Data Engineer

🕒 October 31

🇺🇸 United States – Remote

💵 $130k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Celigo's careers page ↗Celigo's careers page, not through a job board

First seen by Remote Rocketship October 31

Still open on Celigo's site. Checked 3 hours ago.

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Logo of Celigo

Celigo

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 dimensional, data vault, and medallion/lakehouse data models for analytics, BI, and ML use cases • Collaborate in architectural discussions and decision-making • Translate business requirements into reliable, well-documented data solutions with Analytics, Product, and Engineering teams • Establish and enforce data quality standards, automated validations, and observability frameworks • Contribute to data governance, documentation, data lineage, access control, and compliance standards • Monitor and optimize pipeline performance, compute cost efficiency, and data freshness • Evaluate and implement Snowflake features and data tooling • Use AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or equivalent for pipeline development, code review, and documentation

🎯 Requirements

• 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 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, such as dbt + GitHub Actions or equivalent • Familiarity with data governance, security, and compliance in a cloud data warehouse context • 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 • Ability to translate complex business requirements into scalable, well-documented technical solutions • Strong communication skills and ability to collaborate across technical and non-technical teams

🏖️ Benefits

• Remote-first culture • Three weeks of vacation (starting year one) • Wellness days and holidays to recharge • Parental leave • Generous benefits package • Monthly tech stipend • Recognition and career development opportunities • Lightspeed learning opportunities • Competitive compensation

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