Senior Data Engineer: Real-Time Data Platform & ML

AMH; Las Vegas, Northern (NV, KY); Hybrid; USD 121,000 - 151,000; Full time

Benefits offered by this job

Health insurance

HSA/FSA

Dependent savings

401(k) matching

ESOP

Tuition reimbursement

9 paid holidays

PTO accrual

Job summary

AMH is seeking a Senior Data Engineer to design, build, and manage the data platform, enabling scalable pipelines for large datasets and production ML models. You will collaborate with cross-functional teams to improve data models that feed BI tools and analytics.

The requirements include 8+ years in data engineering, cloud experience (Azure/AWS), strong SQL, Python, and hands-on work with Databricks or Spark.

Qualifications

• Bachelor's degree in computer science, information systems, data science, or related field.
• Master’s degree preferred.
• 8+ years as a data engineer with full-stack capabilities.
• 10+ years in programming.

Responsibilities

• Design, develop, and maintain data pipelines (real-time or batch) to process large volumes of data.
• Ingest, curate, and provision data for analytics, reporting, and data science.
• Design and develop advanced data products and intelligent APIs.
• Monitor performance, troubleshoot, and integrate new features.
• Lead data architecture to support BI, AI/ML, and data products.
• Ensure scalability, maintainability, and data integrity.

Skills

Python

SQL

Databricks

Spark

CI/CD

Data Modeling

ML Pipelines

Cloud Platforms

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Databricks

Spark

Azure

AWS

Google Cloud

Azure Data Factory

HDInsight

Job description

AMH is seeking a Senior Data Engineer to design, build, and manage the data platform, enabling scalable pipelines for large datasets and production ML models. You will collaborate with cross-functional teams to improve data models that feed BI tools and analytics.

The requirements include 8+ years in data engineering, cloud experience (Azure/AWS), strong SQL, Python, and hands-on work with Databricks or Spark.