> Markdown version of [/jobs/ext/2606570-azure-databricks-data-engineer](https://www.wearedevelopers.com/jobs/ext/2606570-azure-databricks-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Azure Databricks Data Engineer

- **Company:** LTM Inc
- **Location:** Raritan, NJ, United States
- **Salary:** $100,000.0 - $135,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Amazon Web Services, Microsoft Azure, Computer Programming, Continuous Integration, Information Engineering, Data Governance, Data Security, Data Warehousing, Software Design Patterns, DevOps, Identity and Access Management, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, Query Optimization, Software Deployment, Software Engineering, SQL Databases, Data Streaming, Workflow Management Systems, Data Processing, Azure Data Factory, Delivery Pipeline, Data Lakes, Pyspark, Git Flow, Deployment Automation, AWS Glue, Software Version Control, Data Pipelines, Key Vault, Databricks
- **Published:** August 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=55b8b8abc753de7f

## About the Role

We are looking for a highly motivated Data Engineer with strong expertise in Databricks and modern data engineering practices

The ideal candidate should have handson experience in building scalable data pipelines notebooks implementing CICD processes

and working with Delta Lake technologies The candidate must possess excellent Python programming skills

a solid understanding of Unity Catalog and the ability to collaborate effectively within large crossfunctional teams, Databricks Strong

Strong understanding of Databricks architecture and ecosystem

Handson experience with

Delta Lake

Delta Sharing

Unity Catalog

Structured Streaming

Workflow orchestration

Performance tuning and optimization

Data governance and access management

Experience with Medallion Architecture Bronze Silver Gold layers

Programming

Strong handson coding experience in Python

Experience with PySpark for largescale data processing

Good understanding of SQL and query optimization

DevOps CICD

Experience implementing CICD processes for Databricks workloads

Familiarity with Gitbased source control and branching strategies

Experience with deployment automation tools and DevOps pipelines

Data Engineering Concepts

ETLELT design patterns

Data modeling and data warehousing concepts

Data quality monitoring and observability frameworks

Good to Have Skills

AWS Cloud

AWS Glue

S3

IAM

Lambda

Azure Cloud

Azure Data Factory ADF

Azure Storage

Azure Databricks

Key Vault

Soft Skills

Excellent verbal and written communication skills

Strong problemsolving and analytical abilities

Ability to work effectively in a large global team environment

Strong stakeholder management and collaboration skills

Selfdriven proactive and able to work independently with minimal supervision"

Skills

Mandatory Skills : Databricks
Other details

## Description

Design develop and maintain scalable ETLELT pipelines Notebooks using Databricks

Build and optimize data processing solutions using PySpark and Python

Implement and manage data governance security and access controls using Unity Catalog

Work with Delta Lake features including Delta Sharing Time Travel Change Data Feed CDF and data optimization techniques

Develop and maintain CICD pipelines for Databricks deployments using industrystandard DevOps practices

Perform performance tuning and optimization of Databricks workloads

Collaborate with architects business analysts and stakeholders to understand data requirements and deliver solutions

Support production deployments troubleshooting monitoring and performance improvements

Follow coding standards documentation and best practices for software development lifecycle SDLC


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)