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Metro location and popular early-career data role increase competition despite a mid-tier employer.
Core data engineering skills (SQL, Python, ETL) are highly transferable across industries.
Explicit 0–3 years plus mandatory Snowflake, Databricks, SQL, and Python skills create moderate filtering.
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Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using SQL, Snowflake, Databricks, and Python.
Optimize database objects and support data quality monitoring, troubleshooting, and performance optimization.
Collaborate with stakeholders and technical teams to support data-driven business decisions and document technical processes.
0–3 years of experience in software development or data engineering.
Strong hands-on skills with SQL, Snowflake, Databricks (Apache Spark concepts), and Python.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
Work Experience Required: 0–3 years
Experienced in building and maintaining data engineering solutions on modern platforms like Snowflake and Databricks.
Capable of handling end-to-end data pipeline development and troubleshooting in a healthcare-related or data-intensive environment.
Comfortable collaborating with both business and technical teams to translate data requirements into solutions.