Data Engineer

Aspen Group, Inc
Chicago, IL, United States
21 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$130,000.0 - $160,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow BigQuery Cloud Computing Cloud Storage Code Review Continuous Integration Directed Acyclic Graph (Directed Graphs) Information Engineering Data Governance Data Infrastructure Data Profiling
+19 more
Data Systems Data Warehousing DevOps Distributed Systems Python (Programming Language) Performance Tuning Cloud Services Software Engineering SQL Databases Workflow Management Systems Google Cloud Large Language Models Event Driven Architecture Information Technology Google Bigquery Data Management Terraform Data Pipelines Pagerduty

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., 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

Requirements

  • 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 (Google Cloud Platform)
  • 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, * Bachelor’s degree in Computer Science, Mathematics, or Software Engineering
  • Master’s degree (preferred, not required)
  • Relevant certifications a plus

Benefits & conditions

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.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

Videos

See all

Related articles

See all