Senior Data Engineer

Posted 3 Days Ago
Chicago, IL, USA
Hybrid
130K-160K Annually
Senior level
Healthtech • Pet • Professional Services • Retail • Telehealth
TAG - The Aspen Group is one of the largest and most trusted retail healthcare business support organizations in the US.
The Role
Designs, builds, and operates scalable data platforms and ELT pipelines across Google Cloud using dbt, Python, Airflow, and BigQuery. Responsibilities include data modeling, governance, security, cost optimization, observability, infrastructure as code, incident response, and end-to-end feature delivery. The role pilots AI-assisted engineering practices, develops reusable tooling, collaborates with business and technical stakeholders, and mentors data engineers.
Summary Generated by Built In

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

Skills Required

  • 3+ years of senior data engineering experience
  • 3+ years of data engineering experience
  • Strong expertise in SQL, Python, dbt, and Airflow or Cloud Composer
  • Hands-on experience designing scalable, cost-efficient data platforms in Google Cloud Platform
  • Deep understanding of data warehousing, ELT architectures, and distributed computing
  • Experience with orchestration tools such as Airflow and event-driven architectures
  • Strong knowledge of CI/CD, Terraform infrastructure as code, and DevOps principles
  • Ability to mentor data engineers and influence technical strategy
  • Bachelor's degree in Computer Science, Mathematics, or Software Engineering
  • Master's degree
  • Relevant certifications

TAG - The Aspen Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about TAG - The Aspen Group and has not been reviewed or approved by TAG - The Aspen Group.

  • Healthcare Strength Multiple medical plan choices with defined costs, HSA support, and accessible plan documents indicate a robust health offering. Distinctive features like GLP‑1 coverage on the HSA plan and clear SBCs add clarity for election decisions.
  • Retirement Support A clearly outlined 401(k) program features an immediately vested employer match with explicit eligibility timing. Consistent references to the plan and enrollment resources across brand sites underscore ease of access.
  • Affordable Benefits Dental-care discounts through the Aspen Dental network—free preventive services and reduced rates for procedures—help lower out‑of‑pocket costs. Additional perks like brand discounts and pet insurance can further stretch total value for some roles.

TAG - The Aspen Group Insights

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The Company
HQ: Chicago, IL
25,000 Employees
Year Founded: 1998

What We Do

When we helped launch Aspen Dental, we set out to break down the barriers that made it hard for patients to keep up with their dental health — affordability, transparency, and access. We knew the key to better patient care started with the provider, so we changed how the dental business worked. We built new relationships, expertise, and tools to help dentists run their businesses more effectively and better care for their patients. Fast forward, and over 25 years later, we support more than 1000 Aspen Dental locations—by doing so, we are proud to say we have changed access to dental care nationwide. But there’s more work to do. Healthier, happier smiles were just our beginning. We came together to launch TAG – The Aspen Group, officially expanding beyond dental and embracing a new vision. By bringing together Aspen Dental, Chapter, ClearChoice, WellNow, and Lovet into one family of brands, we set out to achieve one simple goal together: to bring better healthcare to more people - because we believe in a future where health and wellness is accessible for all. With that mission in mind, TAG now supports over 5,300 clinicians across more than 1,400 locations. While our vision is now broader, how we achieve it remains the same. The best care starts with the provider - and TAG exists to power them so they can meet patients where they are, no matter their specialty, and deliver better care. Because we know that at the end of the day, better healthcare is simple — empower the provider and their teams, and the rest will follow. United as one group, we’re not just breaking down barriers; today, we’re breaking through. We’re challenging the status quo. Together, we can prove healthcare can be better for both providers and patients. Together, we can bring better healthcare to more people.

Why Work With Us

TAG - The Aspen Group employs and/or supports over 25,000 healthcare professionals and team members at more than 1,400 health and wellness offices across 46 states in four distinct categories: Dental care, urgent care, medical aesthetics, and animal health. Every day we wake up to empower providers to do what they do best: focus on the patient.

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