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Remote mid-level Data Engineer in a metro location with generalist requirements increases competition.
Data engineering skills (Python, SQL, ETL, cloud) are highly transferable across industries.
Explicit 3–5 years requirement plus mandatory Python, SQL, and cloud skills tightens candidate filtering.
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Design, develop, and maintain high-performance Python applications and ETL data pipelines.
Implement and integrate APIs, web scraping, and SQL queries to extract and manage large datasets.
Ensure code quality, performance, and scalability while collaborating with cross-functional teams to deliver robust data engineering solutions.
3–5+ years of hands-on experience as a Data Engineer using Python.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Proficiency with Python libraries such as Pandas, NumPy, and Scrapy, plus strong SQL skills and experience with relational databases.
Experience with cloud platforms such as AWS.
Experienced in end-to-end Python-based data engineering including ETL pipeline design and optimization.
Capable of integrating multiple data sources via APIs and web scraping for complex data workflows.
Comfortable working in collaborative teams and delivering scalable, high-quality data solutions in a dynamic environment.