Data Engineer (Azure, Python)

Data Engineer 6Month Contract

Location: Los Angeles, CA (Hybrid: 3 days onsite / 2 days remote)
Type: Contract (6 months)
Team: Product Development (Mobile & Web Experiences)

SUMMARY

Our client is seeking a highly skilled Data Engineer with hands-on experience in data migrations, data modeling, and building production-grade data pipelines. You ll join a collaborative engineering team that builds digital products for a global entertainment ecosystem including agents, executives, artists, and business partners.

This role blends data engineering, Python development, data migration execution, and Azure data tooling to support missioncritical applications across mobile and web platforms.

RESPONSIBILITIES

Data Migrations & Modeling

• Design and execute data migrations across systems (mapping, transformations, validation, and reconciliation).
• Analyze source and target schemas; plan and build robust data models.
• Ensure data accuracy, completeness, and integrity across all environments.

Pipeline & API Development

• Build production-grade Python pipelines, APIs, and data management tools.
• Work in an agile environment supporting full SDLC: design deployment monitoring support.
• Implement CI/CD and continuous delivery practices.

Engineering & Tools

• Work with distributed version control (Git/GitHub).
• Deploy pipelines/schemas into production using automated tooling.
• Develop secure, performant, well-tested data solutions.
• Utilize JSON, REST, and datacentered automation.

Team Collaboration

• Participate in sprint activities within a service-oriented engineering culture.
• Communicate effectively with team members across engineering, product, and leadership.

REQUIRED SKILLS

Languages/Frameworks

• Strong Python experience delivering production-quality pipelines.
• Hands-on building scripts/services for data movement & validation.
• Real SQL & NoSQL experience especially SQL Server and MongoDB.
• Strong data modeling and schema analysis capabilities.

Azure/Data Stack (Preferred)

Experience with any of the following (or comparable technologies):

• Azure Data Factory
• Azure Data Lake
• Tabular Model / DAX
• Microsoft Fabric

Tools & Methods

• Git/GitHub (branching, pull requests, version control discipline).
• CI/CD pipelines.
• Experience with:
  • Data quality testing
  • Test automation strategies
  • Secure pipeline development

Education & Experience

• B.S. in Computer Science (or equivalent).
• 5+ years delivering production software/data solutions.
• 3+ years in a Data Engineering or Data Science role.
• Strong communication skills and high attention to detail.

ENVIRONMENT

• Hybrid: 3 days onsite in Los Angeles.
• Highly collaborative, serviceoriented engineering culture.
• Emphasis on teamwork, simplicity, quality, and rapid delivery.