Data Engineer

Job Details

• Job Title: Data Engineer
• Candidate Location: Chula Vista, CA
• Duration: 6 months
• Experience: 4–8 years
• Experience Required: 8–10 years as listed in the requisition
• Work Arrangement:Onsite only
• Interview: In-person interview required at the customer location in Los Angeles.

Job Summary

• Build scalable data pipelines, analytics solutions, and business intelligence platforms.
• Transform raw data into actionable insights and support data-driven decision-making.
• Collaborate with:
  • Business stakeholders
  • Product teams
  • Engineering teams
  • Data consumers
• Apply strong expertise in:
  • SQL
  • Python
  • Data warehousing
  • Dashboard development
  • Data visualization

Key Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Develop and maintain ETL/ELT processes.
• Build analytics solutions that convert large volumes of operational and transactional data into meaningful business insights.
• Develop data models and optimize SQL queries for reporting and analytics.
• Create dashboards and BI reports to monitor:
  • Business KPIs
  • Operational health metrics
  • Executive reporting metrics
• Collaborate with business users, product teams, and engineering teams to gather requirements.
• Deliver data solutions based on business requirements.
• Implement data quality controls, monitoring, and alerting mechanisms.
• Support data migration, integration, and modernization initiatives.
• Participate in Agile ceremonies, including:
  • Sprint planning
  • Backlog grooming
  • Stakeholder reviews
• Analyze business data and provide recommendations to improve operational efficiency and business performance.

Required Technical Skills

Data Engineering

• Data Engineering
• Data Pipeline Development
• ETL/ELT Processes
• Data Integration
• Data Modeling
• Data Warehousing
• Data Migration
• Data Quality Management
• Analytics Engineering

Programming & Querying

• SQL
• Presto SQL
• SAS SQL
• Python
• MySQL

Cloud & Data Platforms

• Snowflake
• Large-scale Analytics Platforms
• Data Storage and Processing Solutions

Business Intelligence & Reporting

• Tableau
• SAP BusinessObjects
• Dashboard Development
• KPI Reporting
• Data Visualization
• Executive Reporting

Tools & Methodologies

• Jira
• Asana
• Agile/Scrum
• Requirements Gathering
• Stakeholder Management

Preferred Qualifications

• Experience supporting:
  • Consumer technology
  • Financial services
  • Enterprise analytics environments
• Experience with user-level telemetry.
• Experience with operational analytics.
• Experience with real-time monitoring dashboards.
• Experience with AI-driven analytics or automation solutions.
• Strong understanding of business intelligence and reporting best practices.
• Experience working with cross-functional business and engineering teams.

Education

• Bachelor’s degree in:
  • Information Technology
  • Computer Science
  • Information Systems
  • Engineering
  • Related field

Role Description

• AI/ML Engineer

Essential Skills

• AI/ML Engineer
• Data Engineering
• Python
• SQL
• Data Visualization
• Business Intelligence
• Analytics
• AI / Automation

Keywords / Additional Skills

• Digital: BI Data Visualization – Tableau
• Digital: NoSQL
• Agile DevOps for Senior Management
• Digital: Python for Data Science
• AI and Automation
• AI & Gen AI – Products & Tools