Senior Databricks Engineers
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EXL
Austin, TX, US
Summary
Design and implement scalable data solutions using Databricks Lakehouse architecture while developing and optimizing batch and real-time data pipelines. Lead technical solution design for data integration and transformation workloads while collaborating with cross-functional teams to support analytics and operational decision-making.
Job Description
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)
Responsibilities
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)
Qualifications
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)
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.
At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.
Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.
Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.
We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.
At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.
For more information, visit www.exlservice.com.
Company size
10,001+ employees
Industry
Business Consulting and Services
Org type
Public Company
Headquarters
New York, NY
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.
At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.
Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.
Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.
We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.
At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.
For more information, visit www.exlservice.com.
Company size
10,001+ employees
Industry
Business Consulting and Services
Org type
Public Company
Headquarters
New York, NY
