Senior Data & API Engineering Lead (Remote)

Ex

New York (NY)

On-site

USD 167,000 - 170,000

Full time

11 days ago
Application generator

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Job summary

Ex in New York, NY is seeking a Senior Manager – Data & Application Engineering to lead end-to-end data and application projects. You will guide requirements, design, development, deployment, and production support while coordinating cross-functional teams across data, application, and integration domains.

You will architect cloud pipelines on Google Cloud Platform, build scalable APIs with FastAPI/Flask, and champion modern tooling like Kubernetes, Apache Beam, Airflow for analytics-driven

Qualifications

  • Bachelor’s degree in Computer Science, IT, Engineering, or related field.
  • 5+ years backend system development experience.
  • 3+ years of GCP design/deployment of cloud-native data solutions.
  • 3+ years of Apache Beam and Kafka for distributed data processing.
  • 3+ years developing APIs and microservices with FastAPI and Flask.

Responsibilities

  • Architect and implement cloud-based data pipelines using distributed and streaming technologies to support healthcare analytics.
  • Oversee development of scalable applications and APIs for ingestion, processing, and delivery of healthcare data using microservices architecture.
  • Collaborate with product managers, architects, and client stakeholders to define technical requirements and prioritize solution enhancements.
  • Provide technical leadership in the use of modern technologies including GCP, Apache Beam, Airflow, Kubernetes, FastAPI, Flask, Redis, and shell scripting.

Skills

GCP
Python
Shell scripting
FastAPI
Flask
API development
Microservices
Kafka
Apache Beam
Apache Airflow
Kubernetes

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Kubernetes

Job description

Ex in New York, NY is seeking a Senior Manager – Data & Application Engineering to lead end-to-end data and application projects. You will guide requirements, design, development, deployment, and production support while coordinating cross-functional teams across data, application, and integration domains.

You will architect cloud pipelines on Google Cloud Platform, build scalable APIs with FastAPI/Flask, and champion modern tooling like Kubernetes, Apache Beam, Airflow for analytics-driven

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