Data Engineer - Databricks (Remote)

Lumenalta; United States; Remote; MXN 1,426,533 - 2,139,800; Full time

Job summary

A data solutions company is seeking a Senior Data Engineer to join their remote team. The role involves building and scaling data solutions, designing ETL/ELT pipelines using Databricks, and working with large datasets. Candidates should have over 7 years of experience in data engineering, strong skills in Python, SQL, and AWS, and fluent English. This flexible remote position allows for collaboration across multiple time zones with a deadline for applications set for April 30, 2026.

Qualifications

• 7+ years of experience as a Data Engineer.
• Strong hands-on experience with Databricks in production environments.
• Proven experience designing end-to-end data pipelines.

Responsibilities

• Design, build, and maintain scalable ETL / ELT pipelines using Databricks.
• Work with large, complex datasets in production environments.
• Write clean, efficient, and maintainable Python and advanced SQL.

Skills

Python

SQL (advanced)

PySpark

Databricks

AWS

English (Fluent)

Job description

We work with global enterprises to design and build data platforms that power digital products used by millions of users. Our projects involve large-scale datasets, complex distributed pipelines, and real business impact.

We’re looking for a Senior Data Engineer to join our remote team and take ownership of building and scaling data solutions using Databricks on AWS. This is a hands‑on senior IC role with strong influence on architecture and implementation.

This is an evergreen role. We continuously meet talented engineers to support upcoming client projects. While there may not be an immediate opening, qualified candidates may be considered for future engagements.

What You'll Do

• Design, build, and maintain scalable ETL / ELT pipelines using Databricks, PySpark, and AWS
• Work with large, complex datasets in production environments
• Write clean, efficient, and maintainable Python and advanced SQL
• Build pipelines from scratch, not just maintain existing ones
• Ensure data quality, performance, reliability, and cost efficiency
• Collaborate closely with product, analytics, and engineering teams to translate business needs into technical solutions
• Contribute to architectural decisions and data engineering best practices

What We're Looking For

• 7+ years of experience as a Data Engineer
• Strong, hands‑on experience with: Python, SQL (advanced), PySpark, Databricks (production experience required) and AWS
• Proven experience designing and building end-to-end data pipelines
• Solid understanding of distributed data processing and data modeling
• Fluent English, both written and spoken

This is a fully remote position open to candidates based in Latin America (LATAM). While location is flexible, candidates must be willing to maintain at least a 6-hour overlap with core business hours, which are primarily aligned with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with project teams.

Application Deadline

This role is an evergreen position with no predetermined start date. Applications will be accepted until April 30, 2026. As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals.