Scalepex

Tech / AI / Software

DataEngineer(BigData+FullStackexposure)

Mexico CONTRACT Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Engineer (Big Data + Full Stack exposure) at Scalepex. Skills: Data Engineering, Big Data, Full Stack exposure, data pipelines, analytics solutions, Databricks, Apache Spark, Python, AWS. design, build, and scale robust data pipelines and analytics solutions. hands-on development”

What You'll Achieve.

scale efficiently and effectively through exceptional services; building high-performing teams; make a real impact; power business insights and analytics products

Industry & Context.

Tech / AI / Software
Problems you'll solve

translate data into business insights

What They're Looking For.

Must Have

data engineering or software development at an enterprise level, Apache Spark (Scala), Python, MySQL, relational databases, Columnar storage formats, AWS ecosystem, data lake architectures, Airflow for orchestration, Databricks, CI/CD pipelines, GitHub Actions, data modeling, storage, access patterns, highly scalable, high-volume data systems, ETL processes, data integration layers

Nice to Have

Java, Angular or Play Framework, Tableau or other BI tools, Aerospike or NoSQL databases, Hadoop ecosystem, EMR management, AdTech or digital media environments, Linux systems

What You'll Do.

and scale robust data pipelines and analytics solutions

ensuring high-quality data systems

work across the full data lifecycle—from ingestion and transformation to modeling and delivery

contributing to architectural decisions and best practices

understand the business need and design the data pipelines

translate data into business insights

data cleansing and ETL

Gather requirements from vested teams to build features

use their love of user interfaces to balance design and function

Understand the priorities and ensures the deliverables stick to the timeline and complete projects on time

How You'll Work.

Team & Collaboration

Be a team player who works effortlessly with people; Gather requirements from vested teams

Process & Methodology

Understand the priorities and ensures the deliverables stick to the timeline and complete projects on time

Full 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. **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 or

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