Principal, Data Engineer

As a Principal Data Engineer at MedeAnalytics, you will play a crucial role in developing and overseeing the company's data product build and operations. Your responsibilities will include building data pipelines, managing the data lake, and enabling analytics, visualization, machine learning, and product development efforts. You will work closely with process owners, product owners, and business users to centralize and standardize data for use across the enterprise. Additionally, you will be responsible for implementing best practices, scaling data pipelines, and driving the adoption of data and business intelligence within the organization.

• Maintain a predictable, transparent, global operating rhythm for data access
• Collect, transport, maintain, and curate data in the Data Lake/data repository
• Centralize and standardize data for use by business, data science, and other stakeholders
• Increase awareness and democratize access to available data
• Contribute to code development in projects and services
• Manage and scale data pipelines from internal and external sources
• Build automation and monitoring frameworks for data pipeline quality and performance
• Implement best practices for systems integration, security, performance, and data management
• Create value through increased adoption of data, data science, and business intelligence
• Collaborate with internal clients for solutioning and POC discussions
• Evolve the architectural capabilities and maturity of the data platform
• "Productionalize" data science models and manage SLAs for data products and processes
• Support large-scale experimentation by data scientists
• Prototype new approaches and build solutions at scale
• Research state-of-the-art methodologies
• Create documentation for learnings and knowledge transfer
• Create and audit reusable packages or libraries

Bachelor’s degree preferred; Experience with building solutions in the healthcare space is a plus

Fluent with AWS cloud services; AWS Certification is a plus; Cloud Data Lake experience required

Apache Iceberg/Delta Lake required

6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture

4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools and Snowflake required

4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.

2+ years in cloud data engineering experience in Oracle OCI/AWS

Experience with integration of multi cloud service

• Incredible Medical, Dental, Vision benefits - Effective on the first of the month after your start
• FREE single healthcare coverage!!!
• Company paid Basic Life & AD&D Insurance, STD/LTD
• ROBUST Employee Assistance Program (EAP)
• 401k with company match
• 9 paid holidays AND 3 floating holidays = 12 total!
• Paid time off accrual
• Employee Referral Bonus
• Professional Development
• and more!