Software Engineer III, Data Product [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer III, Data Product based in the United States.

This role sits at the core of building next-generation data-driven product experiences that transform complex shipping data into actionable intelligence for merchants at scale.
You will contribute to both backend systems and customer-facing interfaces, helping design intelligent rule-based decision systems that power logistics optimization.
The position blends strong backend engineering in Python with modern full-stack development using React.
You will help build and evolve a high-performance rules engine that evaluates shipping decisions in real time.
The role involves close collaboration with data science, product, and analytics teams to operationalize insights into production systems.
You will work in a highly distributed, remote-first environment where ownership, autonomy, and scalability are key expectations.
This is a high-impact engineering role shaping the infrastructure behind global e-commerce intelligence systems.

Accountabilities

• Design, build, and own components of a high-scale rule evaluation engine powering data-driven product decisions.
• Develop backend services in Python (FastAPI or similar) to support low-latency, high-throughput decision workflows.
• Integrate event-driven systems (e.g., Kafka or equivalent) to process and distribute real-time shipping and logistics data.
• Build and maintain React-based interfaces for rule configuration, evaluation visibility, and system observability.
• Design scalable data models supporting auditability, versioning, and reproducibility of decision outputs.
• Collaborate with Data Science, Analytics Engineering, and Product teams to productionize analytical and ML-driven insights.
• Instrument services with metrics, logging, and tracing to ensure production observability and system reliability.
• Participate in on-call rotations and incident response for owned services.
• Contribute to API design, system decomposition, and cross-team technical architecture discussions.
• Support onboarding, code reviews, and knowledge sharing to elevate team engineering practices.
• Leverage AI-assisted development tools as part of modern engineering workflows.

Requirements

• 6+ years of professional software engineering experience, including at least 2+ years building production full-stack systems.
• Strong expertise in Python backend development, ideally with FastAPI or similar asynchronous frameworks.
• Experience working with event-driven architectures (e.g., Kafka or equivalent) in production environments.
• Solid knowledge of PostgreSQL, including schema design, indexing, and query optimization.
• Production experience with React, including integration with backend APIs and state management.
• Strong understanding of system design, API development, and scalable backend architecture.
• Experience shipping production systems with observability, feature flags, and iterative deployment practices.
• Strong testing discipline (unit and integration testing) and focus on system reliability.
• Ability to write clear technical documentation and communicate complex ideas effectively.
• Curiosity about logistics, shipping systems, or data-driven product decision-making.
• Bonus: experience building rule engines, working with ML/data science teams, or shipping logistics-related products.

Benefits

• Competitive annual salary: $134,000 – $181,000 (target midpoint ~$157,000)
• Equity compensation as part of total package
• Comprehensive medical, dental, and vision coverage (including dependents, ~90% employer-covered)
• Flexible vacation policy with unlimited time off approach
• Flexible working hours in a remote-first environment
• Annual company-wide winter shutdown week
• Volunteer Days Off (VTOs) and charitable donation matching
• Home office stipend and remote work support
• Learning and development stipend plus career growth programs
• Regular in-person team gatherings and global off-site events
• Wellness, coaching, and professional development resources

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.