** * 3+ years of IT experience with a ba
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