Senior Data Engineer

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 one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

Job Description

The Senior Data Engineer designs, builds, and operates data pipelines and platform infrastructure across multi-brand data platforms that power business insights and decision-making. This is a senior technical role driving data engineering initiatives using dbt Cloud, Python, Airflow, and Google BigQuery ensuring best practices in data modeling, pipeline orchestration, platform scalability, and data governance, while bringing modern AI-assisted engineering practices into the team's day-to-day work. The Senior Data Engineer will mentor other engineers, drive engineering excellence, and collaborate with cross-functional teams to design and implement high-performance data solutions.

Key Responsibilities

• Data Platform Architecture & Development Design, develop, and optimize scalable, cloud-native data platforms on Google Cloud (BigQuery, Cloud Storage, Pub/Sub, etc.)
• Establish best practices for data modeling, performance tuning, and cost optimization in BigQuery.
• Lead development of efficient ELT pipelines using dbt Cloud, Python, and Airflow
• Develop dbt models, tests, and documentation.
• Responsible to own data governance, data quality, security, and compliance standards across owned pipelines.
• Own feature delivery end-to-end, from design through production, including code review standards.
• AI & Engineering Excellence Champion AI-assisted engineering (code review, documentation, data profiling) to boost team velocity and quality
• Build reusable tooling and playbooks that codify best practices for the broader team
• Evaluate and pilot emerging AI/LLM tools and workflows, recommending adoption where they improve engineering quality or speed
• Reliability, Operations & Cloud Monitor and optimize BigQuery cost/performance, remediate anti-patterns (unclustered scans, credential misuse)
• Triage production issues quickly and consistently, participate in on-call and incident response, including PagerDuty-to-incident.io migration work
• Maintain observability (dashboards, alerting, freshness checks) and manage infrastructure as code (Terraform) for pipelines, DAGs, and Cloud Functions
• Partner with security teams to resolve data governance and security findings (PII exposure, access controls)
• Collaboration Partner with brand stakeholders and third-party integration partners, enforcing access and environment guardrails
• Work closely with data analysts, data scientists, and business teams to translate business needs into scalable data solutions
• Mentor engineers on data engineering, dbt/SQL, and AI-assisted development practices

Qualifications & Experience

• 3+ years of experience in Sr data engineering experience.
• 3+ years of experience in data engineering
• Strong expertise in SQL, Python, dbt, and Airflow/Cloud Composer.
• Hands-on experience designing scalable, cost-efficient data platforms in Google Cloud (GCP)
• Deep understanding of data warehousing, ELT architectures, and distributed computing
• Experience with orchestration tools like Airflow and event-driven architectures
• Strong knowledge of CI/CD, infrastructure as code (Terraform), and DevOps principles
• Ability to mentor data engineers and influence technical strategy
• Educational Qualifications Bachelor's degree in Computer Science, Mathematics, or Software Engineering
• Master's degree (preferred, not required)
• Relevant certifications a plus

Annual Salary Range: $130,000-$160,000/year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.

If you are an applicant residing in California, please view our privacy policy here: https://careers.aspendental.com/us/en/tag-privacy-policy-for-california-employees

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 16,000 healthcare professionals and team members at more than 1,200 health and wellness offices across 46 states in four distinct categories: Dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, Clear Choice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and AZPetVet. Each brand has access to a deep community of experts, tools, and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

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