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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Engineer - **Company:** DRML HOLDINGS LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon S3, Business Logic, Continuous Integration, Data as a Services, Data Dictionary, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Data Intelligence, Python (Programming Language), Automation of Marketing, Operational Databases, SQL Databases, Snowflake, Build Management, Restful APIs, Webhooks - **Published:** May 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1f90493ccd9d8de7 ## About the Role Do you have experience in Tooling?, This role is best suited for individuals who thrive in a fast-paced, entrepreneurial environment and bring a proven track record of delivering results through strong partnership and influence. * Vision - the ability to zoom out, define what "good" looks like, and clearly communicate that direction across and beyond the organization. * Strategic problem solving - the ability to translate vision into action by breaking complex opportunities or challenges into simple, executable strategies. * Grounded Leadership - the ability to lead with confidence in direction while demonstrating humility in execution, taking ownership, seeking input, and adapting as new information emerges. * Accountability and collaboration - the ability to take ownership of outcomes while motivating others to work effectively across the organization and setting clear expectations. * Grit - the willingness and ability to overcome challenges, move beyond ideas, and consistently drive results., Applicants must be legally authorized to work in the United States. HCEsquared® does not sponsor or assume sponsorship of employment visas., * 7+ years in data or platform engineering, with proven ownership of production data infrastructure * Expert SQL and deep hands-on Snowflake experience (required, not preferred - it's our warehouse of record) * Strong experience with dbt or a similar SQL transformation framework - modeling, testing, documentation, and CI/CD * Experience configuring and operating pipeline tooling such as Fivetran, Airbyte, or Segment at scale * Strong hands-on AWS experience (our cloud), including data services like S3, Glue, Lambda, or EMR. Other clouds are a plus but not a substitute. * Strong Python skills for custom pipelines and automation * Experience integrating CRM, marketing automation, event, or content platforms via REST APIs, webhooks, or event streams * Healthcare experience - especially pharmaceutical claims, HCP, or health system data - is a strong plus * Able to explain architecture decisions clearly to non-technical stakeholders ## Description We're hiring a Principal Data Engineer to build and own the data foundation powering HCEsquared's growth. We're a PE-backed specialty healthcare education platform, currently focused on dermatology and expanding into additional medical specialties. Youwill be building towards a mature platform, one that scales with the company. You'll design and build the infrastructure that unifies our engagement platforms, CRM, conference technology, and third-party healthcare data on Snowflake (our warehouse of record) and AWS. Our analytics and data science teams - and the commercial data products we sell to pharmaceutical sponsors - depend on what you build. If you want to own infrastructure where clean pipelines translate directly into sponsor revenue, clinical personalization, and business decisions, this is the role. ACCOUNTABILITY * Critical pipelines run reliably at high uptime; analytics and data science are never blocked by engineering failures * Core data sources flow into the warehouse with clean, tested, documented transformations * Claims and HCP intelligence data are ready for downstream analytics and commercial measurement * Engineering standards, data dictionary, and technical documentation stay current * The platform scales reliably as we add new sources, products, and specialty markets * Enable data-informed decision-making across the business, * Design, build, and maintain ETL and reverse-ETL pipelines connecting our MarTech and healthcare data stack - CRM, marketing automation, event management, content platforms, and third-party healthcare data - into the cloud data warehouse. * Own the cloud data warehouse and its transformation layer - staging, business logic, and mart tables - keeping data clean, documented, and performant for analytics and data science. * Integrate specialty healthcare datasets - pharmaceutical claims and HCP intelligence - with our first-party engagement data, building the joins and transformations that make them actionable for commercial measurement and clinical personalization. * Define and enforce engineering best practices - code standards, testing, documentation, schema governance, and data dictionary - so analytics and data science can move fast without breaking things. * Monitor, troubleshoot, and optimize pipeline performance, resolving data quality and availability issues before they block analytics. * Stay current with the modern data stack and introduce new tools - connectors, transformation frameworks, orchestration, or ML compute - as we scale. * Partner with analytics, data science, product, and commercial teams to turn business requirements into reliable, scalable solutions - making data accessible, never the bottleneck. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Webhooks: The Future of Scalable API Event Delivery](https://www.wearedevelopers.com/videos/100312-beyond-webhooks-the-future-of-scalable-api-event-delivery) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)