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Data Engineering and Analytics Manager

Posted 2024-10-23

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💎 Seniority level: Manager, 5-8+ years in data engineering and analytics

💸 Salary: 185000 - 200000 USD per year

🔍 Industry: Insurance

🏢 Company: Spark Advisors

⏳ Experience: 5-8+ years in data engineering and analytics

Requirements:
  • 5-8+ years in data engineering and analytics in a startup environment.
  • 1+ years of experience leading data teams in a management capacity.
  • Strong technical foundation in data engineering and infrastructure with a modern data stack such as GCP or Snowflake, dbt, Airflow, or Fivetran.
  • Experience automating data workflows and cleaning messy data with modern tools like Dataform or dbt.
  • Experience with BI tools and visualizing data (Metabase, Looker, Tableau or similar).
  • Strong proficiency in SQL and Python.
  • Player/coach leadership style, balancing hands-on work with team management.
  • Strong project management, planning, and prioritization skills.
  • Ability to think strategically and tactically.
Responsibilities:
  • Hire, onboard, and mentor team members across data engineering, pipelining, and analytics.
  • Balance hands-on technical work with providing high-level guidance and mentorship to the team.
  • Drive planning, prioritization, scoping and execution of the data roadmap.
  • Partner with product, engineering, carrier relations, and finance on strategic data initiatives.
  • Build and maintain scalable data infrastructure on GCP using BigQuery, Dataform, Datastream, Cloud Composer, Metabase and Hex.
  • Architect and build data pipelines to transform messy data into structured formats.
  • Automate and standardize manual data processes.
  • Guide team in providing BI insights and building dashboards for data-driven decision-making.
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