Role overview

Qualifications

Advanced proficiency in Python, SQL, and Bash for complex data processing and scripting
Deep experience with Snowflake and dbt for data warehousing and transformations
Hands-on experience with Apache Airflow for managing complex data workflows
DevOps proficiency with Docker, Kubernetes, and GitLab CI/CD

Responsibilities

System Architecture: Design and architect high-quality data systems and pipelines
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
Technical Leadership: Provide guidance and management to the team, ensuring best practices in Python, SQL, and Bash scripting are maintained across the codebase

Key facts

Remote from: Brazil, Colombia, Argentina, Peru, Mexico
Full time
Senior (5-10 years)
Data Engineer
English

Other skills

Team Leadership
Verbal Communication Skills
Teamwork

About the company

In All Media

In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results. Our Austin headquarters anchors our global reach, with a diverse talent pool distributed across the Americas, Europe, and Asia. This allows us to execute our Nearshore model efficiently in all three regions. Since our inception, we have employed an agile, remote, and distributed model, allowing us to tap into the world's finest technical talent, regardless of location, adapting methodologies like SAFe to perfectly align with our client's needs. We source our exceptional talent from Coderfull, our exclusive community boasting over 5,000 rigorously vetted engineers. Our teams are formed and trained within this community, with specialized interest groups focusing on cutting-edge technologies making In All Media a true Community Lead Enterprise. Our Community teams have a proven track record of collaboration, in-depth knowledge of each other's strengths, and exceptional team dynamics. This synergy results in rapid onboarding, heightened productivity, and an unwavering commitment to success. Our teams embrace flexibility and benefit from a thriving community spirit, abundant career growth opportunities, and a stable compensation model. Our proprietary Community Management platform streamlines talent management, empowering them to efficiently handle daily work, career development, and administrative tasks. AI has captivated our community with its potential to revolutionize our industry so we are harnessing AI to augment, not replace, human skills investing heavily in AI tools, training, and partnerships, to increase our team’s productivity and guide our clients toward a future-ready AI adoption strategy. Experience the In All Media difference today.

Company details

Company size1001 - 5000

Links

Website LinkedIn See all jobs

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Job description

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.

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