You will take ownership of complex technical problems across our data platform, partnering with engineering, product, data, and ML teams to deliver scalable and reliable solutions. You’ll contribute to architectural decisions, drive projects from design through production, and help improve the quality, performance, and maintainability of the systems your team owns.
This is an opportunity to work on foundational infrastructure at the center of our company’s mission to make user data more actionable and valuable. The ideal candidate is a backend engineer who enjoys solving complex distributed systems and data challenges, taking meaningful ownership, and helping the engineers around them do their best work.
This hybrid role is based in our New York office, with in-office collaboration Tuesday through Thursday each week.
What You’ll Accomplish
Design, build, and evolve high-scale backend systems responsible for the ingestion, processing, storage, and serving of Shopper Data Platform and attributes.
Own complex engineering projects end-to-end, translating product and business requirements into scalable technical designs and driving them from implementation through successful operation in production.
Develop and improve APIs, streaming pipelines, and platform capabilities that enable teams across the company to safely and efficiently build on user-profile data.
Improve the scalability, reliability, data quality, observability, and performance of systems processing large volumes of user and event data.
Partner with product, data, and ML teams to deliver user attributes and data capabilities supporting segmentation, personalization, revenue attribution, behavioral analytics, and machine learning.
Contribute to technical design and engineering standards through design reviews, thoughtful architectural decisions, mentorship, and hands-on development of technically challenging work.
Your Expertise
6+ years of professional software engineering experience, with experience designing and operating backend or distributed systems at scale.
Strong experience with data ingestion, processing, and streaming architectures, including systems handling large volumes of user, event, or similarly high-cardinality data.
Strong programming and software-design skills in Java or similar backend languages, with a solid understanding of distributed systems, scalability, reliability, performance, and observability.
A track record of owning complex technical projects end-to-end, from design and implementation through deployment and production operation.
Strong problem-solving and technical judgment, with the ability to evaluate tradeoffs, identify opportunities for improvement, and build pragmatic solutions that balance product needs with long-term system health.
Strong communication and collaboration skills, with experience working across teams, mentoring other engineers, and contributing to technical decisions and engineering best practices.
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants
The US base salary range for this full-time position is $178,400 - $267,600 annually + equity + benefits
Our salary ranges are determined by role, level and location
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If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.
At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.
