Senior Data Engineer (dbt, Snowflake, Modern Analytics Stack)

By myKelly | October 5, 2026

Senior Data Engineer (dbt, Snowflake, Modern Analytics Stack)

Apply On Motion Recruitment Applied

Job ID: mrp-891598

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Remote, TX, US

Engineering

Full Time,

$140000 - $180000

On-site

Other/Non Classified

Remote, TX, US

$140000 - $180000

Full Time,

Other/Non Classified

On-site

Engineering

Apply On Motion Recruitment Applied

Job details

Join a rapidly growing logistics and supply chain technology organization that is expanding its data capabilities to support large-scale operations across North America. This is a full-time, remote opportunity with a preference for candidates located in the Pacific or Mountain time zones. Working in a fully remote environment, you’ll leverage modern technologies including Azure, Snowflake, dbt, Python, and Terraform to help build and scale a robust cloud data platform.

This remote role is ideal for a data professional who enjoys owning the operational side of data engineering. The organization already has strong foundations in architecture, ingestion, and data modeling, and is seeking someone who can deepen the platform through data transformations, pipeline development, DBA-focused work, and production operations. You’ll join a collaborative, low-ego remote team that values autonomy, engineering excellence, and meaningful ownership, with the opportunity to make a significant impact without the churn-and-burn pace often associated with startup environments.

Required Skills & Experience
· 2+ years of professional Data Engineering experience
· Strong experience with Azure Data Factory (ADF) and Azure Data Lake
· Advanced SQL and data transformation expertise
· Experience building and maintaining production data pipelines
· Strong understanding of data operations, platform support, and troubleshooting
Desired Skills & Experience
· dbt
· Snowflake
· CI/CD pipelines
· Terraform
· Python
What You Will Be Doing
Tech Breakdown
· 35% Data Pipeline Development
· 25% Data Transformations & Modeling
· 20% Database Operations & Administration
· 10% Cloud Infrastructure & Automation
· 10% Cross-Functional Collaboration
Daily Responsibilities

  •  Build and maintain scalable data pipelines and transformation workflows
  • Support database administration and operational data platform needs
  • Develop and optimize data models, reporting datasets, and business-critical transformations
  • Monitor pipeline health, troubleshoot production issues, and improve reliability
  • Collaborate closely with engineering leadership and business stakeholders

The Offer
You will receive the following benefits:
· Medical, Dental, and Vision Insurance
· PTO and Paid Holidays
· Bonus Eligible
· 401(k)
· Career Growth Opportunities
· Fully Remote Work Environment

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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