Remote Senior Snowflake Data Engineer - ELT & dbt Expert

Adastra Corp

United States

Remote

USD 26,000 - 53,000

Full time

4 days ago
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Benefits offered by this job

Flexible work
Hybrid working arrangements
Career development

Job summary

Adastra is seeking a Senior Snowflake/DBT Data Engineer to join a fully remote, India-based team on a contract basis. The role demands hands-on expertise with Snowflake, dbt, SQL and Python to deliver analytics-ready data and robust ELT pipelines.

You will design and optimize end-to-end data flows, implement performance tuning, develop CI/CD for dbt/Snowflake, mentor juniors, and collaborate with product and engineering teams to model data that supports analytics across diverse client projects.

Qualifications

  • 8+ years in data engineering with Snowflake and dbt.
  • Strong SQL and Python skills.
  • Experience with ELT tools like Fivetran.
  • Hands-on with data warehousing concepts and Data Vault 2.0.

Responsibilities

  • Design and maintain ELT pipelines using Fivetran, dbt, and Snowflake.
  • Write and optimize complex SQL queries and dbt models.
  • Tune Snowflake performance with clustering and resource monitors.
  • Collaborate with product and engineering teams to model data.
  • Develop CI/CD pipelines for dbt and Snowflake deployments.
  • Mentor junior engineers and promote best practices.
  • Troubleshoot production issues and implement long-term fixes.

Skills

Snowflake
dbt
SQL
Python
Data warehousing
Data modelling
CI/CD
Azure DevOps
Mentoring

Education

Master's degree in Computer Science or related field

Tools

Fivetran
Azure DevOps

Job description

Adastra is seeking a Senior Snowflake/DBT Data Engineer to join a fully remote, India-based team on a contract basis. The role demands hands-on expertise with Snowflake, dbt, SQL and Python to deliver analytics-ready data and robust ELT pipelines.

You will design and optimize end-to-end data flows, implement performance tuning, develop CI/CD for dbt/Snowflake, mentor juniors, and collaborate with product and engineering teams to model data that supports analytics across diverse client projects.

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