Overview
Skills
Job Details
Data Engineer
Experience: 10+ Years
Location: Onsite (Minneapolis) / Hybrid
Mandatory Skills: AWS, ETL, Data Modeling, Healthcare
What's in it for you?
As a Data Engineer, you will be part of an Agile team responsible for building healthcare applications and implementing new features while adhering to best-in-class coding and development standards.
Responsibilities:
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Design and maintain scalable data pipelines and models as a Senior Data Engineer.
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Lead data modeling efforts using dimensional, relational, and NoSQL approaches.
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Develop and optimize ETL/ELT pipelines, ensuring data quality and timely delivery.
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Implement data governance practices aligned with HIPAA regulations.
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Design and manage cloud-based data solutions using AWS services (S3, Redshift, Glue, Athena, etc.).
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Automate workflows using Apache Airflow for efficient data processing.
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Support analytics and reporting teams by providing reliable data foundations.
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Troubleshoot performance issues and optimize query execution.
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Ensure code quality through version control, testing, and thorough documentation.
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Collaborate with stakeholders to translate business needs into scalable data solutions.
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Required: 5+ years of experience in data engineering and at least 2+ years in the healthcare insurance domain.
Educational Qualifications:
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Engineering Degree BE/ME/BTech/MTech/BSc/MSc
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Technical certification in multiple technologies is desirable