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Metro location and a generic early-career data/software engineer title increase applicant competition.
Core data engineering skills (SQL, Python, Snowflake, Databricks) are highly transferable across industries.
Explicit 0–3 years plus mandatory Snowflake, Databricks, SQL and Python raises selection strictness.
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Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Snowflake, Databricks, and Python.
Develop and optimize SQL queries, stored procedures, and manage data solutions on modern data platforms.
Monitor, troubleshoot, and ensure data quality and reliability while collaborating with business stakeholders and engineering teams.
0–3 years of experience in software development or data engineering.
Proficiency in SQL, Snowflake, Databricks (Apache Spark concepts), and Python for data processing.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
Work Experience Required: 0–3 years
Experience in building and optimizing data pipelines in cloud-based data platforms like Snowflake and Databricks.
Strong foundation in data engineering and ETL/ELT processes with an analytical approach to troubleshooting and performance optimization.
Comfortable working in a collaborative environment interfacing with business and technical teams in a healthcare-related setting.