Truelogic

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Senior Data Engineer - Digital Marketing (Mexico)

Work from home

Remote role where the employee must remain based in a particular country.

Listed for Mexico

From the listing details: Source listing states candidate location: "Mexico City, Remote"

Employer listed it 7 days ago · Added 12 days ago

First listed 12 days ago and still open.

Salary

Not stated

Location

Listed for Mexico

Timezone

Not stated

Contract

Full-time

Experience

Senior

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S.
Contract: Not mentioned in the advert
Experience asked for: They are looking for a skilled Data Engineer with 5–7 years of experience to join their team.
Pay: Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in Mexico. It is work from home rather than work from anywhere.

What the employer says

Source listing states candidate location: "Mexico City, Remote"
Job description states: "based in Latin America"

What Nomaders makes of it

Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

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

Our client is a challenger holding company built to transform marketing through a faster, cheaper, and more accessible media mix modelling (MMM) and scenario planning solution.

Job Summary

They are looking for a skilled Data Engineer with 5–7 years of experience to join their team. The ideal candidate will have hands-on expertise in ETL pipelines, data transformations, and performance optimization, with strong problem-solving skills and the ability to communicate effectively across technical and non-technical teams.

Responsibilities

Pipeline Architecture: Design, build, and maintain scalable ETL pipelines for large-scale data processing.

Core Tech Stack: Work extensively with PySpark and Databricks to execute complex data transformations and workflows.

Optimization & Efficiency: Fine-tune data pipelines to maximize performance, scalability, and cloud cost-efficiency.

Cross-Functional Collaboration: Partner with engineering and business teams to translate requirements into high-quality data solutions.

Troubleshooting & Maintenance: Debug, resolve, and prevent complex data processing and pipeline bottlenecks.

Data Standards: Enforce best practices for data quality, governance, and system performance.

Qualifications and Job Requirements

Experience: 5–7 years of hands-on data engineering experience building production-grade solutions.

Core Technologies: Strong proficiency in PySpark and extensive hands-on experience with Databricks.

Specialized Expertise: Advanced knowledge of Databricks AutoLoader, Python, best practices, performance tuning, and compute cost optimization.

Data Architecture: Deep understanding of end-to-end ETL processes, complex data transformations, and pipeline optimization.

Core Competencies: Exceptional problem-solving skills and the ability to communicate technical concepts clearly across both technical and business teams.

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.

Requirements

·Experience: 5–7 years of hands-on data engineering experience building production-grade solutions.
·Core Technologies: Strong proficiency in PySpark and extensive hands-on experience with Databricks.
·Specialized Expertise: Advanced knowledge of Databricks AutoLoader, Python, best practices, performance tuning, and compute cost optimization.
·Data Architecture: Deep understanding of end-to-end ETL processes, complex data transformations, and pipeline optimization.
·Core Competencies: Exceptional problem-solving skills and the ability to communicate technical concepts clearly across both technical and business teams.

Benefits

·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.

How to apply

1Check the flexibility label above, work from home, matches where you plan to live and work.
2Tailor your CV to the role at Truelogic, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 13d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.