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Remote role, metro location, popular senior data engineer title with broad Snowflake/dbt skillset increases competition.
Core data engineering skills (ETL, Snowflake, dbt, Python, SQL) are highly transferable across industries.
Explicit 8+ years and mandatory Snowflake, dbt, Fivetran, SQL and Python requirements create strict filters.
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Lead design and development of scalable data pipelines focusing on ETL, data integration, and transformation.
Architect and maintain cloud-based data warehouses, data lakes, and marts primarily on Snowflake.
Mentor junior engineers and collaborate with analysts, scientists, and stakeholders to align data solutions with business goals.
Bachelor's or master's degree in Computer Science, Data Science, or related field.
8+ years of experience in data engineering.
Strong expertise in Snowflake, ETL tools like Fivetran, and data transformation/orchestration using dbt.
Proficiency in SQL, database design, and programming in Python, Java, or similar languages.
Experienced in leading end-to-end data pipeline architecture and cloud data platforms, especially Snowflake.
Capable of mentoring technical teams and collaborating cross-functionally with business stakeholders.
Hands-on expertise in ETL orchestration, data modeling, and implementing scalable data solutions aligned to strategic business needs.