Senior Data Engineer (Databricks + dbt) - Ecommerce Company | Brazil
Role Overview
This senior-level role involves hands-on data engineering within an analytics and data platform team, focusing on building and maintaining data pipelines, models, and infrastructure using Databricks and dbt. The engineer will own the end-to-end data ecosystem, from ingestion to trusted datasets, and collaborate with stakeholders to enable data-driven decision-making. Key responsibilities include designing scalable data warehouse solutions, ensuring data quality, and mentoring others while influencing technical architecture without formal management duties.
Perks & Benefits
The job offers 100% remote work with no location restrictions, requiring only a laptop and reliable internet, and includes highly competitive USD pay. Benefits include paid time off, autonomy in managing work hours, and opportunities to work with top U.S. companies on innovative projects. The culture emphasizes well-being, work-life balance, and collaboration within a diverse, global network of over 600 professionals across 25+ countries.
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
A global consumer-focused technology organization operating at the intersection of design, creativity, and digital commerce. The company empowers independent creators worldwide and delivers premium consumer products across multiple high-growth markets.
Job Summary
You will be a senior, hands-on contributor within the analytics and data platform team, playing a critical role in shaping the company’s data infrastructure, analytics models, and business intelligence capabilities.
This role is designed for a senior engineer who prefers to stay close to the code, while still influencing architecture, standards, and technical direction. You’ll work across ingestion, transformation, modeling, and BI, partnering closely with stakeholders across the business to enable faster, better decision-making.
Responsibilities
Own and contribute to the end-to-end data ecosystem, from raw data ingestion to modeled, trusted datasets powering analytics and BI.
Design, implement, and scale data pipelines and data warehouse infrastructure to support growing data needs.
Build and maintain core analytics data models, ensuring clarity, performance, and consistency of business metrics.
Establish and evolve the semantic layer, defining source-of-truth dimensions, measures, and shared business logic.
Partner with analytics, engineering, and business stakeholders to translate strategic goals into technical architecture and modeling decisions.
Build and extend internal data applications, services, and tools that support analytics and reporting use cases.
Ensure data quality, governance, monitoring, and alerting are embedded across the data stack.
Drive best practices for data modeling, ETL/ELT orchestration, and visualization within the team.
Act as a senior technical contributor and mentor, influencing architecture and best practices without formal people management.
Qualifications and Job Requirements
6+ years of experience in data engineering or analytics engineering roles.
Strong hands-on experience with Databricks in production (Spark, Delta Lake).
Proven experience building and maintaining dbt models and transformations.
Advanced SQL skills for analytical modeling and performance optimization.
Solid Python experience for data processing and pipeline orchestration.
Experience working on Google Cloud Platform (GCP)–based data platforms.
Hands-on experience designing and operating ELT pipelines end to end.
Strong understanding of analytical data modeling and semantic layers.
Ability to work closely with business and analytics stakeholders to deliver trusted datasets.
Clear communication skills and a strong sense of data quality and ownership.
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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