Senior Manager – Data & Application Engineering

Posted 3 Days Ago
Be an Early Applicant
New York, NY, USA
Hybrid
167K-170K Annually
Senior level
Information Technology • Database • Consulting
The Role
Lead end-to-end data and application engineering projects, managing cross-functional teams across data, application, and integration domains. Architect cloud-based data pipelines and scalable healthcare data applications using distributed processing, streaming, APIs, microservices, and container orchestration. Define technical requirements with stakeholders, prioritize enhancements, ensure technical compliance, and oversee development, deployment, and production support.
Summary Generated by Built In

Lead end-to-end lifecycle of data and application engineering projects, including requirements gathering, design, development, deployment, and production support. Manage cross functional teams across data, application, and integration domains to ensure project alignment, technical compliance, and timely delivery. 

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 and guidance in the use of modern technologies including cloud platforms (e.g., Google Cloud Platform), data processing frameworks (e.g., Apache Beam, Airflow), container orchestration (e.g., Kubernetes), and programming tools (e.g., FastAPI, Flask, Redis, Shell scripting). 
  • Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.
Qualifications

Requires Bachelor’s degree in Computer Science, information Technology, Engineering, or a related field plus five (5) years of Backend system development experience. Must have three (3) year of experience in the following: Google Cloud Platform (GCP) for designing and deploying cloud-native data solutions; Apache Beam and Kafka for distributed and streaming data processing; Developing APIs and microservices using FastAPI and Flask; Python and Shell scripting for automation and data processing. Must have two (2) years of

experience in the following: Kubernetes for container orchestration and deployment; Apache Airflow and DAGs for workflow orchestration.

40 hours/week, 9:00am-5:00pm, Salary range: $167,000 to $170,000 per year.

To apply: Send resume and cover letter to [email protected]. Must cite job title and code EXL90 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.

Skills Required

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
  • Five years of backend system development experience
  • Three years of experience designing and deploying cloud-native data solutions using Google Cloud Platform
  • Three years of experience with Apache Beam and Kafka for distributed and streaming data processing
  • Three years of experience developing APIs and microservices using FastAPI and Flask
  • Three years of experience using Python and Shell scripting for automation and data processing
  • Two years of experience using Kubernetes for container orchestration and deployment
  • Two years of experience using Apache Airflow and DAGs for workflow orchestration
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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