Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO
LocationMexico
Work moderemote
Typecontract
SenioritySenior
Experience3–7 yrs
Company size201–500 people
PostedApr 21, 2026 · 5mo ago
Verified live10h ago
At a glanceSummarised by Seekless from the posting.
Must have12
3–7 years of experience in data engineering or software development at an enterprise level
Strong hands-on experience with Apache Spark (Scala)
Strong hands-on experience with Python
Strong hands-on experience with MySQL and relational databases
Strong hands-on experience with columnar storage formats (e.g., Apache Parquet)
Experience with AWS ecosystem, including data lake architectures
Familiarity with Airflow for orchestration
Experience with Databricks
Experience with 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
Nice to have7
Experience with Java
Experience with Angular or Play Framework
Experience with Tableau or other BI tools
Experience with Aerospike or NoSQL databases
Knowledge of Hadoop ecosystem and EMR management
Experience working in AdTech or digital media environments
Familiarity with Linux systems
Skills
Databricks
GitHub Actions
Aerospike
Angular
Play Framework
Apache Spark (Scala)
Python
MySQL
Apache Parquet
AWS
Airflow
Java
Tableau
Hadoop
EMR
Linux
Benefits
Remote stipend
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