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Remote role, generalist Data Engineer title, mid experience band, and metro market increase competition.
Core data engineering skills transfer across industries, but Snowflake/Snowpark specialization creates moderate domain bias.
Explicit 4-7 years plus mandatory Snowflake, Snowpark, Python, cloud and orchestration skills tighten filters.
Develop and maintain Snowflake data pipelines, ELT processes, and data transformation scripts with a focus on SQL and Python (Snowpark).
Support Snowflake environment management including access provisioning, performance tuning, and production support.
Collaborate with analysts and stakeholders to implement and optimize data ingestion, validation, and governance frameworks.
4-7 years of Data Engineering experience.
At least 2 years of hands-on experience with Snowflake platform and SQL development.
Proficiency in Python and Snowpark, plus experience with cloud storage platforms (Azure Blob Storage, ADLS, AWS S3).
Bachelor’s degree in Business Analytics, Computer Science, Statistics or Master’s in Data Science.
Experienced in building scalable ELT pipelines and optimizing data models within Snowflake environment.
Familiarity with orchestration tools like Azure Data Factory or Airflow and DevOps/Git workflows.
Capable of supporting Snowflake admin, governance, incident resolution and continuous improvement activities.