
201 - 500 employees
Founded 2013
📦 Logistics
📣 Marketing
đź’Ľ Consulting
đź’° $50M Series E - Shippo on 2021-06
Logistics • Marketing • Consulting
Shippo is a shipping and logistics API and SaaS platform for e-commerce businesses. It provides tools to compare carrier rates, create and buy shipping labels, track packages, and manage returns through a branded short domain and developer-friendly integrations. Shippo targets online retailers and marketplaces looking to streamline shipping operations and reduce fulfillment costs.
đź•’ February 25
🇺🇸 United States – Remote
đź’µ $212k - $287k / year
⏰ Full Time
đź”´ Lead
đźš° Data Engineer
🦅 H1B Visa Sponsor
đź‘» Ghost score 45%
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
Founded 2013
📦 Logistics
📣 Marketing
đź’Ľ Consulting
đź’° $50M Series E - Shippo on 2021-06
Logistics • Marketing • Consulting
Shippo is a shipping and logistics API and SaaS platform for e-commerce businesses. It provides tools to compare carrier rates, create and buy shipping labels, track packages, and manage returns through a branded short domain and developer-friendly integrations. Shippo targets online retailers and marketplaces looking to streamline shipping operations and reduce fulfillment costs.
• Set the engineering standard for design review and code review across the Data organization • Raise standards for testing, observability, and operational readiness • Turn repeated solutions into reusable, documented primitives • Pair with, mentor, and hand off ownership to emerging technical leaders • Design and build interfaces between application services and ML and data systems • Write reference implementations • Author technical RFCs for data, API, and application architecture • Run architecture and design reviews • Set performance, security, and reliability standards for application services calling data and ML systems • Ensure analytical and data engineering work becomes secure, high-quality, maintainable, and performant production systems • Work directly with data scientists and data engineers to remove workflow friction • Ensure data products deliver customer and business impact • Balance speed to market against architecture and explain tradeoffs • Advise on ML development workflows from experimentation through training, tracking, registration, validation, deployment, monitoring, and retraining • Build and evaluate agentic workflows against real traffic • Harden valuable agentic workflows and discontinue those that do not deliver value
• 10+ years of software engineering experience with deep ownership of large-scale production systems • Track record as a principal-level individual contributor • Experience setting technical direction across teams, writing RFCs, running design reviews, and delivering multi-quarter roadmaps without direct authority • Depth in distributed, data-intensive production systems • Experience making design decisions driven by latency, throughput, availability, and cost • Experience operating distributed production systems • Deep Kubernetes expertise • Experience building and deploying containerized production services • Ability to navigate autoscaling, resource constraints, and resilience patterns • Ability to define deployment standards for ML workloads • Strong working experience alongside data scientists and data engineers • Experience taking analytical or prototype work and making it production grade • Proven adoption and mentorship • Experience building agentic workflows • Bonus: understanding of effective ML development workflows • Bonus: experience building agentic AI solutions for customers, including evaluation harnesses, guardrails, and observability • Bonus: hands-on Databricks experience, specifically with ML tooling • Bonus: experience with feature store patterns and online-offline consistency
• Healthcare coverage for medical, dental, and vision (90% covered by the company, including dependents) • Pets coverage available • Take-as-much-as-you-need vacation policy • Flexible working hours • One week-long company-wide winter slow down • 3 Volunteer Days Off (VTOs) • WFH stipend to set up your home office • Charity donation match up to $100 • Dedicated programs, coaching, tools, and resources for professional and career growth • Individual learning stipend for personal and focused growth • Shippos Everywhere program with regular team and company off-sites and local Shippos gatherings • Equity • Medical, dental, and vision benefits • Remote-first work arrangements
Apply Nowđź•’ February 20
Hands-on Principal Engineer for AI-powered financial data systems at AlphaSense, focusing on improving performance and simplifying architecture while collaborating across teams.
🇺🇸 United States – Remote
đź’µ $246k - $339k / year
đź’° Debt Financing on 2022-06
⏰ Full Time
đź”´ Lead
đźš° Data Engineer
🦅 H1B Visa Sponsor
đź•’ January 31
AWS Data Engineer designing, developing, and maintaining scalable data pipelines. Collaborating with technical teams to ensure data quality and optimize storage solutions.
đź•’ January 31
AWS Data Engineer responsible for designing and maintaining scalable data pipelines leveraging AWS technologies, collaborating with teams to ensure data quality and efficiency.
đź•’ January 29
Data Engineer developing scalable ETL pipelines and data workflows for Azure Databricks environments at CTEC. Collaborating on cloud data solutions supporting U.S. Federal Government projects.
đź•’ January 15
Data Engineering Consultant leading and delivering modern data platforms for global clients. Requires strong expertise in Snowflake, Databricks, and cloud platforms (AWS, Azure, or GCP).