Data Engineer

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $130k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Celigo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

☁️ SaaS

💰 $48M Series C on 2021-12

SaaS

Celigo is a world-class integration platform as a service (iPaaS) designed to facilitate automation of both common and custom business processes. It empowers IT and business teams to enhance agility and foster innovation within their organizations, particularly focusing on integration and digital transformation. The platform specializes in areas such as SaaS, Ecommerce, and Cloud Applications, making it a robust solution for modern business integration needs.

📋 Description

• Design, build, and maintain scalable ELT/ETL pipelines and data infrastructure using Snowflake and modern tooling • Implement data models, including dimensional, data vault, and medallion/lakehouse patterns, to support analytics, BI, and ML use cases • Collaborate in architectural discussions and decision-making with the team • Collaborate with Analytics, Product, and Engineering teams to translate business requirements into reliable, well-documented data solutions • Establish and enforce data quality standards, automated validations, and observability frameworks • Contribute to data governance practices, including documentation, data lineage, access control, and compliance standards • Monitor and optimize pipeline performance, compute cost efficiency, and data freshness across the warehouse • Evaluate and implement emerging Snowflake features and data tooling • Leverage AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or equivalent

🎯 Requirements

• Strong hands-on experience with Snowflake, including performance optimization, warehouse configuration, access controls, and cost-efficient development practices • Strong command of modern ELT tooling such as dbt, Fivetran, Airflow, or Prefect in a Snowflake-native environment • Hands-on experience integrating AI/ML tools into the development cycle, including AI-assisted coding, automated testing, or LLM-powered data workflows • Proven ability to translate complex business requirements into scalable, well-documented technical solutions • Strong communication skills with the ability to collaborate effectively across technical and non-technical teams • Degree in Computer Science, Engineering, or a related technical field • 5+ years of hands-on experience in data engineering, specifically building production-grade pipelines and distributed computing frameworks • 3+ years working directly with Snowflake in a production capacity • Demonstrated experience in architecting or contributing to at least one full data warehouse migration or rebuild on Snowflake • Advanced proficiency in SQL and at least one programming language (Python preferred) • Experience with version-controlled, CI/CD-driven data pipeline development (e.g., dbt + GitHub Actions or equivalent) • Familiarity with data governance, security, and compliance considerations in a cloud data warehouse context (e.g., column-level security, dynamic data masking, audit logging)

🏖️ Benefits

• Three weeks of vacation (starting year one) • Wellness days and holidays to recharge • Parental leave and a generous benefits package • Monthly tech stipend • Recognition and career development opportunities • Competitive compensation and benefits

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