Data Pipeline Engineer
The overview
Chassi is an AI-powered operational analytics platform that helps companies uncover hidden inefficiencies and optimize their core business processes. Purpose-built for PE-backed companies and funds, Chassi provides real-time insights into how businesses operate, enabling executives and managers to make data-driven decisions with confidence.
We are a unique team of individuals from all walks of life—from the elite ranks of SEAL Team 6 to the realms of education and construction. We all share the same drive to chase ambitious challenges and embrace calculated risks. We know that start-ups aren't for everyone; they demand a special kind of person who can voluntarily navigate the uncertainty and ambiguity inherent in such a dynamic environment. At Chassi, we don't just tolerate this uncertainty—we thrive on it, pushing our boundaries every single day. We seek exceptionally talented individuals who possess this "Chassi mindset" to join us in our relentless pursuit of groundbreaking solutions.
The opportunity
We are looking for an experienced Data Pipeline Engineer to design, build, and maintain the data pipelines that help us support our customers. As part of a small team, you’ll have the opportunity to own projects from end to end, make key technical decisions, and directly see the impact of your work. You won’t be just another cog in the machine. Your contributions will play a critical role in ensuring our data infrastructure is robust and efficient. This is a hands-on role where collaboration, adaptability, and a customer-first mindset are essential.
At this time, we are only able to consider candidates who are eligible to work in the United States without employer sponsorship.
The must-haves
- 5–7 years of professional experience in data engineering, software engineering, or a related field.
- Proficiency with at least one data scripting language (e.g., Python).
- Experience with a “preferred” object-oriented programming language such as C#, C++, or Java.
- Proven ability to design and implement data pipelines in production environments.
- Strong understanding of database systems (SQL and NoSQL).
- Experience with data integration tools, APIs, and cloud-based data platforms.
- Excellent problem-solving skills and ability to work in a fast-paced, evolving environment.
The responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Implement best practices for data quality, governance, and security.
- Monitor, troubleshoot, and improve the performance of existing data systems.
- Ensure timely and accurate data delivery across multiple projects and stakeholders.
Your impact
- You’ll be instrumental in driving value to our customers, enhancing the product, and expanding the market.
- You’ll get in on the ground floor of a growing startup and gain unprecedented visibility into funding and scaling.
- You’ll have unlimited advancement opportunities to carve your career path here.
The benefits
- Salary Range: $120,000 – $160,000
- Equity: You will have the chance to be an owner in Chassi and make a bet on yourself and the impact you can have on the company.
- Medical, Vision, Dental Insurance paid for 100% by Chassi for you and your dependents.
- Unlimited PTO: Take the time you need to show up as your best self for Chassi.
- Work from wherever: We’re based in Scottsdale, AZ, but our team is dispersed across the country.
- Learning: Continually learning and bettering yourself is one of Chassi’s core pillars. So, if there’s a conference, course, or training you want to attend, we’ll cover it.
Our company is committed to equal employment opportunity. We will not discriminate against employees or applicants for employment on any legally-recognized basis, including, but not limited to: veteran status, race, color, religion, sex, national origin, age, physical or mental disability, genetic information, or any other protected status. Our company will make reasonable accommodations for qualified individuals with disabilities.
