Pax8

At Pax8, we care deeply about building genuine, trust‑based relationships — starting with how we hire.

Senior Data Engineer I

Data EngineerData EngineerFull TimeRemoteTeam 1,001-5,000

Location

United States

Posted

2 days ago

Salary

Not specified

PythonSQLApache SparkKafkaAirflowTerraformDockerKubernetesAWSRedshift

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

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.

  • 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.

Qualifications

  • 4 or more years of hands‑on data engineering experience.
  • 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.
  • Bachelor’s degree in a related field or equivalent experience required; Master’s degree preferred.

Requirements

  • 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.

Benefits

  • Recognized as one of Denver’s Best Places to Work.
  • Endless opportunities to grow and innovate.
  • A culture that values creativity, curiosity, and learning.
  • A supportive team that embraces individuality and authenticity.
  • Flexible remote work environment.
  • A place where hard work is celebrated—and fun is part of the formula.
  • Compensation range of $135,000 – $165,000 or more, depending on experience.

Job Requirements

  • 4 or more years of hands‑on data engineering experience.
  • 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.
  • Bachelor’s degree in a related field or equivalent experience required; Master’s degree preferred.
  • 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.

Benefits

  • Recognized as one of Denver’s Best Places to Work.
  • Endless opportunities to grow and innovate.
  • A culture that values creativity, curiosity, and learning.
  • A supportive team that embraces individuality and authenticity.
  • Flexible remote work environment.
  • A place where hard work is celebrated—and fun is part of the formula.
  • Compensation range of $135,000 – $165,000 or more, depending on experience.

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