Senior Data Engineer, Databricks

Bonapolia

. Define and enforce best practices and coding standards across the project .

Posted 9/23/2026contractRemote • Poland, Georgia, Armenia, Uzbekistan, Azerbaijan, KazakhstanSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing Spark applications, with strong proficiency in Python and SQL for data manipulation. Capable of enforcing coding standards, conducting code reviews, and collaborating effectively with cross-functional teams to deliver high-quality software solutions.

Highest-signal resume keywords

Spark Application DevelopmentPySpark on DatabricksSQL Stored ProceduresPython for Data ManipulationMicroservices Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SparkPySparkSQLPythonData ProcessingData AnalysisDelta TablesPerformance OptimizationCode ReviewDocumentation

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCollaborationDetail-Oriented

Tools & Technologies

DatabricksAzure Cloud ServicesFastAPIDockerKubernetes

Industry Keywords

MicroservicesColumnar Data StorageParquetWorkflow AutomationScalable Systems

Tech Stack

Tools & technologies

AzureCloudDockerKubernetesMicroservicesPandasPySparkPythonRedisSparkSQL

About the role

Key responsibilities & impact

Define and enforce best practices and coding standards across the project
Conduct thorough code reviews to maintain high code quality
Work independently and collaboratively with the team
Communicate clear instructions to team members and help manage day-to-day operations
Communicate regularly with the client
Design, develop, and maintain robust and scalable Spark applications
Write clean, maintainable, and efficient code
Optimize code for performance and scalability
Collaborate with cross-functional teams to deliver high-quality software solutions
Identify and resolve technical issues to ensure application reliability and performance
Create and maintain comprehensive documentation for code, processes, and workflows

Requirements

What you’ll need

5+ years of hands-on experience in software development
Practical experience developing SQL stored procedures and migrating them into Spark SQL or PySpark environments
Extensive expertise using PySpark on Databricks, including Delta tables, cluster management, and workflow automation
Proven track record of optimizing Spark performance within production-level projects
Strong proficiency in Python for complex data manipulation using libraries such as Polars or Pandas
Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
Proven expertise in data processing, analysis, and transformation workflows
Strong analytical and problem-solving abilities with a detail-oriented mindset
Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals
Solid understanding of microservices architecture and its implementation in scalable systems
Advanced English level
Nice to have: experience with Azure Cloud services or other major cloud platforms, including Service Bus, Data Lake, Blob Storage, Redis, and more
Nice to have: familiarity with FastAPI
Nice to have: expertise in Docker and Kubernetes

Benefits

Comp & perks

B2B contract with Bonapolia
Monthly invoice payment, usually on the same schedule the client pays Bonapolia (usually 30 days)
Contract written under the candidate's country's law
Bonapolia handles client-side paperwork: MSA, NDA, and invoicing
Fully remote work