Senior Data Platform Engineer for Real-Time Analytics

AMH; San Antonio (TX); Sur place; USD 121 000 - 151 000; Plein temps

Avantages offerts par ce poste

Medical, dental and vision insurance

401(k) with company matching

Tuition reimbursement

9 paid holidays

PTO accrual up to 120 hours per year

Résumé du poste

AMH is seeking a Senior Data Engineer to build and manage our data platform, enabling scalable pipelines and ML deployment. You will design ingestion, curation, and provisioning of diverse data sources for analytics and data science.

Join a team delivering real-time and batch processing, collaborating with BI and data product teams to improve data models and accessibility. Strong Python, SQL, and cloud experience required.

Qualifications

• Bachelor's degree in CS/IS/Data Science or related field.
• Master's degree preferred for advanced analytics.
• Minimum eight years as a data engineer with full-stack capabilities.
• Minimum ten years of programming experience.
• Five+ years in cloud technologies (Azure, AWS, or Google).
• Strong SQL and experience with ML pipelines is a plus.
• Hands-on with Databricks, Spark, and data platforms.

Responsabilités

• Design, develop, and maintain real-time or batch data pipelines.
• Lead data architecture to support BI, AI/ML and data products.
• Implement scalable data platform architectures for analytics.
• Provide technical leadership and code reviews with CI/CD focus.

Connaissances

SQL

Python

CI/CD

Azure

AWS

Databricks

Spark

Real-time data pipelines

REST APIs

Formation

Bachelor's degree in CS/IS/Data Science/Math

Master's degree preferred

Outils

Databricks

Spark

Power BI

Tableau

Description du poste

AMH is seeking a Senior Data Engineer to build and manage our data platform, enabling scalable pipelines and ML deployment. You will design ingestion, curation, and provisioning of diverse data sources for analytics and data science.

Join a team delivering real-time and batch processing, collaborating with BI and data product teams to improve data models and accessibility. Strong Python, SQL, and cloud experience required.