Pay: Salary not listed in the saved posting
Work setup: Remote stated — work setup source
This is a remote position. We are looking for an experienced Data Engineer with strong hands-on experience in Azure Data Factory (ADF), Snowflake, dbt, and SQL. The ideal candidate will be responsible for building and maintaining scalable data pipelines, transforming data, and developing reliable data solutions for analytics and reporting.
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Employment: Unconfirmed

What you’ll work on

Design, develop, and maintain ETL/ELT data pipelines using Azure Data Factory (ADF).
Build and optimize data solutions using Snowflake as the cloud data warehouse.
Develop data transformation models using dbt (Data Build Tool).

From the employer’s posting

Key Responsibilities Design, develop, and maintain ETL/ELT data pipelines using Azure Data Factory (ADF). Build and optimize data solutions using Snowflake as the cloud data warehouse.

Design, develop, and maintain ETL/ELT data pipelines using Azure Data Factory (ADF). Build and optimize data solutions using Snowflake as the cloud data warehouse. Develop data transformation models using dbt (Data Build Tool).

Build and optimize data solutions using Snowflake as the cloud data warehouse. Develop data transformation models using dbt (Data Build Tool). Write complex and optimized SQL queries, stored procedures, views, and transformations.

What you’ll bring

All qualifications

Core experience

4+ years of experience in Data Engineering.
Strong understanding of ETL/ELT concepts and data warehousing.
Experience developing complex data pipelines and data transformations.
Good understanding of dimensional data modeling, including fact and dimension tables.
Experience with Snowflake performance optimization and query tuning.
Hands-on experience with dbt models, tests, incremental models, macros, and Jinja.

Preferred experience

Experience with Azure cloud services, particularly Azure Storage, Azure Functions, Databricks, or Key Vault.
Experience integrating data through REST APIs, JSON, CSV, and relational databases.
Experience with Python or PySpark is a plus.
Experience with Git and CI/CD using Azure DevOps or similar tools.

Qualification wording

4+ years of experience in Data Engineering.

Strong understanding of ETL/ELT concepts and data warehousing.

Experience developing complex data pipelines and data transformations.

Good understanding of dimensional data modeling, including fact and dimension tables.

Experience with Snowflake performance optimization and query tuning.

Hands-on experience with dbt models, tests, incremental models, macros, and Jinja.

Experience with Azure cloud services, particularly Azure Storage, Azure Functions, Databricks, or Key Vault.

Experience integrating data through REST APIs, JSON, CSV, and relational databases.

Experience with Python or PySpark is a plus.

Experience with Git and CI/CD using Azure DevOps or similar tools.

Tools in this posting

Python
SQL
Azure
Databricks
dbt
Snowflake
PySpark

Source

- Experience integrating data through REST APIs, JSON, CSV, and relational databases. - Experience with Python or PySpark is a plus. - Experience with Git and CI/CD using Azure DevOps or similar tools.

This is a remote position. We are looking for an experienced Data Engineer with strong hands-on experience in Azure Data Factory (ADF), Snowflake, dbt, and SQL. The ideal candidate will be responsible for building and maintaining scalable data pipelines, transforming data, and developing reliable data solutions for analytics and reporting. Key Responsibilities

- Develop data transformation models using dbt (Data Build Tool). - Write complex and optimized SQL queries, stored procedures, views, and transformations. - Develop data pipelines to ingest data from various sources including APIs, databases, files, and enterprise applications.

- Implement incremental data loads, scheduling, dependency management, and error handling in ADF. - Develop scalable and optimized Snowflake data models, tables, views, and SQL transformations. - Build and maintain dbt models, tests, macros, and documentation.

- dbt - Advanced SQL - Strong understanding of ETL/ELT concepts and data warehousing.

Key Responsibilities - Design, develop, and maintain ETL/ELT data pipelines using Azure Data Factory (ADF). - Build and optimize data solutions using Snowflake as the cloud data warehouse.

- Strong hands-on experience with: - Azure Data Factory (ADF) - Snowflake

Preferred Skills - Experience with Azure cloud services, particularly Azure Storage, Azure Functions, Databricks, or Key Vault. - Experience integrating data through REST APIs, JSON, CSV, and relational databases.

