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Machine learning engineer • tallahassee fl
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Data Engineer
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Job Description
Job Description
Data Engineer JOB OVERVIEW JOB TITLE Data Engineer DIVISION / DEPARTMENT IT LOCATION Remote REPORTS TO : Principal Consultant FLSA STATUS : Exempt JOB SUMMARY ISF is seeking a Data Engineer who can design and develop scalable data infrastructure solutions while sharing ISF’s engineering philosophy of reducing complexity and creating functional solutions in a straightforward manner. The ideal candidate deeply understands the fundamental concepts of data system design, implementation and maintenance and is eager to apply that knowledge to new tools, paradigms, and challenges. The candidate must be able to prioritize and solve for the client’s primary project objectives and develop creative solutions within project constraints. DUTIES & RESPONSIBILITIES The Data Engineer will :
- Design, build, and maintain scalable data pipelines and ETL processes.
- Develop and optimize data architectures for access, analytics and reporting.
- Ensure data integrity, security, and compliance aligned with industry best practices.
- Consult with development teams to determine appropriate storage solutions for software development efforts, optimizing for cost, latency, and integration.
- Create end-to-end data pipelines to support model creation, data warehousing, real-time analytics, and machine learning.
- Implement data governance strategies, including data catalog creation, structuring data zones, process orchestration, monitoring, and alerting.
- Automate data workflows and improve data quality processes.
- Manage and optimize databases and cloud-based data platforms.
- Troubleshoot data-related issues and optimize system performance.
- Collaborate with analysts, developers, and business teams to understand data needs.
EDUCATION & CERTIFICATIONS
KNOWLEDGE & EXPERIENCE Primary Skills
SKILLS & ABILITIES
We are committed to providing equal opportunity in all of our employment practices, including selection, hiring, promotion, transfer, and compensation, to all qualified applicants and employees without regard to age, race, color, sex, religion, national origin, marital status, gender identity or expression, or sexual orientation, disability or any other protected status in accordance with the requirements of all federal, state and local laws.
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