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Staff Data Engineer – Databricks
CVS Health. Design and build highly scalable, reliable, and fault-tolerant data pipelines and platforms .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building scalable data pipelines and systems, with proficiency in SQL, Python, and cloud-native services. Strong ability to mentor teams, enforce data quality standards, and implement best practices in data engineering.
Highest-signal resume keywords
Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingAzure Data EcosystemData Warehousing Concepts
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringETL/ELT PrinciplesData Lake ArchitecturesInfrastructure as CodeCI/CD PipelinesPerformance OptimizationMonitoring and LoggingData Quality StandardsArchitectural DesignFault-Tolerant Systems
Soft Skills
CommunicationCollaborationProblem-SolvingMentoringCoaching
Tools & Technologies
Apache SparkTerraformDatabricksKafkaKinesis
Industry Keywords
Healthcare DataHealthcare Insurance Feeds
Tech Stack
Tools & technologiesApacheAzureCloudETLKafkaPythonSparkSQLTerraform
About the role
Key responsibilities & impact- Design and build highly scalable, reliable, and fault-tolerant data pipelines and platforms
- Drive the architectural direction for ingesting, transforming, and storing data
- Develop and optimize core data pipelines using SQL, Python, Apache Spark, and cloud-native services
- Mentor and coach data engineers
- Provide technical guidance and foster best practices, code quality, and professional growth
- Partner with data scientists, analysts, and product managers to translate business requirements into data solutions
- Implement monitoring, alerting, and logging for data systems
- Identify and resolve performance bottlenecks and system failures
- Lead adoption of new data engineering tools and approaches
- Establish and enforce data quality standards and governance practices
Requirements
What you’ll need- 7+ years of hands-on experience in data engineering or a similar role
- Proven track record of designing and implementing large-scale data systems
- Proficiency in Python
- Strong proficiency in SQL
- Extensive experience with at least one major cloud provider's data ecosystem
- Azure and Databricks experience required
- Strong knowledge of data warehousing concepts, ETL/ELT principles, and modern data lake architectures
- Proven ability to design and build scalable and resilient data systems from scratch
- Excellent communication, collaboration, and problem-solving skills
- Experience with Infrastructure as Code, such as Terraform, preferred
- Experience with CI/CD pipelines preferred
- Familiarity with streaming technologies such as Kafka or Kinesis preferred
- Familiarity with healthcare data and healthcare insurance feeds is a plus
- Bachelor's degree in Computer Science / Engineering
Benefits
Comp & perks- Comprehensive benefits package
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources supporting physical, emotional, and financial well-being
- CVS Health bonus, commission or short-term incentive program
- Equity award program