Data Engineer (DBT, Snowflake, Python)

Emcube Technologies Inc; Town of Texas (WI); Remote; USD 120,000 - 180,000; Full time

Job summary

Emcube Technologies Inc is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and DBT transformations using Python and Snowflake for enterprise analytics.

The role focuses on data modeling, pipeline optimization, data quality, orchestration, and delivering reliable datasets for reporting. Remote work with a contract engagement is offered, targeting professionals with 6–9 years of experience.

Qualifications

• 6-9 years of experience building scalable data pipelines and transformation workflows.
• Experience with DBT, Snowflake, Python, and SQL for data modeling and analytics.

Responsibilities

• Design, develop, and maintain scalable data pipelines and DBT transformations using Python and Snowflake.
• Optimize Snowflake data models and queries while implementing data quality, testing, version control, and orchestration best practices.
• Monitor and troubleshoot pipeline performance, collaborate with stakeholders on data requirements, and maintain technical documentation.

Skills

Data modeling

Pipeline optimization

Data quality

Orchestration

Tools

DBT

Snowflake

Python

SQL

Job description

Title: Data Engineer (DBT, Snowflake, Python)

Location: TX - Remote

Type: Contract

Data Engineer with 6-9 years of experience building scalable data pipelines and transformation workflows using DBT, Snowflake, Python, and SQL. The role focuses on data modeling, pipeline optimization, data quality, orchestration, and delivering reliable enterprise-scale datasets for analytics and reporting.

Key Responsibilities:

1. Design, develop, and maintain scalable data pipelines and DBT transformation workflows using Python and Snowflake.
2. Optimize Snowflake data models and queries while implementing data quality, testing, version control, and orchestration best practices.
3. Monitor and troubleshoot pipeline performance, collaborate with stakeholders on data requirements, and maintain technical documentation.

Email: [e-mail]