Data Engineer

Analytica is seeking a Senior Data Engineer to support large-scale Health care data modernization and analytics initiatives. This role is responsible for designing, building, optimizing, and operating enterprise-grade data platforms and pipelines that support mission-critical healthcare programs. The ideal candidate possesses deep expertise in cloud-native data engineering, DataOps practices, and regulated healthcare environments., The Senior Data Engineer will lead the development and maintenance of scalable, secure, and auditable data pipelines while ensuring data quality, reliability, and compliance with federal healthcare regulations and CMS data governance requirements. This individual will serve as a technical leader, collaborating with data architects, data scientists, business analysts, and program stakeholders to deliver high-quality data products and operational capabilities., Data Engineering & Platform Development

• 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.

Data Operations (DataOps)

• 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.

Healthcare & Regulatory Compliance

• 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.

Architecture & Technical Leadership

• 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., To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

• Application Review: AI tools may help identify skills and experiences relevant to the role.

• Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

• 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.

Technical Skills

• 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.

Regulatory & Healthcare Knowledge

• 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 Qualifications

• 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.

Desired Competencies:

• Deep technical expertise in modern data engineering and DataOps practices.

• Strong problem-solving and troubleshooting abilities.

• Exceptional written and verbal communication skills.

• Ability to translate business requirements into scalable technical solutions.

• Proven ability to operate effectively in highly regulated healthcare environments.

• Commitment to data quality, operational excellence, and continuous improvement.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match., Target Salary* What level of government security clearance do you hold? If applicable, please list any Federal agencies you currently hold a clearance for? LinkedIn Profile* Where did you hear about Analytica?* Do you acknowledge and agree that your application may be reviewed by AI-assisted tools, and that interviews may be recorded or summarized using AI notetakers?* Yes, I acknowledge and agreeNo, I do not agree The following questions are entirely optional., Invitation for Job Applicants to Self-Identify as a U.S. Veteran

• A "disabled veteran" is one of the following:

• a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or
• a person who was discharged or released from active duty because of a service-connected disability.

• A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
• An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
• An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider., When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.