[Remote] Data Engineer (US only)
Note: The job is a remote job and is open to candidates in USA. Tecla, together with its partner, is seeking a Senior Data Engineer to support data engineering execution across complex application development initiatives. The role focuses on designing and optimizing data models, databases, integrations, and production-ready pipelines while integrating AI capabilities and ensuring data quality, performance, and reliability for applications serving the global entertainment industry.
Responsibilities
- 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
- 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
- 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
- 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
- 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
Skills
- Native/Bilingual English is required for this role (read/written/spoken)
- US Citizens or Green Card holders only
- 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
- Please upload your CV Resume in English
- Work Schedule: 9 AM – 6 PM PST
- 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
Benefits
- Full-time dedicated team member opportunity
Company Overview