Data Engineer

Medical Guardian

full-time

Posted on: 8/26/2025

Location: Pennsylvania • 🇺🇸 United States

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Mid-LevelSenior

AzureCloudETLPythonSQL

About the role

Medical Guardian is a trusted leader in personal safety solutions delivering independence for aging adults; serves over 625,000 members.
Build and maintain ELT pipelines and data models using dbt to support a reliable and scalable enterprise data warehouse.
Collaborate with data architects and other engineers to implement efficient data structures for business reporting, analytics, and AI needs.
Prepare and transform datasets for machine learning models and automate model inputs/outputs to enable data-driven products.
Develop and orchestrate data workflows using Azure Data Factory, Azure SQL, Synapse Analytics, and Blob Storage.
Ensure scalability, performance, data integrity, validation, testing, and monitoring across pipelines.
Follow internal data governance and compliance policies including HIPAA and CCPA.
Partner with cross-functional stakeholders; participate in code reviews, documentation, and sprint planning.
Hybrid role requiring a minimum of two days per week in the Philadelphia office and occasional off-hours troubleshooting.

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.
3+ years of professional experience in data engineering or a similar role supporting data infrastructure and analytics solutions.
Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
Proficient in SQL, Python, and dbt for transformation and modeling.
Hands-on experience with Azure Data Factory, Azure SQL, Synapse Analytics, and Blob Storage.
Familiarity with ELT/ETL best practices, dimensional modeling, and building pipelines for modern data warehouses.
Experience supporting machine learning model development or deployment (preferred).
Familiarity with MLOps workflows, CI/CD for data pipelines, and Git-based version control (preferred).
Background in regulated environments such as healthcare or financial services is a plus.
Willingness to assist with off-hours production troubleshooting as needed.
Knowledge of data governance and compliance requirements (HIPAA, CCPA).