Data Engineer Stf - E4
Listed on 2026-08-24
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IT/Tech
Data Engineering, Data Warehousing, Database Administrator, Data Science Manager
Standard Job Description
Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.
Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis;
Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications;
Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics;
Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases;
Define standards, best practices, and certification processes for data objects
Standard Job Description
Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.
Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis;
Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications;
Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics;
Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases;
Define standards, best practices, and certification processes for data objects
Standard Job Description
Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.
Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis;
Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications;
Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics;
Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases;
Define standards, best practices, and certification processes for data objects
- Degree in Computer Science, Systems Engineering, or related field
- 10+ years of experience in data engineering, including 3+ years supporting AI/ML systems - traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)
- 5+ years of experience in data analysis, data/system architecture
- Experience in gathering requirements and understanding business processes
- Strong proficiency in Python or NiFi or SQL
- Experience with distributed data…
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