Senior Data Engineer (Databricks Focus)

Scale Up Recruiting Partners; San Juan (PR); Remote; USD 100,000 - 140,000; Full time

Job summary

A leading company is seeking a Senior Data Engineer (Databricks Focus) to build scalable data solutions remotely. The ideal candidate will have strong expertise in Databricks and experience in developing data pipelines and architectures. If you enjoy working in collaborative environments on innovative projects, we want to hear from you!

Qualifications

• 5+ years of experience in data engineering or similar roles.
• Proven experience with Databricks is a must.
• Ability to thrive in fast-paced, remote environments.

Responsibilities

• Design and build scalable data pipelines using Databricks and Apache Spark.
• Develop and maintain data models using ER/Studio or IBM Data Architect.
• Collaborate on real-time integration with Apache Kafka and Azure Data Factory.

Skills

Data modeling

ETL development

Pipeline optimization

Big data technologies

SQL

Python

Apache Spark

Databricks

Data visualization

English communication

Tools

Databricks

Apache Spark

Amazon Redshift

Snowflake

Tableau

Power BI

Looker

Jira

Confluence

Git

Job description

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Title: Senior Data Engineer (Databricks Focus)

Location: Remote – LATAM candidates encouraged to apply

We are hiring a

Title: Senior Data Engineer (Databricks Focus)

Location: Remote – LATAM candidates encouraged to apply

We are hiring a Senior Data Engineer for one of our clients, an innovative global company that builds impactful digital solutions. They are looking for someone with strong hands-on experience in Databricks and a solid background in building and optimizing data pipelines and architectures.

This is a long-term remote opportunity working with an international and collaborative team on cutting-edge data projects.

What You’ll Be Doing

• Design and build scalable data pipelines using Databricks, Apache Spark, and modern ETL frameworks.
• Work with structured and unstructured data from relational (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.
• Develop and maintain data models using tools like ER/Studio or IBM Data Architect.
• Implement and optimize data warehousing solutions like Amazon Redshift or Snowflake.
• Collaborate on real-time data integration using Apache Kafka, Apache Flink, and Azure Data Factory.
• Ensure data security and access control with tools such as Apache Ranger and HashiCorp Vault.
• Work closely with analytics teams to enable data visualization with tools like Tableau, Power BI, or Looker.
• Use Jira, Confluence, and Git for task management and documentation.
• Follow software engineering best practices using SQL, Python, and optionally R.
  
  

What We’re Looking For

• 5+ years of experience in data engineering or similar roles.
• Proven experience with Databricks (must-have).
• Strong background in data modeling, ETL development, and pipeline optimization.
• Experience with Apache Spark, big data technologies, and cloud platforms (preferably AWS).
• Proficiency in SQL and at least one scripting language (Python or R).
• Ability to thrive in fast-paced, cross-functional, and remote environments.
• Advanced English communication skills.
  
  

If you are passionate about building robust data infrastructure and want to work on innovative projects, we’d love to hear from you!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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