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ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
Enlyft
Enlyft is seeking a lead data engineer to architect and develop scalable data platforms and large-scale distributed data processing systems. The role involves building data pipelines, designing high-performance data models, supporting machine learning pipelines, and implementing best practices for data quality and governance. The candidate will collaborate with data science teams, evaluate modern technologies, and mentor engineering staff.
Headquarters
Kirkland, Washington, United States
Company Size
11-50 employees
Founded
2014
Enlyft is the partner ecosystem intelligence platform for modern co-selling, serving technology vendors and channel partners such as MSPs, VARs, and distributors. It uses a proprietary Intelligence Graph — tracking 22,000+ technologies across 45M+ companies — to score accounts by real buying propensity and deliver ranked, signal-backed account lists to every seller. Its Pipeline Agent then researches accounts, builds account plans, and drafts co-sell outreach, and powers programs including Microsoft's CloudAscent, AWS, Dell, and Pax8.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Enlyft.
5% below the average for this role