Job Description

Posted on:

October 28, 2024

Pax8 is the leading cloud-based technology marketplace, simplifying the cloud journey for our partners by integrating technology, business intelligence, and proactive service to deliver an unparalleled experience. We serve thousands of partners through the indirect sales channel with a mission to build the technology marketplace of the future. As a fast-growing, dynamic, and high-energy startup organization, you’ll have the opportunity to make a meaningful impact on the business. Culture is important to us; at Pax8, it’s business, and it IS personal. We are passionate, creative, and humorously offbeat, working hard while keeping it fun and expecting the best. We Elev8 each other, Advoc8 for our partners, Innov8 continuously, and Celebr8 life. Pax8 is a place you can call home, and we encourage you to apply, even if you don’t meet 100% of the bullet points, as we value diverse perspectives for a thriving and inclusive environment. We embrace hybrid and remote work whenever possible. This posting is for a potential future opening; the Lead Generation team hires regularly.

Position Summary: The Data Engineer I helps to develop systems that collect, transform, store, and manage data for end users, involving the routine application of well-documented techniques. They work with technical leaders to prepare detailed plans, typically spanning several weeks, and conduct simple investigative analyses and tests.

Essential Responsibilities:

  • Learn coding techniques and standards, applying them to work
  • Build pipelines to ingest new data sources and transform data to support varied use cases
  • Optimize existing data pipelines and improve code quality
  • Write unit and integration tests
  • Collaborate with peers to solve pressing data issues and participate in on-call rotation

Ideal Skills, Experience, and Competencies:

  • 1-3 years of relevant data engineering experience
  • Moderate experience with Python and intermediate experience with SQL
  • Experience with data modeling and exposure to a JVM language
  • Familiarity with distributed processing engines like Apache Spark and stream processing frameworks like Apache Kafka
  • Exposure to infrastructure tooling such as Terraform, Docker, and Kubernetes
  • Experience with cloud data tools like S3, Glue, and Athena
  • Ability to build partnerships and work collaboratively to meet shared objectives
  • Desire to seek new ways to grow through formal and informal development challenges
  • Ability to effectively absorb and apply peer feedback

Required Education & Certifications:

  • Bachelor's degree in a related field or equivalent work experience

Compensation:

Qualified candidates can expect a salary beginning at $105,000 or more, depending on experience. Note: Compensation is benchmarked on local Denver Metro area market rates, and qualified candidates in other locations can expect a salary package adjusted based on applicable wage costs in their respective location.

At Pax8, we believe that your Total Rewards should include a benefits package that reflects how much we value our greatest assets. All FTE Pax8 employees enjoy:

  • Non-Commissioned Bonus Plans or Variable Commission
  • 401(k) plan with employer match
  • Medical, Dental & Vision Insurance
  • Employee Assistance Program
  • Employer Paid Short & Long Term Disability, Life and AD&D Insurance
  • Flexible, Open Vacation & Paid Sick Time Off
  • Extended Leave for Life events
  • RTD Eco Pass (For local Colorado employees)
  • Career Development Programs
  • Stock Option Eligibility
  • Employee-led Resource Groups

Pax8 is an EEOC employer. We welcome individuals who meet the appropriate requirements to work within the country the role is based in. Offered individuals will undergo identity, security compliance, and reference checks, ensuring your privacy is upheld in accordance with data privacy best practices during our recruiting processes.

Secret insights

Pax8 is booming with 60% growth in just 2 years! Engineering up 25% shows strong tech focus. HR at 15%, indicating they care about team. Perfect for AI talent seeking rapid expansion and support!