Azure Data Engineer

Job Role: Data Engineer Location: Los Angeles, CA (Hybrid Onsite) Pay Rate: $50/hr. on W2 No. of Interviews: 3 rounds 30 minute each Job Summary We are seeking a Data Engineer with strong hands-on experience in data engineering, data migrations, and data modeling to join a product development team building modern web and mobile software platforms. This role focuses on designing, building, and maintaining reliable data pipelines, migration frameworks, and APIs that support complex, high-volume business systems. You will work closely with software engineers and product teams to move, transform, validate, and reconcile data across systems while ensuring accuracy, performance, and long-term maintainability. Key Responsibilities • Design, build, and execute data migrations between systems, including data mapping, transformation, validation, and reconciliation • Develop and maintain data pipelines, APIs, and internal data management tools • Analyze source and target schemas and model data for scalability and performance • Ensure data quality, integrity, and consistency across environments • Participate in the full software lifecycle: design, development, testing, deployment, monitoring, and support • Collaborate with cross-functional teams in an agile development environment • Contribute to automation, testing strategies, and continuous delivery practices Languages & Frameworks • Proficiency in JavaScript/TypeScript and Python • Experience building production scripts or services for data movement and validation • Familiarity with frontend frameworks such as React, Angular, or Vue • Experience with backend frameworks such as Node.js / Express • Experience with modern data platforms; Azure Data Factory and Microsoft Fabric preferred • Strong experience with comparable cloud and data integration technologies is also acceptable • Hands-on production experience with SQL and NoSQL databases • Strong experience with SQL Server and MongoDB preferred • Comfortable writing complex queries, modeling schemas, and resolving data quality issues during migrations • Experience using Git/GitHub or similar version control systems • Familiarity with automated pipeline deployment and schema promotion to production • Strong understanding of agile methodologies and continuous delivery concepts • Experience with REST APIs, JSON, security best practices, performance tuning, and testing • Interest in data quality, test strategy, and test automation Qualifications • Bachelor’s degree in Computer Science or a related field • 5+ years of experience delivering production-grade data or software solutions What We’re Looking For • Passion for building and maintaining production software and data systems • Strong verbal and written communication skills • Detail-oriented problem solver who values simplicity, quality, and speed • Comfortable working in fast-moving, highly collaborative teams Work Environment • Hybrid role: 3 days onsite / 2 days remote • Collaborative, service-oriented environment that values teamwork, ownership, and helping others succeed