Data Engineer

Description

We are looking for a Data Engineer to support data-driven initiatives for a services environment in Southern California.

This Long-term Contract position focuses on building reliable data pipelines, improving data availability, and enabling scalable processing for analytics and operational needs.

The ideal candidate brings strong hands-on experience with modern data engineering tools and can work across large data sets with accuracy and efficiency.

Role :

• Design, develop, maintain, and optimize business intelligence solutions, ETL workflows, reporting systems, and data integration processes.
• Collaborate with business, analytics, and technical teams to gather requirements and deliver reporting and analytics solutions.
• Develop and maintain data models, SQL scripts, stored procedures, dashboards, and reporting solutions.
• Build, optimize, and support ETL pipelines across on-premises and cloud environments.
• Troubleshoot and resolve complex reporting, data quality, performance, and integration issues.
• Validate reporting logic, data transformations, and reporting accuracy.
• Perform performance tuning for SQL queries, stored procedures, ETL workflows, and reporting platforms.
• Participate in architecture discussions and provide technical recommendations aligned with business objectives.
• Create and maintain technical documentation including solution designs, data mappings, and operational procedures.
• Participate in code reviews and enforce development, reporting, and data governance standards.
• Mentor junior developers through technical guidance and knowledge-sharing activities.
• Support Agile delivery activities including sprint planning, backlog refinement, and project execution.
• Collaborate with stakeholders and leadership teams to support business intelligence initiatives.
• Drive continuous improvement initiatives related to reporting quality, analytics performance, and operational efficiency.

Requirements

Job-related Experience

Requires at least 5 years of experience in business intelligence development, software engineering, data engineering, enterprise reporting, or analytics environments.

Mandatory Skills :

• ETL Development
• Data Engineering
• SQL Server
• SQL
• Data Modeling
• Data Warehousing
• Dimensional Modeling
• Data Integration
• ETL Pipelines
• Stored Procedures
• Query Optimization
• Performance Tuning
• Data Quality Management
• Analytics
• Technical Documentation
• Agile Methodology
• SDLC
• Data Governance
• Troubleshooting
• Mentoring
• Communication Skills
• Problem Solving
• Python
• AI Agent
• GenAI/LLM