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Senior Data Engineer — Azure, Databricks & ML Pipelines | Remote

July 29, 2026

Headquarters: Remote
URL:

About the Role

We're looking for a Senior Data Engineer to design, build, and maintain scalable data pipelines and ML-ready infrastructure on Azure and Databricks. This is a hands-on engineering role: you'll own the full data pipeline lifecycle — ingestion, transformation, orchestration, and deployment — while supporting machine learning workflows with clean, reliable data. If you're comfortable owning infrastructure decisions and writing production-quality Python at scale, this role is built for that.

What You'll Do

Design, build, and maintain data pipelines using Databricks and Azure-native data services
Develop and optimize ETL/ELT processes to support analytics and machine learning workloads
Build and maintain CI/CD pipelines for data engineering and ML deployment workflows
Write clean, efficient, production-quality Python for data processing and pipeline automation
Support machine learning teams with well-structured, high-quality datasets and feature pipelines
Design and manage data architecture across Azure services (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse)
Monitor pipeline performance, troubleshoot data quality issues, and implement reliability improvements
Implement data governance, security, and access control best practices
Collaborate with data scientists, analysts, and software engineers to align data infrastructure with business needs
Participate in code reviews, architecture discussions, and technical planning

What You Bring

Strong hands-on experience with Azure cloud data services
Proven experience building and maintaining pipelines on Databricks
Solid experience designing and managing CI/CD pipelines for data or ML workflows
Strong Python skills for data engineering and pipeline development
Working knowledge of machine learning workflows and how data engineering supports them
Experience with SQL and relational/distributed data systems
Understanding of data pipeline orchestration, monitoring, and reliability practices
Strong problem-solving skills and ability to work independently on complex data infrastructure challenges
Solid communication skills for collaborating with data science and engineering teams

Nice to Have

Experience with MLOps practices and tools (MLflow, Azure ML)
Familiarity with Spark internals and performance tuning within Databricks
Experience with infrastructure-as-code (Terraform, Bicep, ARM templates)
Exposure to real-time/streaming data pipelines (Kafka, Event Hubs, Structured Streaming)
Relevant Azure or Databricks certifications

Why This Role

Full pipeline ownership: Own data infrastructure end to end, from ingestion through ML-ready delivery
Modern data stack: Work with Azure and Databricks, leading platforms in enterprise data engineering
Cross-functional impact: Directly enable machine learning and analytics outcomes, not just move data
Flexibility: Remote-friendly engagement structure

How to Apply

Ready to bring your data engineering expertise to Azure and Databricks-powered ML infrastructure? Apply through Toptal here:

To apply:

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...