Senior Data Engineer – Apache Spark, Scala

Job not on LinkedIn

🕒 April 21

🇲🇽 Mexico – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 40%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Scalepex

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Scalepex is a minority-owned company that specializes in talent solutions to help businesses scale and achieve their strategic goals. Leveraging a combination of creativity, strategy, and execution, Scalepex uses a unique AI platform to enhance the quality of talent, providing staffing and placement services to industries such as technology, finance, healthcare, and more. Their approach focuses on individualized support, cost management, and strategic consultation across areas like mergers and acquisitions, software development, data enablement, and more. With a strong emphasis on social responsibility, Scalepex aims to connect underserved communities with world-class opportunities, ensuring both client success and personal and professional satisfaction for their team members.

📋 Description

• Design, build, and scale robust data pipelines and analytics solutions • Work across the full data lifecycle—from ingestion and transformation to modeling and delivery • Contribute to architectural decisions and best practices

🎯 Requirements

• 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 • Sr Data Engineer will understand the business need and design the data pipelines, translate data into business insights, data cleansing and ETL.

🏖️ Benefits

• Contractor scheme • 100% Remote