Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO
At a glance
Mid-level Data Engineering role at Scalepex. Remote, Mexico · contract.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Design data pipelines around business needs, then turn source data into useful insights through cleansing and ETL
- Build data features from requirements gathered with stakeholder teams
- Keep project work aligned with priorities and deadlines, contributing to sound data architecture and practices
- Use your interest in user interfaces to balance usability and function when contributing to development
What you bring
- You have three to seven years in enterprise data engineering or software development
- You bring hands-on experience with Spark in Scala, Python, MySQL and relational databases, plus columnar formats such as Parquet
- You have worked with AWS data lakes, Airflow, Databricks and CI/CD pipelines, including GitHub Actions
- You understand data modeling, storage and access patterns, and have built scalable systems that process high data volumes
Who this fits
This is a contractor role, fully remote and limited to people in Mexico. It suits a mid-level data engineer who can work hands-on across pipelines and analytics while contributing to technical decisions. Angular or Play Framework, Java, BI tools, Aerospike or other NoSQL, Hadoop and EMR, AdTech or digital media, and Linux are useful extras.
From the employer
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.
Requirements
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
Benefits
- Contractor scheme
- 100% Remote
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