Databricks Engineer

Confidential

Not specified permanent

Posted: April 10, 2026

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Quick Summary

Design, develop, and maintain scalable data pipelines using Databricks and related technologies. Work with structured and unstructured data across multiple platforms and teams.

Required Skills

Databricks Data Engineering Python SQL Data Pipelines Cloud Platforms AWS Azure GCP Data Warehousing Version Control

Job Description

JOB SUMMARY:

We are seeking a mid-level Data Engineer with hands-on experience in Databricks to support the design, development, and optimization of scalable data solutions. The ideal candidate will have strong experience in data engineering principles, working with modern data platforms, and collaborating within cross-functional teams in a fast-paced environment.

JOB RESPONSIBILITIES:

Design, develop, and maintain data pipelines using Databricks and related technologies

Build and optimize ETL/ELT processes for large-scale data processing

Work with structured and unstructured data across multiple data sources

Develop and manage data models to support analytics and reporting requirements

Collaborate with stakeholders including data analysts, developers, and business teams to understand data needs

Ensure data quality, integrity, and governance across data platforms

Monitor and troubleshoot data workflows and performance issues

Contribute to continuous improvement of data engineering practices and standards

JOB QUALIFICATIONS:

Minimum 2+ years of experience in data engineering

Hands-on experience with Databricks

Strong proficiency in Python and/or SQL

Experience with data pipeline development and data transformation frameworks

Familiarity with cloud platforms (e.g., Azure, AWS, or GCP)

Understanding of data warehousing concepts and modern data architectures

Experience with version control tools (e.g., Git)

Strong problem-solving skills and attention to detail

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