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Senior Data Analytics Engineer

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

This role is for a Senior Data Analytics Engineer to design and deliver high-performance data models, pipelines, and visualizations. The position focuses on building a modern data ecosystem that ensures accuracy, accessibility, and reliability of enterprise reporting. The ideal candidate will have strong experience in data modeling, ETL development, and enterprise data warehouse design.

Key Highlights
Design and deliver high-performance data models, pipelines, and visualizations
Build and maintain dashboards aligned with business requirements
Develop and optimize data transformation pipelines using modern ETL tools
Key Responsibilities
Design, develop, test, and implement scalable data models, ETL processes, and visualization layers to support enterprise analytics and reporting needs
Build and maintain dashboards aligned with business requirements, ensuring accurate data integration and effective visualization design
Develop and optimize data transformation pipelines using modern ETL tools, including creation of fact and dimension models
Technical Skills Required
Data Modeling ETL Development Snowflake
Benefits & Perks
Competitive annual salary
Remote work flexibility
Comprehensive health, dental, vision, and wellness benefits
Nice to Have
Knowledge of data ingestion and replication tools such as HVR
Familiarity with Python and/or Java for data processing and engineering tasks

Job Description

This role sits at the intersection of data engineering, analytics, and business intelligence, enabling enterprise-wide decision-making through scalable data solutions.You will design and deliver high-performance data models, pipelines, and visualizations that power self-service analytics across multiple business units.The position focuses on building a modern data ecosystem that ensures accuracy, accessibility, and reliability of enterprise reporting.You will collaborate closely with data engineers, analysts, and governance teams to translate business needs into robust technical solutions.
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