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# Senior Data Engineer

- **Company:** Alo, LLC.
- **Location:** Beverly Hills, CA, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Data Infrastructure, Data Systems, Python (Programming Language), Automation of Marketing, SQL Databases, Google Cloud, Real Time Systems, Delivery Pipeline, Apache Kafka, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=529060752b9de8db

## About the Role

* Platforms & Infrastructure
 + Cloud platforms (AWS, GCP, Azure)
 + Event-driven and streaming pipelines
 + CI/CD and infrastructure-as-code
 * Data Engineering
 + dbt, SQL, Python
 + Batch and real-time pipelines
 + Medallion architecture
 * Experience
 + 3-5+ years in data engineering or platform engineering
 + Experience working on large-scale data platforms
 + Retail/e-commerce experience preferred

## Description

We are looking for a Senior Data Engineer to build and scale the foundational data platform that powers analytics, real-time decisioning, and operational intelligence across Alo.
This role is for an experienced builder who has delivered production-grade data systems across event ingestion, transformation, modeling, and serving and knows how to make them reusable, reliable, and scalable.
You will build and extend the batch and real-time systems teams rely on to ingest, process, and act on data, enabling marketing automation, inventory intelligence, and order fulfillment visibility., * Build and operate core components of the data platform, primarily on AWS

 * Implement and scale event-driven pipelines using Kinesis, Kafka, or similar
 * Develop and extend Medallion architecture (Bronze/Silver/Gold)
 * Develop ELT pipelines using dbt and modern warehouses (Redshift, BigQuery)
 * Support real-time marketing use cases (segmentation, triggers, personalization)
 * Build data models and pipelines for inventory intelligence and allocation optimization
 * Build pipelines for order lifecycle and SLA insights
 * Apply and help improve standards for data modeling, testing, CI/CD, and observability
 * Partner with cross-functional teams across business domains
 * Mentor junior engineers and contribute to code review and design discussions