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Mid-level, popular Data Engineer title with broad skill overlap increases applicant competition.
Core data engineering skills transfer across industries, but Snowflake/Azure and healthcare add moderate specialization.
Explicit 1–3 years and SQL requirement create moderate filtering, but tools are often 'preferred' rather than mandatory.
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Assist in building and maintaining ELT data pipelines using Azure Data Factory and Snowflake within a Medallion data architecture.
Support data ingestion, transformation, loading, and validation to ensure data quality.
Collaborate with senior engineers and cross-functional teams to deliver data solutions and document data processes.
Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience).
1–3 years of experience in data engineering, data development, or related field.
Exposure to SQL and relational databases is required; basic familiarity with Snowflake and Azure Data Factory preferred.
Work Experience Required: 1–3 years in data engineering or related field.
Early-career data engineer seeking to develop hands-on skills in Snowflake, Azure Data Factory, and modern data platforms.
Comfortable working under guidance with a focus on learning and following established processes.
Experience or exposure to ELT concepts and collaborative agile team environments.