# Senior/Staff Software Engineer, Data Platform

**Company:** [Axion](https://hotfix.jobs/companies/axion)
**Location:** San Francisco, CA, New York, NY
**Role:** Data Engineering
**Salary:** $210k – $265k/yr
**Experience:** 5+ years
**Skills:** Python, Postgres, Kubernetes, Cloud Architecture, Distributed Systems, Data Ingestion, Data Pipelines, Data Integration, Relational Data Modeling, Schema Design, Data Validation, Data Lineage, Monitoring, Alerting, Containerization
**Posted:** 2026-08-27

> Senior individual contributor responsible for architecting and scaling production data ingestion systems that integrate complex enterprise sources into reliable datasets. Requires 5+ years of backend engineering experience, strong Python, cloud, Kubernetes, Postgres, and data integration expertise.

## Job Description

## Responsibilities
- Own the technical architecture for data ingestion, including pipelines, schema mapping, validation, transformation, and orchestration from source systems to production-ready datasets.
- Build and harden backend services and cloud infrastructure for fast, repeatable, and observable manufacturer onboarding.
- Solve integrations with enterprise warranty, telematics, ERP, and service systems containing inconsistent schemas and unreliable delivery.
- Establish data quality and reliability standards, including validation, lineage, monitoring, and alerting.
- Partner with Engineering, Product, and customer-facing teams on the technical vision and roadmap for data onboarding workflows.
- Raise engineering standards through code reviews, design documentation, and technical direction.
- Mentor engineers on data architecture and system design.

## Requirements
- 5+ years of backend software engineering experience.
- Deep, recent hands-on experience with Python.
- Strong cloud architecture experience designing, deploying, and operating distributed production services.
- Experience with Kubernetes and containerized workloads.
- Deep experience with Postgres and relational data modeling, including performance, migrations, and production-scale schema design.
- Experience solving data integration problems involving heterogeneous sources and unstructured or inconsistent inputs.
- Technical mentorship experience.
- Ability to make sound decisions in ambiguous, fast-moving environments and balance MVP delivery with production-grade systems.

## Benefits
- Competitive compensation, equity, and benefits.
- Generous time off.
- Lunch stipend.
- Work with AI technology applied to manufacturing.

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