Data Engineer
Company: PartnerTap
Location: Seattle, WA (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-04-23
About this role
High-growth startup opportunity
PartnerTap is actively changing the way sales and channel teams work across organizations. We are automating and streamlining the painful steps channel professionals go through to effectively work with their partners. Our ever-growing platform is used by several of the largest enterprises in the market, including SAP Concur, ADP, HPE, and many more.
Being an innovation-focused company, we care about using the right tools for the best results and are open to implementing creative solutions and new technologies. We care about our clients’ needs and ensure our product is fit to support them.
Data Engineer
Location: Remote
Job Type: Full Time
Relocation: None
Post Date: April 10, 2023
Apply Now
About You
Your vast expertise in building and optimizing Big Data pipeline is not purely technical. You are able to contribute to team and company-wide decision making processes, and are able to identify challenges before they occur. You are passionate about introducing new algorithms and incorporating machine learning models into your work. You love building sustainable solutions from the ground up and want to make an impact on an entire company’s ability to deliver a smart and secure platform.
You love solving big problems with big ideas. You are excited by the prospect of optimizing and re-designing our company’s data architecture to support the next generation of products and data initiatives. You are independent, analytical, a quick learner, and enjoy working with people as smart as you are.
Responsibilities
- Work is at the core of the PartnerTap product
- Improve the overall quality of data that drives better partnerships
- Analyze, slice, and dice huge volumes of data to explore the opportunities for better matching
- Build and maintain an optimal data pipeline architecture
- Identify, design, and improve data processing, re-designing infrastructure for greater scala...