Principal Data Engineer

Job not on LinkedIn

🕒 October 14

🐊 Florida, Illinois, +6 more states – Remote

🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote 🍑 Georgia – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 32 days.
• Reposted once.
• No salary listed.

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(RED)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2006

🤲 Charity

🌍 Social Impact

Charity • Social Impact

(RED) is a nonprofit organization that partners with iconic consumer brands and public figures to raise money, awareness, and urgency in the fight against AIDS and the broader injustices that enable pandemics. Since 2006, (RED) has used cause-marketing—creating (RED)-branded products, campaigns, and retail partnerships—to generate donations for the Global Fund; the company reports raising over $800M and helping more than 350 million people through HIV programs. (RED) operates fundraising channels (donations, partner product sales, crypto and Tiltify campaigns), runs advocacy and educational programs, and leverages corporate partnerships to fund life‑saving HIV prevention, treatment, and health-system strengthening.

📋 Description

• Own and evolve the technical direction of the data engineering platform, including architecture, standards, and long-term platform evolution • Design and guide scalable, reliable data pipelines and platform capabilities supporting analytics and AI use cases • Lead modernization of the data platform toward scalable, managed solutions • Champion AI-assisted engineering and define how AI-generated code is reviewed, tested, and deployed • Design and build an end-to-end AI-driven development pipeline connecting AI agents and tools across planning, coding, testing, code review, CI/CD, and deployment • Define and enforce engineering standards, version control workflows, code review practices, automated testing, and CI/CD • Build and improve observability across production data environments, including monitoring, alerting, logging, and lineage • Improve platform reliability, testing practices, and data quality across production systems • Create reusable frameworks, architecture patterns, and best practices for the wider data engineering function • Partner with machine learning and related technical teams to support AI platform enablement and shape MLOps practices • Collaborate with Data Engineering, Analytics Engineering, and business stakeholders to align technical solutions with business and platform needs • Contribute hands-on to foundational services, frameworks, and platform capabilities • Perform all other duties assigned

🎯 Requirements

• 10+ years of experience in data engineering or related data platform roles • Experience designing and evolving modern data platforms, pipelines, and architecture • Strong SQL and Python skills • Hands-on, daily use of AI coding tools such as Claude Code, Cursor, or Codex, with a track record of driving their adoption across an engineering team • Experience designing or building AI-driven development workflows integrating AI agents and coding tools into testing, code review, and CI/CD • Git-based version control, code review, and automated testing, including unit, integration, and data quality tests • Experience building and maintaining CI/CD pipelines for data and platform code • Familiarity with Scala, Maven, and Bitbucket Pipelines • Strong experience implementing observability in production data environments, including monitoring, alerting, logging, and lineage • Proven ability to improve reliability and data quality in production data systems • Experience with cloud-based data platforms and managed services across a modern data stack • Experience establishing engineering standards, architecture patterns, and reusable technical frameworks • Experience enabling AI use cases through strong data engineering foundations • Proven ability to operate independently and lead technical direction with a high degree of autonomy • Must currently reside full-time in FL, GA, IL, NY, NC, PA, TN, or TX • Preferred: experience with GCP, including BigQuery • Preferred: experience with dbt or other modern data transformation frameworks • Preferred: Ops or DevOps knowledge, including Cloud Run and Kubernetes • Preferred: exposure to MLOps concepts and collaboration with machine learning engineers • Preferred: experience building AI agents and agentic workflows, including Model Context Protocol (MCP) servers • Preferred: familiarity with RAG, embeddings, vector search, and evaluating and monitoring AI systems in production • Preferred: experience with DataOps practices and modern platform operating models • Preferred: experience in travel, hospitality, consumer platforms, or recommendations and personalization use cases • Preferred: strong stakeholder communication and cross-functional collaboration skills

🏖️ Benefits

• Fully remote work arrangement • Occasional in-person meetings or team gatherings • Equal Opportunity Employer and inclusive workplace environment

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