Remote Data Engineer: Snowflake, DBT & Airflow Expert

Diacto Technologies; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Diacto Technologies is seeking a Snowflake-centric Data Engineer to design and optimize modern data pipelines on Google Cloud Platform. The role emphasizes Snowflake, DBT, Airflow, and GitHub with strong SQL and Python skills for scalable analytics.

This is a remote opportunity with opportunities to work across cloud-native data architectures. Ideal candidates will have hands-on Snowflake expertise, DBT and Airflow experience, and a solid grounding in data modeling and governance.

Qualifications

• B.E./B.Tech in Computer Science, IT, or a related discipline.
• MCS/MCA or equivalent postgraduate degree preferred.

Responsibilities

• Design, build, and maintain data pipelines and transformation workflows on GCP and Snowflake.
• Develop modular data models using DBT aligned with analytics and reporting requirements.
• Implement workflow orchestration using Apache Airflow for reliable data movement.
• Write efficient SQL and Python scripts for automation and performance optimization.
• Define and enforce data quality, lineage, and governance practices.
• Integrate GitHub for CI/CD and version control of data pipelines.
• Optimize Snowflake performance and ensure cost-efficient, scalable ELT workflows.
• Collaborate with cross-functional teams to enable end-to-end data delivery.

Skills

Data Engineering

SQL

Python

Data Modeling

Pipeline Design

Cloud Platforms

Education

Bachelor's in CS/IT

Master's degree or equivalent

Tools

Snowflake

DBT

Airflow

GitHub

Sigma

Google Cloud Platform (GCP)

BigQuery

Job description

Diacto Technologies is seeking a Snowflake-centric Data Engineer to design and optimize modern data pipelines on Google Cloud Platform. The role emphasizes Snowflake, DBT, Airflow, and GitHub with strong SQL and Python skills for scalable analytics.

This is a remote opportunity with opportunities to work across cloud-native data architectures. Ideal candidates will have hands-on Snowflake expertise, DBT and Airflow experience, and a solid grounding in data modeling and governance.