Senior Data Engineer (Python, Azure, Snowflake) - Video Games
Role Overview
This senior-level role involves end-to-end data engineering, including exploring, cleaning, and assembling large datasets to meet business requirements. The engineer will create and maintain data pipelines integrating licensed data, partner feeds, and external sources, while developing ETL/ELT processes for analytics and scalability. They will work with cloud-based storage systems like Snowflake and Azure to build analytics-ready outputs that enable self-service insights across the organization.
Perks & Benefits
The position offers 100% remote work with flexibility in location, requiring only a laptop and reliable internet. It includes highly competitive USD pay, paid time off, and autonomy to manage your own schedule as long as work is completed. You'll collaborate with a diverse, global team of over 600 professionals in Latin America, working on high-impact projects with top American companies in a culture that values well-being and work-life balance.
Full Job Description
About Truelogic
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Our Client
The client is an esports league joint venture between the National Basketball Association and Take-Two Interactive. The league, under its original form, was announced in 2017 with its inaugural season taking place in 2018.
Job Summary
Work with data end-to-end: exploring, cleaning, and assembling large, complex datasets that meet functional and non-functional business requirements. Analyze and organize raw data from multiple sources, interpret trends and patterns, and maintain reliable data pipelines across all ingestion points.
Create and maintain data pipelines that integrate licensed data, partner feeds, social platforms, and any scraped or external sources. Develop ETL/ELT processes that support analytics, performance, and scalability.
Manage and operate tools that provide insights into usage, customer acquisition, content performance, and operational efficiency. Work with relational and cloud-based storage systems and extract value from large heterogeneous datasets.
Build analytics-ready outputs and models that enable self-service and trustworthy insights across the organization.
Responsibilities
Work end-to-end with data: explore, clean, transform, and assemble large, complex datasets to support business needs.
Analyze and organize raw data from multiple sources, identify trends and patterns, and maintain reliable, scalable data pipelines across all ingestion points.
Design, build, and maintain ETL/ELT pipelines that integrate licensed data, partner feeds, social platforms, scraped datasets, and other external sources.
Develop ingestion pipelines using Fivetran; model and transform data in dbt Cloud; and manage structured datasets in Snowflake.
Ensure data pipelines are optimized for performance, scalability, reliability, and data integrity.
Operate within Azure DevOps environments across development and production instances, following best practices for version control and deployment.
Scope and design custom connectors (e.g., via Fivetran SDK using Python) when pre-built integrations are not sufficient, collaborating with upstream data engineering teams as needed.
Work with relational and cloud-based storage systems to extract value from large, heterogeneous datasets.
Build analytics-ready outputs, curated datasets, structured views, and data models that enable trustworthy, self-service insights across the organization.
Manage and operate tools that provide insights into usage, acquisition, content performance, and operational efficiency.
Qualifications and Job Requirements
5+ years of professional experience in Data Engineering.
Strong hands-on experience with Snowflake, Fivetran, and dbt Cloud.
Background in Data Analytics, Business Intelligence, and Data Analysis.
Solid Business Analysis (BA) and Project Management (PM) skills, with the ability to handle both technical development and cross-department communication.
Excellent communication and stakeholder management skills.
Located in Latam.
Fluent English level.
What We Offer
100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Why You’ll Like Working Here
A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
Apply now!
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