Senior Data​/Backend Engineer

Engineering | New York City - Hybrid (3-4 days/week) | Full-Time

We are looking for a Senior Data / Backend Engineer to work as a member of our core development team as we scale to 1k+ integrated clients. You have experience constructing large scale data pipelines, orchestrating workflows for production and analytics, and using event-driven techniques for near real-time processing. You love working across systems, account for the ramifications of design choices, and identify efficiency improvements.

Malachyte is building a frontier personalization engine that adapts the internet in real time — making every visitor feel understood from their very first click. Our founding team brings decades of deep expertise from roles at Spotify, Priceline, BCG, Google and more.

Malachyte's journey starts with e-commerce companies who rely on their websites to help consumers discover and satisfy their intent. Our innovative solutions are a blend of advanced infrastructure, deep learning, and next-gen user experience to deliver value within weeks.

Once set-up, our technology instantly personalizes every experience in real-time, making browsing and searching more relevant for every visitor from their first interaction (no login or history required!).

We're still in the early stages of company building — this is for you if you want to drive impact and define what the next stage of your career will look like.

• Evolve our engine to support new types of data ingress (e.g. third-party platforms, agentic protocols, etc)
• Build, operate, and monitor data pipelines on this platform for cost and quality
• Engage with clients for initial integration and support
• Collaborating across domains — ML, frontend, etc — to ensure near real-time experiences

5+ years of data engineering experience in production environments of batch and streaming pipelines at scale (e.g. millions to billions of rows, high throughput)

Expertise with Shopify and/or Commerce Cloud data platforms

3+ years of experience with workflow orchestration tools (e.g. Airflow)

Expertise within Google Cloud Platform, preference for experience with multiple cloud providers (e.g. AWS & Azure)

2+ years of experience deploying microservice architecture using Kubernetes orchestration

Familiarity with best practices on data governance

Strong Python background and familiarity with Google Cloud Platform

Familiarity with basic ML / AI concepts (i.e. embeddings, inference, etc)

Strong communication and engagement skills to work with non-technical people

Past experience mentoring and/or managing more junior engineers

• Equity: provided as part of the offer, based on experience
• 100% health insurance (you + all dependents) via Aetna Gold Plan; option to upgrade to Platinum
• 401K with 4% employer match
• Transit benefit: up to $200 / month
• 20 days paid leave + 5 days sick leave
• Company on-sites and team events
• Remote flexibility — minimum 3 days / week