Databricks Engineer- Remote

Databricks Engineer

Location: Remote
Work Hours: Must be available to work Eastern Time (ET)
Employment Type: Contract
Experience: 7+ years overall; 2+ years of hands-on Databricks experience

 

Job Overview

We are looking for an experienced Databricks Engineer / Data Engineer to join our team and play a key role in designing, developing, deploying, and optimizing modern cloud-based data solutions.

The ideal candidate will have strong hands-on experience with Databricks, PySpark, SQL, Delta Lake, Unity Catalog, AWS, data pipelines, streaming and batch processing, along with experience using modern Databricks capabilities such as Lakeflow Connect, Lakeflow Jobs, Spark Declarative Pipelines, and Databricks Declarative Automation Bundles (DABs).

This role requires someone who can work across the complete data engineering lifecycle, from data ingestion and pipeline development through deployment, monitoring, troubleshooting, and performance optimization.

 

 

Key Responsibilities

  • Design, develop, test, deploy, monitor, and optimize secure batch and streaming data pipelines.
  • Build scalable data ingestion pipelines using different ingestion patterns.
  • Develop data solutions using Databricks, PySpark, SQL, Delta Lake, and Unity Catalog.
  • Work with Lakeflow Connect, Lakeflow Jobs, and Spark Declarative Pipelines.
  • Develop and manage deployments using Databricks Declarative Automation Bundles (DABs), formerly known as Databricks Asset Bundles.
  • Implement data modeling concepts within data pipelines and analytical solutions.
  • Build automated data quality checks, validation rules, and pipeline expectations.
  • Implement CI/CD processes for data engineering workflows.
  • Use Git and related development practices for source control and deployment automation.
  • Develop and maintain both real-time/streaming and batch data processing solutions.
  • Monitor production pipelines and troubleshoot failures and performance issues.
  • Optimize data pipelines for scalability, reliability, and performance.
  • Support data preparation, data exploration, and visualization activities.
  • Collaborate with engineering and business teams to understand requirements and deliver secure, efficient data solutions.
  • Document existing and future-state data flows, architecture, and technical processes.
  • Participate in Agile development processes and team activities.

 

Required Technical Skills

  • 5+ years of experience designing and delivering cloud-based data solutions.
  • 2+ years of hands-on Databricks experience.
  • Strong experience with:
    • Databricks
    • Lakeflow Connect
    • Lakeflow Jobs
    • Spark Declarative Pipelines
    • Databricks Declarative Automation Bundles (DABs) / Databricks Asset Bundles
    • Unity Catalog
    • Delta Lake
    • PySpark
    • SQL

 

  • Experience developing batch and streaming data pipelines.
  • Experience with data ingestion, data transformation, and data modeling.
  • Experience implementing data quality, testing, monitoring, and pipeline validation.
  • Experience with Git and CI/CD.
  • Strong troubleshooting and production support experience.
  • Experience with AWS / Amazon Web Services is preferred.
  • Experience working in an Agile environment.

 

Preferred Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline, or equivalent professional experience.
  • Strong analytical and problem-solving skills.
  • Strong communication and collaboration skills.
  • Experience working with cross-functional engineering teams.
  • Experience optimizing large-scale data processing workloads.
  • Experience documenting data architecture and data flows.

 

Work Environment

  • Remote position
  • Candidate must be able to work during Eastern Time (ET) business hours.
  • Strong communication and collaboration skills are required for working with distributed engineering teams.

 

Ideal Candidate Profile

The ideal candidate is a hands-on Databricks Data Engineer who has built production-grade data pipelines using PySpark, SQL, Delta Lake, Unity Catalog, and AWS, and has experience with modern Databricks capabilities including Lakeflow and Declarative Automation Bundles.

Candidates should be comfortable owning data engineering work from ingestion → transformation → data quality → testing → deployment → monitoring → production troubleshooting → optimization.

Back to blog

Other Jobs To Apply

No other job posts for this day.

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...