Senior Data Engineer — Snowflake, DBT & AWS

Intetics Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Intetics Inc. is seeking a Senior Data Support Engineer to join a distributed professional team delivering custom software solutions in the United States.

The role emphasizes data engineering proficiency across Snowflake, Python, SQL, dbt, and AWS, with a strong track record in delivering data-driven projects. Ideal candidates will have extensive exposure to data modelling, ELT development, data warehousing, and QA/UAT processes, plus experience with Git and GitHub workflows to support robust

Qualifications

• Must have at least 5–6 years of experience with Data Engineering.
• Proven track record as a Data Engineer with demonstrable projects and solutions delivered.
• At least 5–6 years of experience with SQL for complex data manipulation, transformation and analysis.
• At least 5–6 years of experience with dbt core or dbt Cloud.
• At least 5–6 years of experience with Snowflake.
• At least 5–6 years of experience with Python for scripting and custom data ingestion.
• At least 5–6 years of experience with data modelling, ELT development, and data warehousing techniques.
• At least 5–6 years of experience with Git and GitHub Pull Request reviews.
• At least 5–6 years of experience supporting QA and User Acceptance Testing processes.

Skills

Snowflake

Python

SSIS

SQL Server

DBT

AWS

SQL

dbt Core/Cloud

Git

GitHub Pull Request

QA/UAT testing

Data modelling

ELT development

Data warehousing

Data ingestion scripting

Tools

GitHub Actions

Fivetran

Terraform

AWS Lambda

S3

ECS

Power BI

Azure Data Factory

Logic Apps

Job description

Intetics Inc. is seeking a Senior Data Support Engineer to join a distributed professional team delivering custom software solutions in the United States.

The role emphasizes data engineering proficiency across Snowflake, Python, SQL, dbt, and AWS, with a strong track record in delivering data-driven projects. Ideal candidates will have extensive exposure to data modelling, ELT development, data warehousing, and QA/UAT processes, plus experience with Git and GitHub workflows to support robust