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Principal Data Engineer

Geo*** · Boston, MA, United States
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Boston, MA, United States170,000-200,000 USD/yearlyHybrid
Remuneration
170,000-200,000 USD/yearly
Location
Boston, MA, United States
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Job summary

Geo***, LLC IS SEEKING A FULL-TIME PRINCIPAL DATA ENGINEER TO JOIN OUR DATA TEAM. REPORTING TO THE DIRECTOR OF DATA ENGINEERING, THIS HIGHLY VISIBLE ROLE WILL LEAD THE DESIGN AND EVOLUTION OF OUR ENTERPRISE DATA PLATFORM, SHAPE DATA STRATEGY IN PARTNERSHIP WITH CROSS-FUNCTIONAL STAKEHOLDERS AND DRIVE LARGE-SCALE DATA ENGINEERING INITIATIVES THAT POWER ADVANCED ANALYTICS, AI, AND

Benefits

Of a smaller organization.Our compensation philosophy is designed to attract, motivate, and retain top talWe are committed to ensuring that compensation reflects the value our employeesEmployees at all levels are eligible to receive a combination of base salary, vaPackage.Compensation decisions are informed by a range of factors including role, experiGeode is proud to be an equal opportunity employer and support a diversified worLearn more about Geode at www.geodecapital.com/careers.

Qualifications

  • Collaborate closely with Data Science leadership and teams to bridge experimentation into reliable production-grade ML systems
  • Establish and oversee model lifecycle practices, including validation, retraining, and performance monitoring
  • Mentor engineers fostering engineering excellence and innovation
  • Evaluate emerging
  • With robust infrastructure and experienced investment professionals, Geode offers the scale of a large asset management firm with the

Responsibilities

  • Translating complex business problems into high-value analytics and AI solutions
  • Architect and guide the development of AI/ML solutions supporting analytics use cases
  • Design scalable, secure, and resilient data ecosystems supporting operational, analytical, and AI/ML workloads.
  • Establish engineering standards, best practices, frameworks, and governance policies for data management and Python-based data and ML development
  • Ensure analytics and AI models are scalable, explainable, monitored, and aligned with enterprise analytics needs
  • Partner with Product, Analytics, and Business stakeholders to define data, feature, and model

Skills

Leadership

Degrees

Degree

Industry

EducationEnergy

Company size

EnterpriseSmb