Data Engineer
Philadelphia, Pennsylvania, United States
R
USD 84K-145K (estimate) Mid-level Full Time
Tasks
- Apply statistical analysis and predictive modeling
- Build Power BI dashboards and reports
- Create analytics workflows for reporting and visualization
- Define analytics architecture and schema design
- Design scalable analytics solutions
- Detect trends anomalies and patterns
- Develop KQL queries and workflows
- Document data definitions and business logic
- Ensure data quality, validation, and reconciliation
- Model normalize and analyze data
- Optimize query performance
- Research prototype and implement analytics methodologies
Perks/Benefits
- Community groups
- DEI programming
- Flexible remote work
- Mental health support
- Sustainable healthy engaging work culture
- Transparent career pathing
Skills/Tech-stack
Anomaly Detection | Azure Data | Azure Data Explorer | Data Explorer | Data Modeling | Data Quality | Data Visualization | Kusto Query | Kusto Query Language | Machine Learning | Power BI | Predictive Modeling | Python | Query Language | Query Optimization | SQL | Schema Design | Statistical Analysis
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Cybersecurity | Bachelor of Science in Data Science | Bachelor of Science in Information Systems | Bachelor of Science in Statistics
Roles
Regions
Countries
States
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