Real-Time Data Platform Engineer for AI & IoT

BrightAI Inc.

Palo Alto (CA)

On-site

USD 150,000 - 190,000

Full time

2 days ago
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Job summary

BrightAI Inc. in Palo Alto is seeking a Platform Data Engineer to build and maintain scalable data infrastructures powering our real-time platforms.

You will ingest, process, and manage massive streams of sensor and operational data from diverse devices, collaborating with Cloud, Edge, Product, and AI teams to define data contracts and retention policies.

The role emphasizes end-to-end data workflows on AWS, IaC with Terraform, and ML-ready data pipelines in Databricks.

Qualifications

  • 5+ years of professional experience in software or data engineering.
  • Strong programming skills in Python and Golang.
  • Deep understanding of SQL and modern data lake architectures (Parquet, Iceberg, or Delta Lake).
  • Hands-on experience with AWS services (S3, Lambda, Glue, Kinesis, Athena, RDS).
  • Proficiency with Terraform for automating infrastructure deployment.
  • Hands-on experience with Databricks for ML workflows and Delta Lake.

Responsibilities

  • Design, build, and maintain scalable data ingestion pipelines for structured and semi-structured data.
  • Implement data lake and SQL-based storage architectures optimized for performance and cost.
  • Develop internal tools and frameworks for data ingestion using Python, Golang, and SQL.
  • Build and maintain inference pipelines to support model serving and near real time prediction workflows.
  • Develop and maintain deployment processes to support ML development workflow including experimentation, testing, deployment and monitoring.
  • Collaborate with Cloud, Edge, Product, and AI teams to define data contracts and retention policies.
  • Use AWS cloud infrastructure (S3, Lambda, Glue, Kinesis, Athena, RDS) to support end-to-end data workflows.
  • Employ IaC practices using Terraform to manage data platform infrastructure.
  • Monitor data pipelines for quality, latency, and failures using CloudWatch, SumoLogic, or DataDog.
  • Land curated sensor and operational data into Delta tables on Databricks to support ML experimentation and model training.
  • Optimize storage, partitioning, and query performance across large-scale datasets.
  • Participate in architecture reviews and ensure security, compliance, and best practices.

Skills

Python
Golang
SQL
Data engineering
Cloud computing
Debugging
Communication

Tools

AWS
Terraform
Databricks
Kubernetes
Kafka
Delta Lake

Job description

BrightAI Inc. in Palo Alto is seeking a Platform Data Engineer to build and maintain scalable data infrastructures powering our real-time platforms.

You will ingest, process, and manage massive streams of sensor and operational data from diverse devices, collaborating with Cloud, Edge, Product, and AI teams to define data contracts and retention policies.

The role emphasizes end-to-end data workflows on AWS, IaC with Terraform, and ML-ready data pipelines in Databricks.

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