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Celigo

SaaS iPaaS platform for app integration

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$130k - $170k /yr

About the Job

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.
  • Ability to translate complex business requirements into scalable, well-documented technical solutions.
  • A degree in Computer Science, Engineering, or a related technical field.
  • At least 5 years of hands-on experience in data engineering, specifically building production-grade pipelines and distributed computing frameworks.
  • At least 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 is preferred.
  • Experience with version-controlled, CI/CD-driven data pipeline development, such as dbt with GitHub Actions or equivalent.
  • Familiarity with data governance, security, and compliance considerations in a cloud data warehouse context, such as column-level security, dynamic data masking, and audit logging.

Responsibilities

  • 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 to support analytics, business intelligence, and machine learning 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 to ensure high reliability across pipelines.
  • 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 to improve engineering velocity and reduce costs.
  • Use AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or equivalent to accelerate pipeline development, code review, and documentation.

Desired Qualifications

  • Python programming experience.

About the Company

Celigo

SaaS iPaaS platform for app integration

What Celigo does: Celigo provides an iPaaS platform in the SaaS market that unifies multiple software applications and automates critical business processes, ensuring data lands in the right place at the right time. How its product works: The platform connects various apps, automates workflows, and data flows through a subscription-based service that includes features for integration and automation, plus professional services and support. How Celigo differs from competitors: It emphasizes an easy-to-use interface combined with strong integration and automation capabilities, targeting a wide range of customers from SMEs to large enterprises, and offers a mix of self-serve features with professional services. What Celigo’s goal is: To help businesses improve data accuracy, streamline workflows, and boost operational efficiency by keeping software systems synchronized through automated integrations.

Company size
501-1,000
Company stage
Series C
Total funding
$76M
Headquarters
Redwood City, CA
Founded
2011

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