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. Serving thousands of partners through the indirect sales channel, our mission is to build the technology marketplace of the future. We are a fast-growing, dynamic and high-energy startup organization, allowing you to make a meaningful impact on the business. Culture is important to us, and at Pax8, it’s business, and it IS personal. We are passionate, creative and humorously offbeat. We work hard, keep it fun, and expect the best.

We Elev8 each other. We Advoc8 for our partners. We Innov8 continuously. We Celebr8 life.

No matter who you are, Pax8 is a place you can call home. We know there’s no such thing as a “perfect candidate, so we don’t look for the right fit – instead, we look for the add. We encourage you to apply for a role at Pax8 even if you don’t meet 100% of the bullet points. We believe in cultivating an environment with a diversity of perspectives, in hopes that we can all thrive in an inclusive environment.

We are only as great as our people. And we have great people all over the world. No matter where you live and work, you’re a part of the Pax8 team. This means embracing hybrid- and remote-work whenever possible.

Position Summary:

As a Data Engineer I, youll be diving into the exciting world of building data systems that drive critical insights and decision-making across Pax8. This role is perfect for someone who enjoys working with big datasets, has a passion for problem-solving, and thrives on collaboration. Youll have the opportunity to interface with stakeholders like Product Managers and business teams to gather requirements, ensuring the data solutions we build are aligned with business needs. Your work will directly impact end users, creating data flows and analytic processes that make a difference.

You’ll be at the heart of our data operations, helping to build and maintain data pipelines that fuel analytic workflows and processes. Your tasks will include developing systems that efficiently collect, transform, store, and manage data using well-documented techniques. You’ll work alongside experienced technical leaders to plan and execute detailed tasks. You’ll also conduct simple investigative analyses and tests to ensure the data is reliable and meets business requirements. Working with stakeholders, you’ll gain a deep understanding of their needs, helping shape visual solutions for tools like PowerBI. Your insights will contribute to improving data visualizations and stakeholder reporting. You’ll also contribute to data modeling efforts, ensuring our data infrastructure is optimized for analytics and reporting.

To succeed in this role, youll need strong technical chops in SQL and Python, with experience using data frame tools like Pandas and Numpy. A solid understanding of object-oriented programming (OOP) principles and a proven ability to apply them in developing clean, efficient, and scalable solutions will be crucial. You’re familiar with big databases like Redshift, BigQuery, Presto, or Hive and have some experience with data orchestration tools such as Airflow or AWS Glue. A solid understanding of dimensional modeling will set you up for success in designing effective data structures. You’ll have strong communication skills, allowing you to effectively interface with stakeholders and gather requirements. Stakeholder management will be crucial as you translate business needs into technical solutions. Experience in B2B, Retail, or SaaS industries is a plus, giving you the context to better understand the business side of the role.

Essential Responsibilities:

Learns coding techniques/standards and applies them to their work
Define, build, test, and implement scalable data pipelines using Python and SQL
Transforms data to support varied use cases
Optimizes existing data pipelines and improves existing code quality
Writes unit and integration tests
Works collaboratively with peers to solve pressing data issues
Participates in on-call rotation

Ideal Skills, Experience, and Competencies:

At least one (1) to three (3) years of relevant data engineering experience.
Intermediate experience with the Python programming language.
Intermediate experience with SQL.
Experience with Data Modeling.
Exposure to a JVM language.
Exposure to Apache Spark or other distributed processing engines.
Exposure to Apache Kafka or other stream processing frameworks.
Exposure to Terraform, Docker, Kubernetes, or other similar infrastructure tooling.
Exposure to job orchestration and/or ETL tools such as Airflow, Prefect, Glue, Talend, or Informatica.
Exposure to cloud environments such as AWS, Azure, or Google Cloud.
Exposure to analytical databases such as Redshift, Athena, Big Query, and Presto.
Ability to build partnerships and work collaboratively with others to meet shared objectives.
Ability to actively seek new ways to grow using both formal and informal development challenges.
Ability to effectively absorb and apply peer feedback.

Required Education & Certifications:

B.A./B.S. in a related field or equivalent work experience.

Compensation:

Qualified candidates can expect a compensation range of $93,000 to $115,000 or more depending on experience.

Expected Closing Date: 11/15/24

## LI-Remote ## LI-JF1 ## BI-Remote ## DICE-J

*** Colorado law requires an estimated closing date for job postings. Please dont be discouraged from applying if you see this date has passed ***

*Note: Compensation is benchmarked on local Denver Metro area market rates. Qualified candidates in other locations can expect a salary package that may be adjusted based off applicable cost of wages in their respective location.

At Pax8 we believe that your Total Rewards should include a benefits package that shows how much we value our greatest assets. All FTE Pax8 people enjoy the following benefits:

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.

Equal Opportunities

Pax8 is an equal opportunities employer and welcome individuals who are in possession of the appropriate requirements to work within the country the role is based in. Offered individuals will be asked to undertake identity, security compliance and reference checks. Your privacy is important to us. Your data will be held in accordance with Data Privacy best practices and processed only in accordance with our recruiting processes.

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