Data Engineer Ii

Job Description
As a key member of our leading-edge, full-stack team, the Data Engineer II role offers an unparalleled opportunity to advance your career in a stable, S&
P 500 company renowned for its innovative spirit, collaborative team culture and commitment to technical excellence. In this elevated position, you are instrumental in advancing our cutting-edge data infrastructure;
optimizing data flow and storage, and spearheading data science and data engineering initiatives that drive our company's growth this year and for many years after. This role is best suited for those who thrive in a culture of mentoring, performance, accountability, and technical leadership, offering a prime environment to refine various skills @ data engineering, machine learning operations, and learn/apply advanced leadership skills.
Responsibilities:
Advanced Collaboration:
Define and lead projects in collaboration with Data Scientists and Engineers to enhance data workflows, implementing cutting-edge solutions to meet complex data challenges.
Applied System Architecture Development:
Take charge of designing and executing significant enhancements to our data systems to support advanced analytical capabilities and meet evolving business needs.
Pipeline Management:
Architect, build, and manage sophisticated data pipelines from a variety of sources, ensuring scalability and reliability.
Data Governance:
Spearhead the development and enforcement of data management practices, ensuring the highest quality of data in our data lake and compliance with data privacy standards.
ML Ops Leadership:
Play a critical role in the strategy and execution of Machine Learning Operations, driving the adoption of best practices and innovative solutions.
Code Excellence:
Set the standard for code maintainability, performance, and best practices, mentoring junior engineers and leading by example.
Strategic Documentation:
Create, maintain, and evolve detailed documentation of data architectures, systems, and processes, facilitating knowledge sharing and operational efficiency.