NDA Partners is seeking a Technical Solutions Engineer to lead the implementation, optimization, and ongoing support of healthcare IT solutions for clients. This is a client-facing technical role that blends hands-on data analysis (SQL, Python, Unix) with healthcare domain knowledge (HL7, FHIR, HIPAA) and strong communication. You’ll be the primary technical point of contact for client implementations — gathering requirements, configuring and deploying solutions, training end users, and resolving escalations.
Job Description
We are seeking an experienced Data Engineer with strong hands-on expertise in Databricks, PySpark, Python, and SQL. The role is responsible for designing, developing, and optimizing scalable data pipelines and data-processing solutions in a cloud-based data environment.
This is a hands-on position. The ideal candidate has personally built and supported Databricks solutions, not just theoretical exposure, and can walk through real examples of PySpark transformations, ETL/ELT pipelines, Delta Lake implementations, performance optimization, data-quality controls, and production troubleshooting.
Key Skills: Databricks | PySpark | Python | SQL | ETL/ELT | Delta Lake | Spark | Cloud | Data Engineering
Responsibilities
Required Skills & Experience
Nice to Have
