Freelance Principal Data Engineer - Remote Mexico Mexico

Seamless Contacts, Inc; Mississippi; Remote; USD 90,000 - 140,000; Full time

Job summary

A leading technology company is seeking a Freelance Principal Data Engineer to join their team on a remote basis. The ideal candidate will have extensive experience with Python, AWS Glue, and ETL processes, managing large data sets to optimize performance and accuracy. This role emphasizes independence and requires strong problem-solving and communication skills, fitting for a self-motivated contractor in a dynamic environment.

Qualifications

• 7+ years of experience as a Data Engineer focusing on ETL and data integration.
• Professional experience with Spark and AWS pipeline development.
• Fluent in English and Spanish for international communications.

Responsibilities

• Design and maintain scalable ETL pipelines.
• Optimize data processing for large datasets.
• Ensure data governance and compliance with best practices.

Skills

Python

AWS Glue

Spark

SQL

Data Engineering

Data Governance

Data Security

Machine Learning

Problem Solving

Communication

Education

Bachelor's degree in Computer Science

Tools

ETL tools

Job description

Freelance Principal Data Engineer - Remote Mexico

Mexico

The Opportunity:

At Seamless.AI, we’re seeking a highly skilled and experienced Freelance Principal Data Engineer with expertise in Python, Spark, AWS Glue, and other ETL (Extract, Transform, Load) technologies. The ideal candidate will have a proven track record in data acquisition and transformation, as well as experience working with large data sets and applying methodologies for data matching and aggregation methodologies. This independent contractor role requires exceptional organizational skills and the ability to work autonomously while delivering high-quality solutions

This is an independent contractor position. The selected individual will provide services as a self-employed professional and will not be classified as an employee of Seamless.AI. Contractors are responsible for managing their own taxes, social security contributions, and business expenses.

Responsibilities:

• Design, develop, and maintain scalable ETL pipelines to acquire, transform, and load data from various sources into the data ecosystem.
• Work with stakeholders to understand data requirements and propose effective data acquisition and integration strategies.
• Implement data transformation logic using Python and relevant frameworks, ensuring efficiency and reliability.
• Utilize AWS Glue or similar tools to create and manage ETL jobs, workflows, and data catalogs.
• Optimize ETL processes to improve performance and scalability, particularly for large datasets.
• Apply data matching, deduplication, and aggregation techniques to enhance data accuracy and quality.
• Ensure compliance with data governance, security, and privacy best practices within the scope of project deliverables.
• Provide recommendations on emerging technologies and tools that enhance data processing efficiency.

Skillset:

• Strong proficiency in Python and experience with related libraries and frameworks (e.g., pandas, NumPy, PySpark).
• Hands-on experience with AWS Glue or similar ETL tools and technologies.
• Solid understanding of data modeling, data warehousing, and data architecture principles.
• Expertise in working with large data sets, data lakes, and distributed computing frameworks.
• Experience developing and training machine learning models.
• Strong proficiency in SQL.
• Familiarity with data matching, deduplication, and aggregation methodologies.
• Experience with data governance, data security, and privacy practices.
• Strong problem-solving and analytical skills, with the ability to identify and resolve data-related issues.
• Excellent communication and collaboration skills, with the ability to work effectively independently.
• Highly organized and self-motivated, with the ability to manage multiple projects and priorities simultaneously.

Education and Requirements:

• Bachelor's degree in Computer Science, Information Systems, related fields or equivalent years of work experience.
• 7+ years of experience as a Data Engineer, with a focus on ETL processes and data integration.
• Professional experience with Spark and AWS pipeline development required.
• Fluency in English and Spanish is required, as this role involves regular communication with international clients and team members. Applicants should have an advanced level of English in both written and verbal communication.

Data Protection & Privacy Compliance Statement

Seamless.AI is committed to protecting the privacy and security of your personal data. We process all candidate information in compliance with Mexico’s Ley de Protección de la Persona Frente al Tratamiento de sus Datos Personales (Law 8968). By submitting your application, you consent to us processing your personal data for recruitment purposes. Your information will be handled securely, used solely for hiring decisions, and retained only as necessary per applicable laws.

For more details on how we collect, store, and protect your data, or to exercise your rights under Mexican data protection laws, please refer to our Privacy Policy or contact us at [e-mail] .

Employment Terms

This is either a 6-month or 12-month contract depending on the needs of the business with the possibility of renewal based on performance and business need. Compensation will be based on project milestones, deliverables, or a fixed contractual rate, as agreed upon in the service contract. This role does not include employer-provided benefits. Contractors are responsible for their own business expenses and social security contributions (CCSS) pursuant to Mexico’s tax and social security laws as independent professionals.

About Seamless.AI

Seamless.AI has been delivering the world's best sales leads since 2015. Our product is the first real time, B2B search engine helping sales teams maximize revenue, increase sales, and easily acquire their total addressable market using artificial intelligence.

Seamless delivers the world’s best sales leads. Through our product, we help sales teams maximize revenue, increase sales, and easily acquire their total addressable market using artificial intelligence; by development of a robust real-time contact and company search engine as well as a suite of technically-advanced tools to support sales and lead generation. We have been recognized as one of Ohio’s fastest growing companies and have been recently ranked No. 7 in LinkedIn's Top 50 Startups of 2022, featured in Forbes as #1 Software company in Ohio in 2022, and on G2’s “Top 100 Highest Satisfaction Products for 2022” list!

We are an equal opportunity employer and value diversity at our company. Seamless.AI does not discriminate based on race, religion, gender, sexual orientation, age, or other protected statuses. All qualified applicants will receive equal consideration for employment. Visa Sponsorship is not included in our hiring package. Applicants must have the legal right to work in Mexico.

If you require any adjustments or accommodations at any stage of the application process due to a disability or other needs, please let us know by contacting [e-mail]. We are committed to maintaining a safe and inclusive workplace, in compliance with Mexico’s labor and occupational health regulations.

Check out what our employees think about working at Seamless: CLICK HERE

Since 2015,Seamless.AI has helped sales teams maximize revenue with the world’s first real-time B2B search engine. As one of Ohio’s fastest-growing companies, we’ve earned top industry accolades, including G2’s 2025 Best Software Products (#1 Highest Satisfaction Product), Purpose Jobs’ 2024 Best Places to Work, and LinkedIn’s Top 50 Tech Startups (2020, 2022, 2023). We are committed to a diverse, inclusive workplace and do not discriminate based on race, religion, gender, sexual orientation, age, or other protected statuses. Visa sponsorship is not available; applicants must be authorized to work in the U.S.

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