Senior Data Engineer: Build Scalable Data Pipelines & ML

American Homes 4 Rent, L.P.; Nevada (IA); On-site; USD 121,000 - 151,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) with company matching

Employee stock purchase plan

Tuition reimbursement

Paid holidays and PTO

Job summary

American Homes 4 Rent, L.P. is seeking a Senior Data Engineer to design, build, and manage our data platform, enabling scalable pipelines and data-driven decision making across the business.

You will lead real-time and batch data flows, ingrain data quality, and collaborate with BI/AI teams to deliver intelligent data products, APIs, and robust analytics capabilities at scale. The role requires 8+ years as a data engineer, strong SQL, Python, and cloud experience (Azure/AWS/GCP), and hands-on

Qualifications

• 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.
• Experience with ML pipelines is a plus.
• Hands-on with Databricks and Spark.

Responsibilities

• Design, develop, and maintain real-time or batch data pipelines.
• Ingest, curate, and provision data for analytics and data science.
• Develop data products and intelligent APIs.
• Monitor system performance and ensure data quality.
• Provide technical leadership and code reviews.
• Lead data architecture to support BI/AI/ML.

Skills

Python

SQL

Cloud

Databricks

Spark

CI/CD

REST APIs

Data modeling

BI tools

Agile

Education

Bachelor’s degree

Master’s degree preferred

Tools

Databricks

Spark

Azure Data Factory

Azure ADLS

Cosmos DB

Kafka

Power BI

Job description

American Homes 4 Rent, L.P. is seeking a Senior Data Engineer to design, build, and manage our data platform, enabling scalable pipelines and data-driven decision making across the business.

You will lead real-time and batch data flows, ingrain data quality, and collaborate with BI/AI teams to deliver intelligent data products, APIs, and robust analytics capabilities at scale. The role requires 8+ years as a data engineer, strong SQL, Python, and cloud experience (Azure/AWS/GCP), and hands-on