Senior Databricks Engineer - Remote - USA

FullStack Labs

$120K — $150K *
US-AnywhereRemote in Richmond, VA
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of professional data engineering experience.
  • Advanced English proficiency required.
  • Bachelor's degree in a relevant field required.
  • Strong experience in designing and building production-grade data pipelines on Databricks.
  • Deep hands-on expertise with Apache Spark, including Spark SQL and PySpark.
  • Advanced knowledge of Delta Lake and its features.
  • Expert-level SQL and Python knowledge.

Responsibilities

  • Integrate directly into client teams to collaborate with their designers and engineers.
  • Contribute to the design and building of products within FullStack product teams.
  • Build and deliver scalable data pipelines for clients.
  • Implement multi-hop architectures to streamline data flow.
  • Ensure performance and cost efficiency of data workloads.
  • Create and maintain continuous integration and delivery of data applications.
  • Monitor, observe, and handle errors in distributed systems.

Benefits

  • Competitive salary package.
  • Flexible, 100% remote work environment.
  • Collaboration opportunities with leading startups and Fortune 500 companies.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) plan with a 4% company match.
  • Paid time off including vacation, sick leave, and parental leave.
  • Opportunities for career advancement and continuing education.
Full Job Description
The Position

We're looking to hire a Senior Databricks Engineer to join our team. You'll work with our incredible clients in one of two ways:

  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.


What We Are Looking For

  • 5+ years of professional data engineering experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Strong experience designing and building production-grade data pipelines on Databricks.
  • Deep hands-on expertise with Apache Spark (Spark SQL and PySpark).
  • Advanced knowledge of Delta Lake, including ACID transactions and data versioning.
  • Expert-level SQL and Python, with a focus on scalable data transformations.
  • Proven experience implementing multi-hop architectures.
  • Strong understanding of software engineering principles applied to data systems.
  • Experience building data services, APIs, or microservices for data consumption.
  • Demonstrated ability to implement monitoring, observability, and error handling.
  • Experience optimizing data workloads for performance and cost efficiency.
  • Familiarity with data quality frameworks and automated validation.
  • Ability to debug and resolve issues in distributed systems.
  • Experience working in regulated environments with strict security requirements.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.


What We Offer

  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays)
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.


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