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Strong employer brand, metro location, mid-level generalist data role, broad skill requirements.
Core data engineering skills are highly transferable across industries, so background fit is low.
Explicit 3+ years requirement and mandatory SQL/Python/cloud skills increase filter strictness.
Design, develop, and maintain scalable data pipelines and platforms enabling analytics, reporting, and AI/ML solutions.
Analyze requirements and develop reliable data solutions supporting enterprise data needs with moderate complexity.
Support and optimize cloud-based data platforms, ensuring pipeline performance, data quality, governance, and compliance.
Bachelor's degree in Computer Science, Data Engineering, or related field.
3+ years of experience in data engineering, software engineering, or big data development.
Proficiency in SQL and Python; experience with ETL/ELT pipelines and large-scale datasets.
Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud.
Experienced in building and optimizing data workflows in cloud environments (Azure, AWS, or GCP).
Skilled at independently solving moderately complex data engineering challenges with stakeholder collaboration.
Familiarity with data governance, data modeling, and designing for regulated industries such as healthcare or financial services.