STAFF ENGINEER

Reveleer

8d•Remote

About The Position

The Staff Engineer at Reveleer is a key technical leader responsible for setting engineering direction, guiding architectural decisions, and mentoring teams to deliver scalable, high-quality software solutions. This role plays a critical part in driving technical excellence and ensuring that Reveleer's platform remains robust, secure, and adaptable to evolving business needs. This role reports to the Directory of Data Engineering and is instrumental in shaping the engineering culture, improving system performance, and driving modernization efforts. Without strong technical leadership, teams risk inefficiencies, misaligned architectural decisions, and technical debt that hinders growth. Your expertise will accelerate innovation, improve development velocity, and ensure the platform scales effectively.

Requirements

Deep expertise in designing scalable, distributed systems and cloud architecture.
Understanding of data processing, warehousing tools and techniques.
A strong track record of leading complex technical projects from concept to deployment.
Ability to mentor and influence engineering teams to drive best practices.
Passion for solving hard technical problems and building high-quality software.

Nice To Haves

Experience in Python, AWS Lambdas and Java are a plus.
EMR Integration experience at the API level with Epic, Athena, Cerner or Vim is desired.

Responsibilities

Drive technical strategy and architectural decisions for Reveleer's platform and products. Focusing on the development and operation of the Prospective Intelligence data processing pipelines.
Develops and maintains data pipelines that facilitate the seamless ingestion of data from various data sources, transforms the data into information and move to data stores like application databases, data warehouses and others
Provide mentorship to engineers, fostering a culture of technical excellence and continuous learning.
Ensure system scalability, performance, and security while reducing technical debt.
Collaborate with product and engineering leadership to define and execute technology roadmaps.
Expectation of 50-60% time spent on direct technical contribution to the backlog.