Data Engineer (US only)

*Native/Bilingual English is required for this role (read/written/spoken)

Please upload your CV Resume in English.

Monthly salary: $60 - $75 USD

Along with our partner, we are seeking a Sr. Data Engineer (US-based only) to support data engineering execution across complex application development initiatives. In this role, you will work closely with software engineering teams to design, develop, and optimize data models, databases, integrations, and advanced data pipelines that support both operational applications and reporting systems.

The successful candidate will contribute to the full data lifecycle, including database design, schema development, query optimization, API integrations, data migrations, and production-ready pipeline development across complex data ecosystems. You will also play a key role in integrating modern AI capabilities into our data architecture while ensuring data quality, performance, reliability, and consistency for products that serve a diverse and fast-paced global entertainment industry.

Work Schedule: 9 AM – 6 PM PST

Eligibility: US Citizens or Green Card holders only.

Key Responsibilities

Data Engineering & Architecture

• Support data engineering execution across complex application development initiatives.
• Design and implement scalable data models, database schemas, and integration solutions across structured and unstructured datasets.
• Manage complex data ecosystems and lead data migration projects to modernize infrastructure.
• Ensure data solutions align with established architectural, engineering, and data governance standards.
• Effectively communicate and collaborate with both technical and non-technical stakeholders to align data solutions with business requirements.

Database & NoSQL Development

• Design, develop, and maintain database schemas, indexes, and data objects across relational (Microsoft SQL Server) and NoSQL (MongoDB) platforms.
• Perform query tuning, stored procedure development, and performance optimization for complex, large-scale workloads.
• Support NoSQL access patterns and manage data modeling across hybrid relational and document-based architectures.

Pipelines, Integrations & AI

• Develop and maintain production-ready data pipelines using Databricks and modern transformations.
• Manage API integrations (including REST and JSON) and seamlessly handle data extraction and pre-processing for structured and unstructured information.
• Integrate cutting-edge AI capabilities into data pipelines, including Retrieval-Augmented Generation (RAG), OCR, and prompt engineering.
• Build integrations across modern SaaS and operational tools like Airtable.

Quality, Testing & Reporting

• Design comprehensive data tests, validation processes, and quality frameworks aligned with business needs.
• Build and support reporting solutions to deliver actionable insights across applications.
• Participate in code reviews, schema reviews, and deployment strategy discussions.

DevOps & Continuous Delivery

• Support automated deployments of database schemas, data solutions, and pipeline code.
• Work with Git, GitHub, and continuous delivery workflows in an Agile software development environment.

Required Qualifications

• Experience: 5+ years of experience as a Data Engineer with a proven track record handling complex data ecosystems.
• Core Programming & SQL: Advanced proficiency in SQL and Python programming for scripting, pipeline development, and automation.
• Modern Data Stack: Hands-on proficiency with Databricks for scalable data processing.
• Pipelines & Integrations: Expert in developing production-ready data pipelines, managing API integrations, and executing data migration projects.
• AI Capabilities: Adept at integrating AI capabilities into data pipelines, including RAG, OCR, and prompt engineering.
• Unstructured & Structured Data: Skilled in data pre-processing and extraction across both structured and unstructured datasets.
• Databases: Strong production experience with Microsoft SQL Server (schema design, stored procedures, indexing, query optimization) and MongoDB (document schemas, NoSQL access patterns).
• Testing & Quality: Experienced in designing comprehensive data tests, validation strategies, and reporting solutions aligned with business requirements.
• DevOps & Cloud: Experience with Azure environments (e.g., Azure Data Factory, Microsoft Fabric), Git, GitHub, and automated CI/CD deployment practices.
• Soft Skills: Strong communicator capable of effectively translating technical concepts and collaborating with both technical and non-technical stakeholders.

Preferred Qualifications

• Proficiency with dbt for modern data transformation workflows.
• Experience with Airtable integrations within enterprise data pipelines.
• Experience designing large-scale enterprise data architectures.
• Experience working within Agile software development environments in the media or entertainment sector.

*Please note our partner is only looking for full-time dedicated team members who are eager to fully integrate within their team.