Senior Data Engineer - Marketing Analytics (Mexico)

Truelogic; México; A distancia; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A tech services company is seeking a senior Data Engineer to design and implement data solutions across Snowflake, BigQuery, and AWS/GCP. The ideal candidate will have over 5 years of experience in data engineering, a strong grasp of modern data principles, and excellent communication skills. This position offers 100% remote work and competitive pay in USD, with an emphasis on work-life balance and professional growth.

Servicios

100% Remote Work

Highly Competitive USD Pay

Paid Time Off

Work with Autonomy

Work with Top American Companies

Formación

• 5+ years of experience in data engineering, building and maintaining data platforms and pipelines at scale.
• Strong expertise with Snowflake, BigQuery, and AWS/GCP-based data solutions.
• Deep understanding of modern data engineering principles, distributed systems, and data integration patterns.

Responsabilidades

• Lead the design and implementation of scalable data pipelines across Snowflake, AWS, and BigQuery.
• Develop automated workflows for ingestion, transformation, and processing.
• Collaborate with cross-functional teams to understand data requirements.

Conocimientos

Data engineering

AWS/GCP

Snowflake

BigQuery

Analytical skills

Problem-solving

Communication

Educación

Bachelor’s degree in Computer Science or related field

Descripción del empleo

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 technology-led marketing organization focused on building advanced analytics, measurement, and modeling solutions for global brands. The company specializes in modern data platforms, clean rooms, and identity resolution at scale.

Job Summary

We’re seeking a senior, self-driven Data Engineer who can lead the design and implementation of clean room and identity graph solutions. This role requires someone comfortable meeting with senior leaders, articulating technical work clearly, estimating project scope, and owning complex data engineering initiatives end to end. You will operate across Snowflake, BigQuery, and AWS/GCP environments to build scalable, efficient data systems powering consumer identity and analytics use cases.

Responsibilities

• Lead the design and implementation of scalable data pipelines across Snowflake, AWS, and BigQuery to support enterprise-wide data integration.
• Develop automated workflows for ingestion, transformation, and processing to ensure analytics-ready datasets.
• Build and optimize consumer identity graphs and audience data structures, improving accuracy and usability of digital identity assets.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality engineering solutions.
• Monitor, maintain, and optimize data pipeline performance, ensuring reliability, efficiency, and cost-effectiveness.
• Partner with product managers, data scientists, and external vendors to support clean room and identity solutions.
• Produce clear, thorough documentation of data architectures, pipelines, workflows, and engineering standards.
• Communicate progress, technical details, and project estimates to senior leadership and stakeholders.

Qualifications and Job Requirements

• 5+ years of experience in data engineering, building and maintaining data platforms and pipelines at scale.
• Strong expertise with Snowflake, BigQuery, and AWS/GCP-based data solutions.
• Deep understanding of modern data engineering principles, distributed systems, and data integration patterns.
• Hands‑on experience with consumer data integration and identity graph concepts.
• Strong analytical and problem‑solving skills with high attention to detail.
• Excellent communication skills for interacting with technical and non‑technical stakeholders.
• Ability to work independently, drive initiatives, and clearly articulate technical work.
• Bachelor’s degree in Computer Science or related field.

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!