Senior Data Engineer – Azure Databricks at DataTheta
DataTheta · Remote · Posted today
About this role
DataTheta is hiring a Senior Data Engineer to design and build scalable data platforms using Azure Databricks and modern cloud technologies. You will architect ETL pipelines, optimize data models, and implement CI/CD practices for enterprise-grade data solutions. This role offers the opportunity to work with cutting-edge lakehouse architecture and contribute to healthcare data initiatives.
Skills required
Key responsibilities
Design and implement scalable data pipelines using PySpark and Azure Databricks
Develop and optimize ETL processes for large-scale data ingestion and transformation
Architect lakehouse solutions using ADLS and Cosmos DB for analytics workloads
Implement CI/CD practices and data quality frameworks for production deployments
Mentor junior engineers and establish data engineering best practices
About DataTheta
DataTheta is a forward-thinking data engineering firm specializing in cloud-native data platforms and analytics solutions. The company focuses on delivering scalable, secure, and efficient data infrastructure for enterprise clients. DataTheta values technical excellence, innovation, and collaborative problem-solving in a remote-first work environment.
Why you should apply
Work with modern cloud technologies and Azure Databricks in a remote-first environment
Opportunity to build scalable data platforms from scratch with immediate impact
Healthcare data experience opens doors to high-impact, regulated industry projects
Interview preparation tips
Prepare detailed examples of PySpark optimization techniques and performance tuning you’ve implemented
Be ready to discuss your experience with Azure Databricks architecture and lakehouse design patterns
Highlight any healthcare data projects and compliance considerations you’ve handled
Demonstrate knowledge of ETL pipeline design, data modeling, and CI/CD implementation strategies
Career growth path
Ready to apply?
Keep your updated resume, transcripts, and cover letter ready before you start the application.
Apply via Email: savita.bhatti@datatheta.com
Check the official careers page for deadline and instructions
Frequently asked questions
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Disclaimer: Job details are sourced from public postings. Please verify all information on the official company website before applying.
