Senior Data Engineer: Snowflake ELT & AI-Powered Pipelines

Dataroles

Northern (KY)

Hybrid

USD 130,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Three weeks of vacation (starting year
Wellness days and holidays
Parental leave
Monthly tech stipend
Career development opportunities

Job summary

Celigo seeks a Data Engineer to design, build, and maintain scalable ELT/ETL pipelines using Snowflake, enabling analytics, BI, and ML use cases.

You will implement data models (dimensional, data vault, medallion) and collaborate across Analytics, Product, and Engineering to translate business requirements into reliable data solutions. Emphasis on governance, quality, and cost efficiency.

Qualifications

  • Degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of hands-on experience in data engineering with production-grade pipelines.
  • 3+ years working directly with Snowflake in production.
  • Experience with data governance, security, and compliance in cloud DW contexts.

Responsibilities

  • Design, build, and maintain scalable ELT/ETL pipelines and data infrastructure using Snowflake and modern tooling.
  • Implement data models—dimensional, data vault, and medallion/lakehouse patterns—for analytics/ML.
  • Collaborate in architectural discussions with team and with Analytics, Product, and Engineering.
  • Translate business requirements into reliable, well-documented data solutions.
  • Establish data quality standards, automated validations, and observability frameworks.

Skills

Snowflake
dbt
Airflow
Prefect
SQL
Python
AI-assisted tooling

Education

CS/Engineering degree

Tools

dbt
GitHub Actions
Fivetran
Airflow

Job description

Celigo seeks a Data Engineer to design, build, and maintain scalable ELT/ETL pipelines using Snowflake, enabling analytics, BI, and ML use cases.

You will implement data models (dimensional, data vault, medallion) and collaborate across Analytics, Product, and Engineering to translate business requirements into reliable data solutions. Emphasis on governance, quality, and cost efficiency.

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