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Job Summary:
Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. They are seeking a Senior Data Engineer to support large-scale healthcare data modernization and analytics initiatives, responsible for designing, building, optimizing, and operating enterprise-grade data platforms and pipelines.
Responsibilities:
• Design, develop, and maintain scalable batch and streaming data pipelines using Databricks and/or cloud-native services.
• Build and optimize ETL/ELT workflows that support operational reporting, analytics, machine learning, and data-sharing initiatives.
• Develop and maintain medallion architecture patterns (Bronze, Silver, Gold) within Databricks Lakehouse environments.
• Implement data integration solutions across multiple structured and unstructured healthcare data sources.
• Design reusable frameworks, templates, and accelerators that improve engineering productivity and consistency.
• Establish and maintain DataOps processes that support reliable, automated, and observable data pipelines.
• Monitor pipeline health, performance, data quality, and operational SLAs.
• Implement automated testing, deployment, version control, and CI/CD practices for data products.
• Develop proactive monitoring, alerting, and incident response procedures.
• Troubleshoot and resolve production data issues while minimizing operational impact.
• Ensure solutions comply with CMS, federal, and healthcare-specific security, privacy, and data governance requirements.
• Support environments containing protected health information (PHI), personally identifiable information (PII), and other sensitive healthcare datasets.
• Implement auditability, lineage, metadata management, and data quality controls.
• Partner with governance and security teams to ensure compliance with applicable standards and policies.
• Collaborate with solution architects and customer stakeholders to define data platform strategy and implementation roadmaps.
• Lead technical design reviews and contribute to enterprise data architecture decisions.
• Optimize data storage, processing performance, and cost management within cloud environments.
• Mentor junior engineers and promote engineering best practices across teams.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical discipline.
• 8+ years of data engineering experience, including large-scale enterprise data environments.
• 3+ years supporting CMS or other federal healthcare programs.
• Experience operating and supporting production-grade data platforms in regulated environments.
• Demonstrated experience with DataOps and modern data engineering practices.
• Expert-level experience with Databricks Lakehouse Platform.
• Strong proficiency with Apache Spark, PySpark, SQL, and Python.
• Experience designing and maintaining operational data pipelines at enterprise scale.
• Hands-on experience with cloud data platforms in AWS or Azure cloud environments.
• Experience implementing CI/CD pipelines using Git-based development workflows.
• Expertise in data quality, observability, lineage, metadata management, and monitoring frameworks.
• Experience with orchestration and workflow management tools.
• Strong knowledge of lakehouse, warehouse, and modern data architecture patterns.
• Experience supporting CMS, Medicare, Medicaid, or other federal healthcare data programs.
• Understanding of healthcare data governance, security, privacy, and compliance requirements.
• Experience working with healthcare data standards and regulated datasets.
• Familiarity with Federal Information Security requirements and operational controls.
Preferred:
• Databricks Certified Data Engineer Professional
• Additional Databricks certifications.
• Experience supporting cloud-native analytics platforms for CMS.
• Experience implementing Delta Lake, Unity Catalog, and advanced Databricks governance capabilities.
• Familiarity with machine learning operations (MLOps) and AI/ML data pipelines.
• Experience with Collibra, Informatica, Unity Catalog or comparable data governance platforms.
• Experience supporting FedRAMP or FISMA-compliant environments.
• Prior experience leading technical teams or serving as a technical lead.
Company:
Analytica is an IT agency that specializes in custom software, artificial intelligence, data analysis, computer vision, and blockchain. Founded in , the company is headquartered in Dubai, ARE, with a team of 51-200 employees. The company is currently Growth Stage.