Data Engineer

We are looking for a Backend Data Engineer with 3+ years of experience to join a fast-paced organization working with modern data platforms, AI-assisted development tools, and rapidly evolving technologies. The ideal candidate combines strong engineering skills with ownership, collaboration, and a product-oriented mindset.

Responsibilities

• Design, build, and maintain scalable data pipelines, models, and backend data infrastructure.
• Develop and optimize transformation workflows using dbt and cloud data platforms such as Snowflake and/or Databricks.
• Build and manage workflow orchestration for reliable, production-grade data processes.
• Create internal data applications and tooling using technologies such as Streamlit.
• Work closely with Data Product Managers to translate business and product requirements into practical technical solutions.
• Collaborate across engineering, analytics, and product teams; ask the right questions, challenge assumptions when needed, and help shape solutions.
• Use modern GenAI development tools such as Cursor, Snowflake CoWork, Codex, Claude Code, and similar tools to accelerate engineering workflows.
• Take ownership from design through implementation, deployment, and continuous improvement.

Requirements

• 4+ years of experience in Data Engineering, Backend Engineering, or a related role.
• Strong hands-on experience with dbt, SQL, data modeling, and