Big Data Engineer (Databricks)

Worldwide | Oct. 8, 2026

Report as Closed

Company: Improving

Country: Worldwide

Salary: $37,200 - $42,000

Type: Remote

Employment: Full-time

Description: Improving is an IT services firm focused on AI, Data, and Applications. We modernize legacy systems, build cloud-native platforms, and deliver future-ready solutions through collaborative, long-term partnerships that drive measurable outcomes.

At Improving South America, we provide IT services to transform the perception of the IT professional. We focus on IT consulting, software development and agile training.

The company promotes an exceptional work culture based on teamwork, excellence and fun, with a focus on personal growth and shared rewards. By joining, the candidate will become part of a community that prioritizes open communication and strong long-term working relationships, supported by a structure of professional development and continuous learning.

Experience with Databricks Asset Bundles (DAB).
Experience using Azure DevOps.
Knowledge of incremental processing and schema evolution.
Healthcare or Insurance industry experience.
Experience with cloud-based data platforms.

We are looking for a Data Engineer with hands-on experience in Databricks, Python, and SQL to support the development and optimization of modern data solutions. The ideal candidate will contribute to data pipeline development, Delta Lake implementation, data governance initiatives, and CI/CD processes while working closely with senior engineers and cross-functional teams.

Key responsibilities

Develop and maintain data pipelines using Databricks.
Support the design and optimization of Delta Lake tables.
Work with Unity Catalog to support data governance and access management.
Participate in CI/CD processes using Azure DevOps and Databricks Asset Bundles (DAB).
Implement incremental data processing and support schema evolution requirements.
Collaborate with team members to troubleshoot data quality and performance issues.
Assist with data modeling activities and platform optimization efforts.
Document solutions and follow engineering best practices.
Ideally 5 YOE

Conditions