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Staff Data Platform Infrastructure Engineer - Technology

Truelogic

Panama Remote permanent

Posted: January 6, 2026

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Quick Summary

We are looking for a Staff Data Platform Infrastructure Engineer to join our team in Panama. The ideal candidate will have experience with cloud-based infrastructure and data platform solutions, with a strong understanding of scalability and security best practices.

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 data-driven go-to-market (GTM) platform that helps businesses find, acquire, and grow customers through accurate, real-time data and actionable insights.

Their platform is trusted by 35,000+ companies worldwide, enabling organizations to increase efficiency, align sales and marketing teams, and simplify complex technology stacks. The company is widely recognized as a leader in data privacy and security, maintaining industry-leading GDPR and CCPA compliance along with multiple security and privacy certifications.

Job Summary

As a Principal Software Engineer on the Data Platform Infrastructure team, you will play a strategic and hands-on role in shaping the architecture and technical direction of our Enterprise Data Engineering organization. You will help define standards, influence long-term platform strategy, and build scalable systems that power analytics, reporting, and data-driven insights across the company.

The goal is to build a consistent, democratized, and accessible single source of truth for analytics and reporting across the organization. By doing so, we empower teams to make faster, smarter decisions with confidence, using the right data at the right time.

Responsibilities

• Design and build a highly scalable data platform to support data pipelines for diversified and complex data flows.

• Track and identify relevant new technologies in the market and push their implementation into our pipelines through research and POC activities.

• Deliver scalable, reliable, and reusable data solutions.

• Leading, building, and continuously improving our data gathering, modeling, reporting capabilities, and self-service data platforms.

• Working closely with Data Engineers, Data Analysts, Data Scientists, Product Owners, and Domain Experts to identify data needs.

• Develop processes and tools to monitor, analyze, maintain, and improve data operation, performance, and usability.

Qualifications and Job Requirements

• Relevant Bachelor's degree or other equivalent Software Engineering background.

• 10+ years of experience as an infrastructure / data platform / big data software engineer.

• Experience with AWS/GCP cloud services such as GCS/S3, Lambda/Cloud Function, EMR/Dataproc, Glue/Dataflow, Athena.

• IaC design and hands-on experience.

• Familiarity with designing CI/CD pipelines with Jenkins, GitHub Actions, or similar tools.

• Experience in designing, building and maintaining enterprise systems in a big data environment on public cloud.

• Strong SQL abilities and hands-on experience with SQL, performing analysis and performance optimizations.

• Hands-on experience in Python or equivalent programming language.

• Experience with administering data warehouse solutions (like Bigquery/ Redshift/ Snowflake).

• Experience with data modeling, data catalog concepts, data formats, data pipelines/ETL design, implementation, and maintenance.

• Experience with Airflow and DBT - advantage

• Experience with Kubernetes using GKE or EKS - advantage.

• Experience with development practices – Agile, TDD - advantage.

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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