Data Engineer

United StatesRemoteFull TimePosted 2 months ago

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Role summary

Healthmetryx is seeking a full-time remote Data Engineer to design, develop, and maintain data pipelines, implement data models, and build data warehouses. The role involves executing ETL processes, ensuring data accuracy, optimizing data delivery, and troubleshooting systems. The Data Engineer will collaborate with cross-functional teams to deliver data-driven solutions, leveraging skills in Python, SQL, data modeling, and data warehousing. A Bachelor's degree in a related technical field is required, and familiarity with cloud platforms like AWS, Azure, or Google Cloud is a plus.

Company Description

Healthmetryx is a Real-World Data Platform as a Service (PaaS) specializing in the digitization, analysis, and distribution of human breath emissions data. Our platform is dedicated to advancing the understanding of human health through innovative data-driven insights. We are committed to empowering organizations with solutions for exploring the potential of their data. At Healthmetryx, we aim to transform healthcare through groundbreaking analysis and technology-driven approaches.

Role Description

This is a full-time remote role for a Data Engineer. The Data Engineer will be responsible for designing, developing, and maintaining data pipelines, implementing data models, and building data warehouses to support business intelligence and analytics. The role includes executing Extract, Transform, Load (ETL) processes, ensuring data accuracy, optimizing data delivery, and troubleshooting data systems. The Data Engineer will collaborate with other technical and business teams to deliver data-driven solutions.

Qualifications

Proven skills in Data Engineering, including experience with building and maintaining scalable data pipelines
Proficiency in Data Modeling and experience with designing effective database schemas
Expertise in Extract, Transform, Load (ETL) processes and tools
Experience with Data Warehousing and implementing enterprise-level data storage solutions
Familiarity with Data Analytics and the ability to support data-driven decision-making
Proficiency in programming languages such as Python, SQL, or similar
Strong problem-solving and communication skills
Bachelor’s degree in Computer Science, Data Science, or a related technical field
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is a plus

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