Data Engineer (Tech-lead)

Position: Data Engineer (Tech-Lead) Location: Remote from LATAM Contract Type: Full-time Contractor Time Zone Alignment: CST / CDT (Central Time) About In All Media We are a Managed Nearshore Teams provider headquartered in Austin, specializing in building and embedding high-performing software development teams. From design to deployment, we deliver customized solutions by connecting global talent with innovative client projects. Our model gives you the opportunity to work on international challenges, collaborate with diverse teams, and grow your career while being part of a company that values expertise, creativity, and impact. Project Overview In this role, you will join a high-impact team as a technical leader focused on architecting and scaling robust data ecosystems. You will be responsible for leading the design and implementation of end-to-end data pipelines that transform raw data into actionable insights. The project emphasizes high-level system architecture and seamless product delivery, requiring a lead who is comfortable navigating the intersection of complex data transformations and modern DevOps practices. As a Data Engineer (Tech-Lead), you will ensure our data infrastructure remains scalable, reliable, and production-ready. Key Responsibilities System Architecture: Design and architect high-quality data systems and pipelines using the latest industry standards. Data Transformation: Lead the development of complex data models and transformations leveraging Snowflake and dbt. Pipeline Orchestration: Design and implement efficient workflow automation layers using Apache Airflow for complex dependency handling. Infrastructure & DevOps: Ensure environment consistency and deployment reliability by managing Docker, Kubernetes, and GitLab CI/CD pipelines. Product Delivery: Take full ownership of the data product lifecycle, driving projects from initial inception through to successful production deployment. Technical Leadership: Provide guidance and management to the team, ensuring best practices in Python, SQL, and Bash scripting are maintained across the codebase. Must-Have Skills Language Mastery: Advanced proficiency in Python, SQL, and Bash for complex data processing and scripting. Data Stack Expertise: Deep experience with Snowflake as a primary data warehouse and dbt for robust transformations. Orchestration Excellence: Hands-on experience with Apache Airflow for managing and monitoring sophisticated data workflows. DevOps Proficiency: Practical knowledge of containerization and CI/CD tools, specifically Docker, Kubernetes, and GitLab. Leadership Experience: A proven track record in System Architecture and Team Leadership/Management. Fluent English: Excellent verbal and written communication skills for daily technical collaboration and leadership. Nice-to-Have Skills Application UI: Experience building interactive data applications and dashboards using Streamlit. Data Quality: Specific experience in building automated systems focused on data validation and quality generation. Product Vision: Demonstrated ability to have shipped multiple data-centric products in a fast-paced environment. Time Zone & Collaboration This role is 100% remote from LATAM and requires consistent overlap with teams in Central Time (CT). Flexibility is expected to accommodate key ceremonies, stand-ups, and collaborative sessions within Central US business hours. Language All interviews, documentation, and daily communication are in English. #LI