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, youll 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
Bachelors or Masters 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 thats 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.
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