> Markdown version of [/jobs/ext/1275544-principal-data-engineer](https://www.wearedevelopers.com/jobs/ext/1275544-principal-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Engineer - **Company:** GoodRx - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $207,000.0 - $331,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Apache HTTP Server, JIRA, Big Data, Continuous Integration, Corona (Software Development Kit), Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Distributed Systems, Github, Google Analytics, Machine Learning, Meta-Data Management, Software Tools, Standard Sql, Cloud Platform System, System Availability, Containerization, Data Lakes, Data Analytics, Data Management, Terraform, Docker, Databricks - **Published:** July 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8a79b414b6ba0281 ## About the Role * 10+ years of experience in data engineering, including demonstrated experience defining technical strategy and influencing engineering organizations beyond a single team. * Experience with one of the cloud environments - AWS, GCP. * Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. * Experience designing, building, and evolving enterprise-scale data platforms that support multiple engineering teams, analytics, and machine learning workloads. * Ability to quickly learn complex domains and new technologies. * Innately curious and organized with the drive to analyze data to identify deliverables, anomalies and gaps and propose solutions to address these findings. * Experience designing data models that have been implemented in production. * Strong experience in writing complex SQL and ETL development with experience processing large data sets. * Familiarity with AWS Services (Redshift, RDS, EKS, S3, EMR, Glue, Lambda). * Experience evaluating and applying AI-assisted engineering tools and modern data platform technologies to improve engineering productivity and platform reliability. * Experience with modern software development, infrastructure-as-code, containerization, and CI/CD tooling (e.g., GitHub, Docker, Terraform, CodeFresh, Jira). * Experience contributing to full lifecycle deployments with a focus on quality and scalability. Good To Have: * Experience with session data such as Google Analytics & Segment. * Experience related to data privacy like CCPA & GDPR (Data deletion, data de-identification, Right to forget and such). * Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement. * Experience with lakehouse architectures (Delta Lake, Apache Iceberg, or similar), metadata management, or enterprise data governance platforms. * AWS/Databricks/GCP or similar certifications. Engineering teams are responsible for supporting appropriate security controls, including management, operational, and technical controls in addition to general GoodRx best practices, such as reading and adhering to the security policies and procedures, being vigilant and observant of potential security threats, etc. ## Description AI is a core part of how we operate, and as a Principal Data Engineer you are expected to help define how AI is applied responsibly across our data platform and engineering practices. You evaluate emerging AI technologies pragmatically, identifying opportunities to improve developer productivity, platform operations, data quality, and engineering efficiency. You establish engineering best practices for AI-assisted development, ensuring solutions remain scalable, maintainable, secure, and aligned with GoodRx engineering standards. Responsibilities: * Define the long-term technical vision and architecture for the Data Platform, partnering with Product, Engineering, Data Science, and Analytics leaders to align platform investments with business strategy. * Provide technical leadership and mentorship across multiple engineering teams, influencing architectural decisions, raising engineering standards, and developing future technical leaders. * Lead the architectural evolution of the data platform to improve scalability, reliability, operational efficiency, and long-term maintainability. * Drive investments in developer experience, platform tooling, CI/CD automation, observability, and self-service capabilities that improve engineering productivity and platform reliability. * Develop architectural proposals, technical standards, and engineering design documentation that guide long-term platform strategy and evolution. * Lead complex platform modernization initiatives, large-scale migrations, and architectural transformations with minimal disruption to the business. * Establish organization-wide standards for data architecture, engineering quality, platform governance, and reusable engineering patterns. * Drive long-term engineering and platform strategy through data-informed decision-making, balancing scalability, reliability, cost efficiency, and developer productivity. * Lead enterprise-scale platform initiatives that enable analytics, machine learning, AI workloads, and scalable product development across GoodRx. ## Related Videos - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)