Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO

Scalepex; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

100% Remote

Contractor scheme

Job summary

Scalepex is seeking a Data Engineer / Senior Data Engineer to design, build, and scale robust data pipelines and analytics solutions. You will work across the full data lifecycle—from ingestion and transformation to modeling and delivery—while contributing to architectural decisions and best practices.

You will collaborate with cross-functional teams in a fast-paced environment, leveraging Databricks, AWS data lake concepts, and CI/CD workflows to deliver high-quality data products and insights.

Qualifications

• 3-7 years of experience in data engineering or software development at an enterprise level.
• Strong hands-on experience with: Apache Spark (Scala), Python, MySQL and columnar storage formats (Parquet).
• Experience with AWS ecosystem, including data lake architectures.
• Familiarity with Airflow, Databricks, and GitHub Actions.

Responsibilities

• Design, build, and scale robust data pipelines and analytics solutions.
• Contribute to architectural decisions and best practices.
• Gather requirements from vested teams to build features.
• Collaborate across teams to ensure timely delivery and data quality.

Skills

Data engineering

ETL design

Data modeling

Big data analytics

Tools

Apache Spark (Scala)

Python

MySQL

Parquet

Airflow

Databricks

GitHub Actions

Aerospike

Play Framework

Angular

Tableau

Hadoop/EMR

Linux systems

AWS data lake

Job description

About Scalepex

Scalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries.

At Scalepex, we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact.

Job Summary

We are looking for a Data Engineer / Senior Data Engineer to design, build, and scale robust data pipelines and analytics solutions. This role combines hands-on development with technical leadership, ensuring high-quality data systems that power business insights and analytics products.

You will work across the full data lifecycle-from ingestion and transformation to modeling and delivery-while contributing to architectural decisions and best practices.

Key Responsibilities

• Sr Data Engineer will understand the business need and design the data pipelines, translate data into business insights, data cleansing and ETL.
• Experience in Databricks, GitHub Actions.
• Understand CI/CD, Aerospike
• Gather requirements from vested teams to build features.
• Self-motivated individual will use their love of user interfaces to balance design and function, and thrive in a fast-paced environment, knowledge in Angular / Play Framework is a plus.
• Understand the priorities and ensures the deliverables stick to the timeline and complete projects on time.
• Be a team player who works effortlessly with people.

Required Qualifications

• 3-7 years of experience in data engineering or software development at an enterprise level
• Strong hands-on experience with:
  • Apache Spark (Scala)
  • Python
  • MySQL and relational databases
  • Columnar storage formats (e.g., Apache Parquet)
• Experience with AWS ecosystem, including data lake architectures
• Familiarity with:
  • Airflow for orchestration
  • Databricks
  • CI/CD pipelines (e.g., GitHub Actions)
• Strong understanding of data modeling, storage, and access patterns
• Experience building highly scalable, high-volume data systems
• Solid understanding of ETL processes and data integration layers

  Preferred Qualifications

  • Experience with:
    • Java
    • Angular or Play Framework
    • Tableau or other BI tools
    • Aerospike or NoSQL databases
  • Knowledge of Hadoop ecosystem and EMR management
  • Experience working in AdTech or digital media environments
  • Familiarity with Linux systems
  • Contractor scheme
  • 100% Remote