Data Engineer IV (6324)
Description:
- Manage data engineering projects through the full development and delivery lifecycle.
- Identify and support business initiatives from a data engineering perspective.
- Design, build, test, and maintain scalable data management systems.
- Develop, implement, automate, and maintain enterprise-scale ETL processes.
- Build high-performance algorithms, prototypes, predictive models, and proof-of-concepts.
- Evaluate and maintain data solutions against business requirements and engineering standards.
- Collaborate with data architects, data modelers, and IT teams to deliver project goals.
- Participate in internal practice meetings, thought leadership, case studies, learning materials, networking events, and digital transformation initiatives.
Requirements:
- 8+ years of professional experience in data engineering or a related technical field.
- Strong experience with Python, data engineering, and ETL processes.
- Experience supporting operational data work and workflows.
- Experience designing, developing, testing, and maintaining scalable data solutions.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
- Ability to work independently and collaborate effectively with cross-functional teams.
- Strong written, verbal, and presentation communication skills.
- Strong PC skills, including Microsoft SharePoint experience.
- Experience with model evaluation and model measurement pipelines preferred.
- Experience at Meta and certifications such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI preferred.
- Must work remotely in the PST timezone; direct W2 candidates only, with no sponsorship available.
Benefits:
- Comprehensive medical, dental, vision, and life insurance.
- 401(k) plan with employer matching.
- Paid holidays.
- Networking, career learning, and professional development programs.
- Three-month contract through December 31, 2026, with potential extension or conversion.
- Remote work environment.
