Data Engineer

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.

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