Senior Data Engineer: AI-Driven Data Platform on GCP

0507 Team TAG Services, LLC; United States; On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Paid time off

Health insurance

Dental insurance

Vision insurance

401(k) with match

Job summary

The Aspen Group (TAG) is hiring a Senior Data Engineer to design, build, and operate data pipelines and platform infrastructure across multi-brand data platforms powering business insights.

You will use dbt Cloud, Python, Airflow, and Google BigQuery to ensure scalable, governed data solutions while mentoring other engineers and collaborating with analysts, scientists, and business teams.

Qualifications

• 3+ years of senior data engineering experience.
• 3+ years of data engineering experience.
• Strong expertise in SQL, Python, dbt, and Airflow.
• Hands-on with scalable data platforms on Google Cloud.
• Knowledge of data warehousing, ELT, and CI/CD practices.
• Educational background in CS/Math/SE; certifications are a plus.

Responsibilities

• Design, build, and operate scalable cloud-native data platforms on Google Cloud.
• Establish data modeling, performance tuning, and cost optimization in BigQuery.
• Lead ELT pipeline development using dbt Cloud, Python, and Airflow.
• Develop dbt models, tests, and documentation.
• Own data governance, quality, security, and compliance across pipelines.
• Collaborate with security and product teams; mentor engineers.

Skills

SQL

Python

dbt

Airflow

BigQuery

Terraform

CI/CD

Education

Bachelor's degree in Computer Science, Mathematics, or Software Engineering

Master's degree (preferred, not required)

Tools

dbt Cloud

Google Cloud BigQuery

Airflow / Cloud Composer

Terraform

CI/CD tooling

Job description

The Aspen Group (TAG) is hiring a Senior Data Engineer to design, build, and operate data pipelines and platform infrastructure across multi-brand data platforms powering business insights.

You will use dbt Cloud, Python, Airflow, and Google BigQuery to ensure scalable, governed data solutions while mentoring other engineers and collaborating with analysts, scientists, and business teams.