Senior Data Engineer (PySpark) - Technology

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

Descripción de la vacante

A leading technology firm located in Mexico is seeking a skilled data professional to maintain and optimize data projects. The ideal candidate will possess expertise in PySpark, SQL, and AWS, while also displaying strong organizational and communication skills. This role offers 100% remote work, highly competitive USD pay, and opportunities to collaborate with top American companies on impactful projects. Join a dynamic team that values your skills and fosters career growth.

Servicios

100% Remote Work

Highly Competitive USD Pay

Paid Time Off

Work with Autonomy

Work with Top American Companies

Formación

• Strong proficiency in PySpark and experience with distributed computing frameworks.
• Solid understanding of SQL (Presto, Athena), Python, and shell scripting.
• Hands-on experience with the AWS cloud ecosystem.

Responsabilidades

• Provide maintenance and technical support for existing data projects.
• Evaluate and onboard potential data providers.
• Assess prospective clients interested in data services.

Conocimientos

PySpark

SQL (Presto, Athena)

Python

Shell scripting

AWS cloud ecosystem

ETL pipelines

Communication skills

Organizational skills

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

Enterprise software company built to bridge the gap between people and the brands they interact with. Their cloud‑based platform brings together mobile and location insights, consumer feedback, third‑party data, and behavioral intelligence to reveal the stories behind consumer actions. By connecting these signals, they help organizations gain meaningful, real‑time understanding of people—turning data into deeper human awareness at scale.

Job Summary

This role is responsible for maintaining and optimizing data projects to ensure high performance, reliability, and scalability. This role supports data services initiative by strengthening data‑driven capabilities through the integration of reliable data sources and improved client engagement.

Responsibilities

• Provide maintenance and technical support for existing data projects to ensure performance, reliability, and scalability.
• Evaluate and onboard potential data providers, ensuring alignment with business and technical requirements.
• Assess prospective clients interested in data services, identifying opportunities for integration and value creation.
• Collaborate with cross‑functional teams to enhance data quality, streamline operations, and support ongoing data strategy initiatives.
• Contribute to the continuous improvement of data workflows and service delivery processes.

Qualifications and Job Requirements

• Strong proficiency in PySpark and experience with distributed computing frameworks.
• Solid understanding of SQL (Presto, Athena), Python, and shell scripting.
• Hands‑on experience working with the AWS cloud ecosystem, including S3, EC2, EMR, Glue, Athena, and related services.
• Proven ability to build and maintain robust ETL pipelines using Hive Query Language, Presto SQL, and shell scripts to integrate datasets from diverse sources for predictive modeling.
• Comfortable working in a fast‑paced, agile environment with limited documentation.
• Strong organizational and communication skills, with the ability to collaborate effectively across teams.

Nice to Have

• Experience working with Graph Databases.
• Background in building scalable and distributed ETL pipelines on AWS, ideally using PySpark.
• Familiarity with Apache Airflow for data orchestration and workflow management (training can be provided).
• Experience in performance tuning and optimization of Spark jobs.
• Knowledge of designing resilient big data schemas on the Apache Hadoop platform (at petabyte scale) to support predictive modeling and analytics workflows that enhance marketing ROI.

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!