Senior Data Engineer - Real-Time Pipelines & AI/ML Platform

AMH; Las Vegas (NV); On-site; USD 121,000 - 151,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) with company matching

Tuition reimbursement

PTO and holidays

Job summary

AMH is seeking a Senior Data Engineer to design, build, and manage the data platform, enabling scalable pipelines, data quality, and ML model deployment across the organization. You will develop real-time and batch data processing and collaborate with business teams to feed BI tools, increasing data accessibility and driving data-driven decisions.

Lead data architecture, mentor teammates, and promote CI/CD practices while building modern data products with Spark/Databricks on cloud platforms.

Qualifications

• Bachelor's degree in a related field required.
• Master's degree preferred.
• 8+ years as a data engineer with full-stack capabilities.
• 10+ years of programming experience.
• 5+ years in cloud technologies (Azure/AWS/GCP).
• Strong SQL knowledge and Python proficiency.
• Experience with ML and data pipelines a plus.
• Experience with real-time integration and data products.
• Experience with Databricks, Spark, and related tools.

Responsibilities

• Design, develop, and maintain real-time or batch data pipelines for analytics and data science.
• Lead data architecture decisions to support BI, AI/ML, and data products.
• Ensure scalable, maintainable, and extensible data solutions with CI/CD.
• Provide technical leadership and mentorship to team members.

Skills

SQL

Python

CI/CD

ML/ML pipelines

Real-time pipelines

RESTful APIs

Agile methods

Data modeling

BI tools

Cloud platforms

Education

Bachelor's degree

Master's degree

Tools

Databricks

Spark

Azure

Azure Data Factory

HDInsight

Cosmos DB

Job description

AMH is seeking a Senior Data Engineer to design, build, and manage the data platform, enabling scalable pipelines, data quality, and ML model deployment across the organization. You will develop real-time and batch data processing and collaborate with business teams to feed BI tools, increasing data accessibility and driving data-driven decisions.

Lead data architecture, mentor teammates, and promote CI/CD practices while building modern data products with Spark/Databricks on cloud platforms.