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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines using Databricks, Delta Lake, and Apache Spark, while ensuring data quality and governance across healthcare data platforms. Proficient in developing dashboards and visualizations with Power BI and Tableau, and experienced in CI/CD processes using GitHub.
Highest-signal resume keywords
DatabricksApache SparkSQLPython DevelopmentPower BI
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 ProcessesData ModelingDatabase SolutionsCI/CD PipelinesData QualityData GovernanceWorkflow OrchestrationPerformance TuningAutomated Testing
Soft Skills
CollaborationProblem-SolvingAgile Methodologies
Tools & Technologies
Databricks WorkflowsApache AirflowGitHubTableauPower BI
Industry Keywords
Healthcare DataHIPAA ComplianceData ObservabilityClinical DataData Security
Tech Stack
Tools & technologiesAirflowApacheAzureCloudETLPythonSparkSQLTableau
About the role
Key responsibilities & impact- Design, develop, and maintain scalable data pipelines using Databricks, Delta Lake, Apache Spark, SQL, and Python
- Build and optimize ETL/ELT processes for enterprise reporting, analytics, and operational data needs
- Develop efficient data models and database solutions for high-performance analytics and business intelligence workloads
- Translate business requirements into scalable data solutions with business, product, and analytics stakeholders
- Create and maintain dashboards, reports, and visualizations using Power BI and Tableau
- Ensure data quality, integrity, governance, and security across healthcare data platforms
- Support ingestion, transformation, and integration of clinical, claims, provider, and patient datasets
- Implement data validation, monitoring, and observability processes
- Design and support workflow orchestration using Databricks Workflows, Apache Airflow, or similar tools
- Contribute to cloud-based data modernization initiatives and enterprise analytics platforms
- Develop and maintain CI/CD pipelines and deployment processes using GitHub and modern DevOps practices
- Apply AI-assisted development tools to improve productivity, code quality, testing, documentation, and delivery efficiency
- Participate in Agile ceremonies including sprint planning, backlog refinement, estimation, and retrospectives
- Troubleshoot complex data and performance issues and implement sustainable solutions
- Collaborate with engineering, architecture, product management, analytics, and operations teams
Requirements
What you’ll need- Degree or equivalent and typically requires 4+ years of relevant experience
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience
- 4+ years of experience in data engineering, database engineering, software engineering, or a related technical discipline
- 3+ years of hands-on experience with SQL and relational database technologies
- 2+ years of experience with Python development and automation
- 2+ years of experience with Databricks, Spark, or modern cloud-based data engineering platforms
- Experience with Power BI and/or Tableau
- Experience working in Agile development environments
- Experience using GitHub and CI/CD processes
- Strong hands-on experience with Databricks, Delta Lake, and Apache Spark
- Advanced proficiency in SQL for complex queries, performance tuning, data modeling, and optimization
- Strong programming expertise in Python
- Experience designing and maintaining enterprise-scale data pipelines and data processing frameworks
- Experience with Databricks Workflows, Apache Airflow, or equivalent technologies
- Experience developing dashboards, reports, and visualizations using Power BI
- Understanding of modern data warehousing, lakehouse architectures, and analytics best practices
- Strong knowledge of GitHub-based source control, branch protection, pull request reviews, release management, and version control
- Experience implementing and maintaining CI/CD pipelines using GitHub Actions
- Familiarity with automated testing, deployment automation, and infrastructure best practices
- Experience working within Agile software development methodologies
- Understanding of clinical, claims, provider, and patient healthcare data
- Familiarity with HIPAA and healthcare compliance requirements
- Understanding of healthcare data governance, privacy, and security best practices
- Experience leveraging AI development tools such as GitHub Copilot or equivalent
- Ability to utilize AI for code generation, optimization, testing, documentation, and productivity improvements
- Preferred: experience with Azure, HL7 or FHIR, healthcare analytics platforms, data quality frameworks, data observability, reporting modernization, machine learning, predictive analytics, or AI-enabled healthcare solutions
- Must be currently authorized to work in the United States without employer sponsorship now or in the future
Benefits
Comp & perks- Competitive compensation package
- Annual bonus may be offered
- Long-term incentive opportunities may be offered
- Hybrid work arrangement with remote work on non-office days
- Equal employment opportunities
- Reasonable accommodations for job search or application