Senior Data Engineer — Real-Time Data Pipelines & AI

AMH; Irving (TX); On-site; USD 121,000 - 151,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company matching

Employee stock purchase plan

Tuition reimbursement

9 paid holidays and PTO

Job summary

AMH is seeking a Senior Data Engineer to design, build, and manage a scalable data platform for large datasets. You will develop real-time and batch pipelines, ensure data quality, and deploy ML models to production.

Collaboration with business teams will improve data models feeding BI tools and analytics. The role requires deep experience in data engineering, cloud platforms, and big data technologies, with strong Python and SQL skills, and a track record in CI/CD.

Qualifications

• Bachelor's degree in a related field required.
• Master's degree preferred.
• Minimum 8 years as a data engineer with full-stack capabilities.
• Minimum 10 years of programming experience.
• 5+ years in cloud technologies (Azure, AWS, or Google).
• Strong SQL knowledge.
• Experience with ML and ML pipelines is a plus.

Responsibilities

• Design, develop, and maintain real-time or batch data pipelines for large data volumes.
• Lead analysis of data and design of data architecture to support BI, AI/ML, and data products.
• Implement data platform architecture to meet analytical requirements and ensure scalability and integrity.
• Provide technical leadership and mentoring; conduct code reviews focusing on CI/CD.

Skills

Python

CI/CD

Databricks

Spark

Azure

SQL

ML/ML pipelines

RESTful APIs

Kafka

Big Data

Education

Bachelor's degree

Master's degree

Tools

Databricks

Spark

Azure Data Factory

Cosmos DB

HDInsight

Event Hub

Kafka

Job description

AMH is seeking a Senior Data Engineer to design, build, and manage a scalable data platform for large datasets. You will develop real-time and batch pipelines, ensure data quality, and deploy ML models to production.

Collaboration with business teams will improve data models feeding BI tools and analytics. The role requires deep experience in data engineering, cloud platforms, and big data technologies, with strong Python and SQL skills, and a track record in CI/CD.