Data Engineer

About the role

Supportful is an all‑remote impact startup and software engineering consulting firm. We are seeking a passionate Data Engineer to design, build, and maintain robust data pipelines and analytics solutions for our diverse client base.

Key responsibilities

• Design and build scalable data pipelines and ETL workflows.
• Develop and manage data warehouses and data lakes.
• Build and optimize data models for analytical use.
• Collaborate closely with data scientists and analysts to meet business needs.
• Monitor pipeline performance and improve query efficiency.
• Build and maintain self‑serve BI tools for clients.

Required profile

• 3+ years of experience in data modeling.
• Hands‑on experience with data pipeline tools such as Apache Spark or dbt.
• Strong SQL skills.
• Proficiency with at least one BI tool (e.g., Power BI).
• Bonus: solid Python skills.
• Bonus: familiarity with cloud platforms.

Required skills

• Apache Spark
• dbt
• SQL
• Power BI
• Python (optional)
• Cloud platforms (optional)

What we offer

• Life‑work balance focus.
• Competitive compensation with top health coverage.
• Open‑door policy.
• Tailored training program with rewards.
• Clear career development plan.
• Fun offsite events and more.