Senior Databricks Engineers
# Senior Databricks Engineers **EXL** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Databricks-Engineer]` `[Data-Platform-Engineer]` `[Solutions-Architect]` `[Senior-Databricks-Engineer]` `[Senior-Databricks-Developer]` `[Senior-Databricks-Architect]` `[Databricks-Data-Engineer]` `[Databricks-Engineering]` `[Senior-Data-Engineer-Positions]` `[Senior-Data-Engineer-Roles]` `[Data-Engineering-(Databricks)]` `[Databricks-Developer]` --- ### About the Role Databricks Data engineer (Remote, USA) Position Summary We are seeking an experienced Databricks Solution Architect to join our growing healthcare analytics team. This is a full-time, remote position based in the United States. The ideal candidate will have strong hands-on experience designing and implementing scalable data solutions on Databricks and cloud platforms, with a deep understanding of healthcare data and modern data architecture. This role is an individual contributor position responsible for solution design, technical leadership, and delivering high-quality data platforms that support analytics, reporting, and operational decision-making. Key Responsibilities - Design and implement scalable data solutions using Databricks Lakehouse architecture. - Develop and optimize batch and real-time data pipelines for large-scale data processing. - Lead technical solution design for data integration, transformation, and analytics workloads. - Collaborate with business stakeholders, data engineers, analysts, and product teams to translate requirements into technical solutions. - Implement data governance, security, and data quality best practices using Unity Catalog and related technologies. - Optimize performance, reliability, and cost efficiency of Databricks workloads. - Support data warehouse modernization and cloud migration initiatives. - Create architecture documentation, technical standards, and design guidelines. - Troubleshoot complex data platform issues and provide technical recommendations. - Stay current with Databricks and cloud platform capabilities and drive adoption of best practices. Required Qualifications - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. - Minimum 5 years of experience in data engineering, data architecture, or related technical roles. - Hands-on experience with Databricks in enterprise environments. - Strong knowledge of PySpark, Spark SQL, Python, and SQL. - Experience designing and implementing Lakehouse architectures. - Experience building scalable ETL/ELT data pipelines. - Strong understanding of data modeling, data warehousing, and analytics platforms. - Experience working with structured and unstructured data. - Strong problem-solving and communication skills. - Ability to work independently in a remote environment. - Experience implementing data governance and security frameworks. Preferred Qualifications - Experience in the healthcare industry, including claims, clinical, provider, member, or revenue cycle data. - Experience with Azure, AWS, or GCP cloud platforms. - Exposure to machine learning and AI/ML workloads on Databricks. Certifications Required: - Databricks Certified Data Engineer Associate - Databricks Certified Data Engineer Professional Preferred: - Cloud platform certifications (Azure, AWS, or GCP) Originally posted on Himalayas
- Data-Engineer
- Databricks-Engineer
- Data-Platform-Engineer
- Solutions-Architect
- Senior-Databricks-Engineer
- Senior-Databricks-Developer
- Senior-Databricks-Architect
- Databricks-Data-Engineer
- Databricks-Engineering
- Senior-Data-Engineer-Positions
- Senior-Data-Engineer-Roles
- Data-Engineering-(Databricks)
- Databricks-Developer
Наблюдалась 2026-10-04, впервые 2026-10-04, источник — Himalayas (JSON API).