Staff Data Engineer – Real-Time Telemetry & Data Platforms

Motorsport Hackers; United States; Remote; USD 160,000 - 180,000; Full time

Benefits offered by this job

Bonus potential

Health and wellbeing benefits

Remote work

Job summary

Motorsport Hackers is seeking a Staff Data Engineer to set technical direction for complex real-time data initiatives. You will lead architecture across ingestion, telemetry, data quality, and cloud platforms, partnering with data science, platform, product, and racing stakeholders to deliver measurable outcomes.

You will mentor engineers, drive standards for schemas, observability, and deployment, and own reliability and performance targets in a high-velocity environment.

Qualifications

• Experience setting technical direction for cross-team data platforms.
• Strong programming in Python, Java, or Scala.
• Production-grade streaming and batch data pipelines experience.
• Knowledge of data modeling, schemas, observability, testing, and incident response.

Responsibilities

• Set target-state architecture for cross-system data platforms.
• Lead high-visibility initiatives across teams and disciplines.
• Design and implement real-time ingestion, telemetry, and data quality solutions.
• Own measurable outcomes: reliability, throughput, data quality, and recovery.
• Develop standards for schemas, contracts, observability, testing, and security.
• Mentor engineers and guide design reviews across the organization.
• Partner with stakeholders to translate needs into scalable data solutions.

Skills

Data engineering

Distributed systems

Cloud platforms

Python/Java/Scala

Streaming data pipelines

Data modeling

Observability

Incident response

Mentoring

Stakeholder collaboration

Tools

Databricks

Apache Kafka

Flink

Spark

Kubernetes

AWS

Azure

Job description

Motorsport Hackers is seeking a Staff Data Engineer to set technical direction for complex real-time data initiatives. You will lead architecture across ingestion, telemetry, data quality, and cloud platforms, partnering with data science, platform, product, and racing stakeholders to deliver measurable outcomes.

You will mentor engineers, drive standards for schemas, observability, and deployment, and own reliability and performance targets in a high-velocity environment.