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Popular mid-level Data Engineer role in metro with broad tool requirements increases applicant competition.
Data engineering skills are highly transferable across industries, low domain-specific dependency.
Explicit 4+ years plus mandatory Snowflake, Python, SQL, ETL skills create strict filters.
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Develop and maintain scalable data pipelines to support operational and analytical needs.
Optimize and maintain cloud-based data infrastructure (Snowflake, Azure) focusing on performance and cost-efficiency.
Collaborate with cross-functional teams to deliver reliable data solutions and support data governance and quality practices.
Minimum 4+ years of experience in data engineering or a similar role.
Proficiency in data engineering programming languages such as Python, SQL, Scala.
Experience with cloud data platforms like Snowflake and Azure.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
Experienced in building and maintaining ETL/data pipelines and integrating big data tools such as Airflow, dbt, Apache Spark, Hadoop.
Familiar with data governance, quality frameworks, and security best practices.
Capable of working collaboratively within multidisciplinary teams and taking ownership of data infrastructure and quality.