Senior / Staff Backend Engineer, Data Platform
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Role details
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Job description
We’re partnering with a high-growth technology company building large-scale, cloud-native data infrastructure powering real-time products and internal platforms used across the business.
This is not a traditional analytics or BI-focused data engineering role.
The team is looking for backend engineers who have built distributed systems around high-volume data ingestion, streaming, telemetry, and scalable APIs in production environments.
What You’ll Work On
- Build and scale distributed backend systems handling real-time and near real-time data
- Design ingestion frameworks and event-driven architectures processing large-scale telemetry and platform data
- Develop APIs and backend services that expose data to product and engineering teams
- Improve reliability, latency, observability, and scalability across critical platform infrastructure
- Partner closely with product, infrastructure, and data platform teams on 0*1 initiatives
- Contribute to cloud-native architecture and platform modernization efforts
Requirements
Do you have experience in Scalable systems?, Do you have a Bachelor’s degree?, * 8+ years of software engineering experience
- Strong backend engineering fundamentals with experience in distributed systems
- Experience building real-time ingestion or streaming systems in production
- Hands-on coding experience in Java, Python, or Node.js
- Experience with Kafka, Pub/Sub, Kinesis, or similar event streaming technologies
- Experience with cloud infrastructure (GCP preferred, AWS also relevant)
- Experience building APIs, backend services, or platform infrastructure at scale
- Strong ownership mentality and ability to drive projects end-to-end
- Experience working in product-driven or customer-facing environments
Nice to Have
- IoT, telemetry, mobility, fintech, infrastructure, or large-scale consumer product experience
- Experience with Kubernetes, microservices, or event-driven systems
- Exposure to ML infrastructure, classification systems, or high-throughput data platforms
What We’re Looking For
We value engineers who:
- Have built systems, not just pipelines
- Understand how data moves through distributed systems in production
- Can operate in ambiguous, fast-moving environments
- Bring strong communication and technical leadership skills
- Have experience at companies known for strong engineering culture and scale, * Bachelor’s (Required)
Benefits & conditions
Pulled from the full job description
- 401(k)
- Paid time off
- Dental insurance
- RSU, * This role is backend/platform engineering focused
- Candidates focused primarily on BI, reporting, analytics engineering, or dashboard development will not be a fit
- LinkedIn profile and verifiable work history strongly preferred due to high volume of fraudulent applications
Compensation: Expected base salary range is $150K-$215K, though final leveling and compensation will depend on experience, technical depth, and location. Total compensation may include bonus, equity/RSUs, and additional benefits.
Pay: $150,000.00 - $215,000.00 per year, * 401(k)
- Dental insurance
- Paid time off
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