NESCO Inc
Senior Data Engineer
Shape the future of healthcare data with cutting-edge solutions.
About the Role As a Senior Data Engineer, you will play a pivotal role in designing and implementing advanced data platform solutions that align with business objectives while upholding industry-leading data privacy standards. Collaborating with cross-functional agile teams, you'll drive strategic data architecture decisions, establish best practices, and contribute to transformative projects in a healthcare-focused enterprise.
Key Responsibilities Data Platform Development : Create Databricks Data Warehouses and Lakehouse solutions to support complex healthcare data needs. Data Governance : Configure and maintain Unity Catalog for enterprise-level data lineage and quality assurance. Data Security : Implement robust protocols to manage sensitive data (PHI/PII) and ensure compliance with security standards. Client-Focused Data Solutions : Build reliable, high-performance data solutions tailored to client needs. ETL Processes : Design Delta Live Table solutions and automate data transformation workflows. Architectural Expertise : Develop enterprise Medallion Architectures for efficient data processing. Real-Time Processing : Create scalable streaming and batch processing solutions for varied business use cases. Large-Scale Data Management : Deliver optimized data solutions for structured and unstructured healthcare datasets. Platform Engineering : Build infrastructure as code using tools like Terraform and Asset Bundles. Cost Optimization : Collaborate with business stakeholders to deliver cost-effective and transparent data solutions. Pipeline Management : Architect and maintain scalable data pipelines while enhancing performance monitoring and efficiency. Data Modeling : Lead the design of standards-based data models (e.g., FHIR, OMOP) for healthcare data. Collaboration : Partner with internal and external stakeholders to deliver impactful, functional data solutions. Process Improvement : Automate processes, enhance data delivery, and optimize infrastructure for scalability. Qualifications
7 years of experience designing and developing data platform solutions, including Data Warehouses, Data Lakes, and Data Products. Advanced expertise in Databricks and AWS. Proficiency in relational and non-relational databases, such as SQL Server, PostgreSQL, and MongoDB. Proven ability to manage clinical data from structured and unstructured sources. Expertise in healthcare standards (FHIR, C-CDA, HL7) and clinical ontologies (ICD-10, SNOMED, NDC, LOINC, RxNorm). Strong skills in API design, ETL processes, and data ingestion for enterprise applications. Experience in performance tuning, security, query optimization, and monitoring large datasets. What We Value
A problem-solving mindset with a "let's find a way to do it" attitude. Strong communication skills, with the ability to simplify complex technical concepts for non-technical audiences. Ability to mentor and inspire others while embracing emerging technologies. A customer-obsessed, business-centric approach to data engineering. Capability to balance strategic vision with tactical execution. Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 10 years of experience in advanced data engineering roles. Healthcare and life insurance industry experience. Azure and/or AWS Solutions Architecture certification. Experience with Snowflake.
Why Join Us? Be part of a team that's revolutionizing healthcare through innovative data solutions. Your expertise will drive impactful outcomes, shaping the way data is leveraged in one of the most critical industries.
PRO113
About the Role As a Senior Data Engineer, you will play a pivotal role in designing and implementing advanced data platform solutions that align with business objectives while upholding industry-leading data privacy standards. Collaborating with cross-functional agile teams, you'll drive strategic data architecture decisions, establish best practices, and contribute to transformative projects in a healthcare-focused enterprise.
Key Responsibilities Data Platform Development : Create Databricks Data Warehouses and Lakehouse solutions to support complex healthcare data needs. Data Governance : Configure and maintain Unity Catalog for enterprise-level data lineage and quality assurance. Data Security : Implement robust protocols to manage sensitive data (PHI/PII) and ensure compliance with security standards. Client-Focused Data Solutions : Build reliable, high-performance data solutions tailored to client needs. ETL Processes : Design Delta Live Table solutions and automate data transformation workflows. Architectural Expertise : Develop enterprise Medallion Architectures for efficient data processing. Real-Time Processing : Create scalable streaming and batch processing solutions for varied business use cases. Large-Scale Data Management : Deliver optimized data solutions for structured and unstructured healthcare datasets. Platform Engineering : Build infrastructure as code using tools like Terraform and Asset Bundles. Cost Optimization : Collaborate with business stakeholders to deliver cost-effective and transparent data solutions. Pipeline Management : Architect and maintain scalable data pipelines while enhancing performance monitoring and efficiency. Data Modeling : Lead the design of standards-based data models (e.g., FHIR, OMOP) for healthcare data. Collaboration : Partner with internal and external stakeholders to deliver impactful, functional data solutions. Process Improvement : Automate processes, enhance data delivery, and optimize infrastructure for scalability. Qualifications
7 years of experience designing and developing data platform solutions, including Data Warehouses, Data Lakes, and Data Products. Advanced expertise in Databricks and AWS. Proficiency in relational and non-relational databases, such as SQL Server, PostgreSQL, and MongoDB. Proven ability to manage clinical data from structured and unstructured sources. Expertise in healthcare standards (FHIR, C-CDA, HL7) and clinical ontologies (ICD-10, SNOMED, NDC, LOINC, RxNorm). Strong skills in API design, ETL processes, and data ingestion for enterprise applications. Experience in performance tuning, security, query optimization, and monitoring large datasets. What We Value
A problem-solving mindset with a "let's find a way to do it" attitude. Strong communication skills, with the ability to simplify complex technical concepts for non-technical audiences. Ability to mentor and inspire others while embracing emerging technologies. A customer-obsessed, business-centric approach to data engineering. Capability to balance strategic vision with tactical execution. Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 10 years of experience in advanced data engineering roles. Healthcare and life insurance industry experience. Azure and/or AWS Solutions Architecture certification. Experience with Snowflake.
Why Join Us? Be part of a team that's revolutionizing healthcare through innovative data solutions. Your expertise will drive impactful outcomes, shaping the way data is leveraged in one of the most critical industries.
PRO113