Data Engineer

Celigo

. Design, build, and maintain scalable ELT/ETL pipelines and data infrastructure using Snowflake and modern tooling .

Posted 10/31/2026full-timeRemote • United StatesMid-LevelSenior💰 $130,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable ELT/ETL pipelines using Snowflake, with a strong focus on data governance, quality standards, and performance optimization. Proficient in translating complex business requirements into effective data solutions while collaborating across technical and non-technical teams.

Highest-signal resume keywords

Snowflake Performance OptimizationModern ELT Tooling (dbt, Fivetran, Airflow, Prefect)AI/ML Tool IntegrationAdvanced SQL ProficiencyData Governance and Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Modeling (Dimensional, Data Vault, Medallion)Automated TestingDistributed Computing FrameworksVersion Control (GitHub Actions)Programming (Python Preferred)Data Warehouse MigrationData Quality StandardsObservability FrameworksCost-Efficient Development Practices

Soft Skills

Strong Communication SkillsCollaboration Across Teams

Tools & Technologies

SnowflakeClaude CodeGitHub CopilotCursorDbtFivetranAirflowPrefect

Industry Keywords

Data EngineeringCloud Data WarehouseData GovernanceCompliance StandardsData LineageAccess ControlAudit Logging

Tech Stack

Tools & technologies

AirflowCloudETLPythonSnowflakeSQLVault

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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