Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SQLSnowflakeAzureData PipelinePythonTerraformdbt
Job Description
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
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.
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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