Principal Data Engineer: Snowflake, dbt & AI Pipelines

Anblicks

Dallas (TX)

On-site

USD 120,000 - 170,000

Full time

8 days ago

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Job summary

Anblicks in Dallas is seeking an experienced data engineer to lead the design, development, and optimization of scalable data pipelines using Snowflake and dbt. You will own end-to-end data solutions, from requirements analysis and data modeling through development, testing, and production deployment.

In this role, you will craft efficient data models and ELT/CDC workflows, push for robust data quality and monitoring, and drive engineering best practices.

Qualifications

  • Lead the design and maintenance of scalable data pipelines using Snowflake and dbt.
  • Design efficient data models and transformation frameworks for analytics and business use.
  • Develop and optimize complex SQL transformations, incremental processing, CDC, and ELT workflows.
  • Establish engineering best practices around code quality, modularity, performance, and cost efficiency.

Responsibilities

  • Lead design, development, optimization, and maintenance of scalable data pipelines using Snowflake and dbt.
  • Own data engineering solutions end-to-end from requirements to production deployment.
  • Collaborate with architects and stakeholders to translate business needs into scalable technical solutions.
  • Lead technical design reviews, mentor engineers, and ensure high-quality deliverables.

Skills

Snowflake
dbt
SQL
Python
Data Modeling
ETL/ELT
CDC
Azure data services
CI/CD
Snowpark

Tools

Git
CI/CD pipelines
Deployment automation

Job description

Anblicks in Dallas is seeking an experienced data engineer to lead the design, development, and optimization of scalable data pipelines using Snowflake and dbt. You will own end-to-end data solutions, from requirements analysis and data modeling through development, testing, and production deployment.

In this role, you will craft efficient data models and ELT/CDC workflows, push for robust data quality and monitoring, and drive engineering best practices.

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