Senior Data Engineer: Real-Time Data Platform & ML

AMH

Las Vegas (NV)

Hybrid

USD 121.000 - 151.000

Vollzeit

Vor 10 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Health insurance
HSA/FSA
Dependent savings
401(k) matching
ESOP
Tuition reimbursement
9 paid holidays
PTO accrual

Zusammenfassung

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.

Qualifikationen

  • 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.

Aufgaben

  • 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.

Kenntnisse

Python
SQL
Databricks
Spark
CI/CD
Data Modeling
ML Pipelines
Cloud Platforms

Ausbildung

Bachelor's degree in Computer Science or related field
Master's degree preferred

Tools

Databricks
Spark
Azure
AWS
Google Cloud
Azure Data Factory
HDInsight

Jobbeschreibung

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.

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