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Common Data Engineer title, mid-level experience, metro location, and broad toolset drive high competition.
Core data platform, Python, SQL, and cloud skills are broadly transferable across industries.
Explicit 4+ years, Snowflake admin depth, platform ownership, and mandatory language skills create strict filters.
Design, build, and operate internal data platform infrastructure, workflows (Temporal, Airflow), and developer tools used across the company.
Maintain and own cost governance, monitoring, and reliability for key data services including Snowflake, dbt Cloud, Airflow, and Kafka.
Develop, deploy, and support production data systems and automation for ML model deployment, ensuring platform stability and compliance.
4+ years of software engineering experience.
Strong proficiency in Python or Go programming languages.
Experience with backend systems, platform applications, or distributed data-heavy applications in production.
Proficiency in SQL, data modeling, ETL, data warehousing, and governance principles.
Experienced in managing complex data infrastructure and workflow orchestration platforms like Temporal or Airflow.
Comfortable with end-to-end ownership of production data platform code, including incident response and cost optimization.
Skilled in building internal developer-facing platforms and automation supporting analytics engineering and ML model lifecycle.