Senior Databricks Engineer
FullStack
- Location
- USA
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Design and build production-grade data pipelines on Databricks
- Implement multi-hop architectures
- Build data services, APIs, or microservices for data consumption
- Implement monitoring, observability, and error handling
- Optimize data workloads for performance and cost efficiency
- Debug and resolve issues in distributed systems
- Create and maintain continuous integration and delivery of applications
Requirements
- 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
- 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
Preferred
- Experience working on Agile / Scrum teams
Skills
- Databricks
- Apache Spark
- Spark SQL
- PySpark
- Delta Lake
- SQL
- Python
- CI/CD
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