Lead Data Engineer – Analytics, Security & AI-Driven

Aumni

Houston (TX)

Sur place

USD 140 000 - 210 000

Plein temps

14 jours+

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Résumé du poste

JPMorganChase is seeking a Lead Software Engineer within Corporate Technology, Data protection and Recovery. You will be a core technical contributor in an agile team delivering trusted, secure, scalable software products.

Candidate should have 5+ years of enterprise software experience, strong Python and SQL, and a track record with AI-assisted development, CI/CD, and data pipelines using Airflow and Kafka. Collaborative, fast-paced environment with security at the forefront.

Qualifications

  • 5+ years of software engineering in enterprise settings.
  • Experience using AI-assisted development tools for coding and code reviews.
  • Strong Python and SQL skills with testing experience.
  • Familiarity with secure coding and data protection practices.
  • Experience with CI/CD and agile delivery in fast-paced teams.
  • Experience with Airflow, Kafka, and cloud services.

Responsabilités

  • Develop secure, high-quality production code and review peers' work.
  • Lead AI-assisted engineering practices to improve quality and speed.
  • Extract data models and build data platform solutions.
  • Design data pipelines using Airflow or similar tools.
  • Build streaming pipelines with Kafka or Pub/Sub.
  • Collaborate with vendors and internal teams on architecture.
  • Create reports in JIRA/Confluence to improve workflows.

Connaissances

Python
SQL
AI-assisted tooling
CI/CD
Agile
Security
Leadership

Outils

Airflow
Kafka
Spark
AWS
Kubernetes
Jira
Confluence

Description du poste

JPMorganChase is seeking a Lead Software Engineer within Corporate Technology, Data protection and Recovery. You will be a core technical contributor in an agile team delivering trusted, secure, scalable software products.

Candidate should have 5+ years of enterprise software experience, strong Python and SQL, and a track record with AI-assisted development, CI/CD, and data pipelines using Airflow and Kafka. Collaborative, fast-paced environment with security at the forefront.

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