[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. CitiusTech is a healthcare technology company that aims to solve the industry's greatest challenges through innovation and collaboration. They are seeking a Senior Data Engineer who will be responsible for designing, building, and operating ETL/ELT pipelines on cloud platforms for healthcare data, ensuring data governance and quality practices are upheld.

Responsibilities

• Design, build, and operate scalable ETL/ELT pipelines across GCP, Azure, BigQuery, and SQL Server
• Model data for analytical workloads including dimensional modeling, SCDs, normalization, and schema design
• Orchestrate pipelines using Airflow, Cloud Composer, Azure Data Factory, or similar frameworks
• Ensure secure handling of PHI in alignment with HIPAA—covering data movement, de-identification, access controls, and audit readiness
• Implement and enforce data governance practices, including metadata management, data lineage, cataloging, and stewardship workflows
• Integrate with enterprise data governance platforms such as Microsoft Purview, Collibra, or Alation for:
• Data cataloging and classification
• Lineage tracking (end-to-end pipeline visibility)
• Glossary and business metadata management
• Define and implement data quality frameworks including validation rules, anomaly detection, and monitoring
• Enable data discoverability and trust through proper tagging, classification, and governance standards
• Deploy pipelines using Git-based workflows and CI/CD; monitor, troubleshoot, and optimize production pipelines
• Collaborate with stakeholders (business, analytics, governance teams) to translate requirements into scalable technical solutions
• Communicate technical tradeoffs, risks, and governance implications early in the design lifecycle

Skills

• 7+ years of experience in data engineering with strong exposure to senior-level ownership of production systems
• Strong proficiency in SQL and either Python or Java for pipeline development
• Hands-on experience across cloud platforms such as GCP and Azure, including BigQuery and SQL Server
• Deep experience designing scalable and reliable ETL/ELT pipelines with performance optimization
• Hands-on experience with orchestration tools such as Airflow, Cloud Composer, ADF, Dagster, or Prefect
• Strong data modeling skills — dimensional modeling, normalization, and slowly changing dimensions
• Data Governance Expertise: Experience working with tools like Microsoft Purview, Collibra, Alation, or Informatica EDC
• Understanding of data cataloging, lineage, metadata management, and business glossaries
• Exposure to data classification, data stewardship workflows, and governance frameworks
• Experience implementing data quality frameworks (DQ rules, profiling, validation pipelines)
• Working knowledge of HIPAA and PHI compliance requirements
• Experience operating within enterprise security, governance, and compliance frameworks
• Proficiency with Git, CI/CD pipelines, and production deployment practices
• Experience integrating governance tools with cloud-native ecosystems (e.g., Purview with Azure data services, Collibra with multi-cloud pipelines)
• Exposure to Master Data Management (MDM) and reference data systems
• Familiarity with semantic layers, data mesh, or data fabric architectures
• Experience with LLM-assisted development, data observability tools, or modern ELT frameworks (dbt, Dataform)
• Knowledge of healthcare data standards (HL7, FHIR, OMOP, etc.)

Benefits

• Medical, dental, and vision insurance
• Paid time off
• Parental leave
• Comprehensive benefits package

Company Overview