Senior Data Engineer I

Pax8

1d•$135,000 - $165,000•Remote

About The Position

Senior Data Engineer I 📍 Remote – United States 🕒 Full‑Time | 💼 Experienced Level ⭐ Elev8. Advoc8. Innov8. Celebr8. At Pax8, we’re transforming the cloud marketplace — and data is the engine that powers everything we do. We help technology professionals buy, sell, and manage cloud solutions with ease, and data is at the core of delivering those intelligent, seamless experiences. We’re growing fast and looking for a Senior Data Engineer I who thrives on building scalable systems, solving complex challenges, and mentoring others. If you are energized by innovation, curiosity, and meaningful impact, we’d love to meet you. ⚡ The Impact You Will Make As a Senior Data Engineer I, you will design and build the data systems that enable smarter decisions, deeper insights, and scalable growth across Pax8. You will shape foundational data architecture, guide technical approaches, and partner closely with teams across the business.

Requirements

Experience 4 or more years of hands‑on data engineering experience.
Technical Skills Advanced proficiency in Python and Structured Query Language Experience with Apache Spark, Kafka, and orchestration tools such as Airflow or Prefect Familiarity with cloud platforms (Amazon Web Services, Azure, or Google Cloud) Experience with infrastructure tools such as Terraform, Docker, or Kubernetes Strong understanding of analytical databases such as Redshift, Athena, or BigQuery
Mindset & Competencies:
Growth mindset — You stay curious and adapt quickly.
Strong problem‑solving — You can break down complex issues elegantly.
Collaboration excellence — You work well across engineering, data, and business teams.
Clear communication — You express ideas simply and effectively.
Innovation and ownership — You care deeply about quality and continuous improvement.
Education Bachelor’s degree in a related field or equivalent experience required. Master’s degree preferred.

Nice To Haves

Master’s degree preferred.

Responsibilities

Design and build data pipelines
Create, optimize, and maintain robust data pipelines using Python and Structured Query Language.
Transform and manage data
Develop scalable transformations and models to support analytics, product, and operational teams across the business.
Lead and mentor
Guide junior engineers, promote clean and testable code, and share best practices to elevate the team.
Improve deployment and tooling
Enhance deployment workflows and contribute to strong continuous integration and continuous delivery pipelines.
Shape data architecture
Collaborate on long‑term architecture decisions and project planning efforts that influence the future of our data platform.
Troubleshoot and support
Resolve issues across pipelines and platforms, and participate in on‑call rotation to keep systems healthy and supported.