- Experience with Python or PySpark is a plus. - Experience with Git and CI/CD using Azure DevOps or similar tools. - Understanding of data governance, data quality, and security best practices.

- Build and optimize data solutions using Snowflake as the cloud data warehouse. - Develop data transformation models using dbt (Data Build Tool). - Write complex and optimized SQL queries, stored procedures, views, and transformations.

- Develop scalable and optimized Snowflake data models, tables, views, and SQL transformations. - Build and maintain dbt models, tests, macros, and documentation. - Troubleshoot pipeline failures, data issues, and performance problems across ADF, Snowflake, and dbt.

- Build and maintain dbt models, tests, macros, and documentation. - Troubleshoot pipeline failures, data issues, and performance problems across ADF, Snowflake, and dbt. - Work with business analysts, data architects, and other engineering teams to understand data requirements and deliver solutions.

- Snowflake - dbt - Advanced SQL

- Experience with Snowflake performance optimization and query tuning. - Hands-on experience with dbt models, tests, incremental models, macros, and Jinja. - Strong troubleshooting and production support skills.

- Design, develop, and maintain ETL/ELT data pipelines using Azure Data Factory (ADF). - Build and optimize data solutions using Snowflake as the cloud data warehouse. - Develop data transformation models using dbt (Data Build Tool).

- Azure Data Factory (ADF) - Snowflake - dbt

- Good understanding of dimensional data modeling, including fact and dimension tables. - Experience with Snowflake performance optimization and query tuning. - Hands-on experience with dbt models, tests, incremental models, macros, and Jinja.

Job description

View original posting ↗

This is a remote position.

We are looking for an experienced Data Engineer with strong hands-on experience in Azure Data Factory (ADF), Snowflake, dbt, and SQL. The ideal candidate will be responsible for building and maintaining scalable data pipelines, transforming data, and developing reliable data solutions for analytics and reporting.

Key Responsibilities

Design, develop, and maintain ETL/ELT data pipelines using Azure Data Factory (ADF).
Build and optimize data solutions using Snowflake as the cloud data warehouse.
Develop data transformation models using dbt (Data Build Tool).
Write complex and optimized SQL queries, stored procedures, views, and transformations.
Develop data pipelines to ingest data from various sources including APIs, databases, files, and enterprise applications.
Perform data cleansing, transformation, validation, and reconciliation to ensure data quality and accuracy.
Implement incremental data loads, scheduling, dependency management, and error handling in ADF.
Develop scalable and optimized Snowflake data models, tables, views, and SQL transformations.
Build and maintain dbt models, tests, macros, and documentation.
Troubleshoot pipeline failures, data issues, and performance problems across ADF, Snowflake, and dbt.
Work with business analysts, data architects, and other engineering teams to understand data requirements and deliver solutions.
Support production deployments, monitoring, and ongoing enhancement of data pipelines.

Required Skills

4+ years of experience in Data Engineering.
Strong hands-on experience with:
- Azure Data Factory (ADF)
- Snowflake
- dbt
- Advanced SQL
Strong understanding of ETL/ELT concepts and data warehousing.
Experience developing complex data pipelines and data transformations.
Good understanding of dimensional data modeling, including fact and dimension tables.
Experience with Snowflake performance optimization and query tuning.
Hands-on experience with dbt models, tests, incremental models, macros, and Jinja.
Strong troubleshooting and production support skills.

Preferred Skills

Experience with Azure cloud services, particularly Azure Storage, Azure Functions, Databricks, or Key Vault.
Experience integrating data through REST APIs, JSON, CSV, and relational databases.
Experience with Python or PySpark is a plus.
Experience with Git and CI/CD using Azure DevOps or similar tools.
Understanding of data governance, data quality, and security best practices.
Experience working with large-scale enterprise data platforms.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on etech.zohorecruit.com. The employer’s form will show what is required.

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Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Location not supplied.
This is a remote position. We are looking for an experienced Data Engineer with strong hands-on experience in Azure Data Factory (ADF), Snowflake, dbt, and SQL. The ideal candidate will be responsible for building and maintaining scalable data pipelines, transforming data, and developing reliable data solutions for analytics and reporting.
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at etech.zohorecruit.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Sep 2, 2026
Recorded sightings: 147
Last seen by us: Oct 12, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Data Engineer (ADF, Snowflake)