Senior Data Engineer

PharmaLink, LLC is building and evolving an enterprise data, analytics, and AI platform, and the Senior Data Engineer will be central to that effort. This onsite role in Largo, FL focuses on designing and operating solutions across the modern Databricks ecosystem, from lakehouse architecture and ETL/ELT to analytics, dashboards, and AI enablement.

What you’ll do

• Design, build, and operate enterprise data solutions on Databricks.
• Develop scalable ETL/ELT pipelines using Python, PySpark, Spark SQL, and Delta Lake.
• Create curated data models and reusable data products for analytics, applications, and AI.
• Implement Unity Catalog capabilities including security, lineage, access controls, and data governance.
• Build and optimize Databricks SQL Warehouses and AI/BI Dashboards.
• Develop data and AI applications using Databricks Apps.
• Design and implement solutions using Databricks Lakebase.
• Enable AI/ML and Generative AI use cases using Databricks capabilities.
• Build automated processes for data quality, reconciliation, anomaly detection, and monitoring.
• Integrate data from databases, SaaS platforms, APIs, files, and other enterprise systems.
• Optimize Spark workloads, SQL queries, pipelines, performance, and platform cost.
• Establish engineering standards covering Git, CI/CD, testing, monitoring, and production deployment.
• Troubleshoot complex production and data issues and perform root-cause analysis.
• Partner with Data Governance, BI, application, and business teams to deliver trusted data products.

Required experience

• 8+ years of experience in data engineering, data platforms, or related engineering roles.
• 4+ years of hands-on Databricks experience in production environments.
• Advanced SQL, Python, PySpark, and Apache Spark skills.
• Strong experience with Delta Lake and Unity Catalog.
• Strong ETL/ELT, data modeling, and enterprise data architecture experience.
• Experience with Databricks SQL and AI/BI Dashboards.
• Familiarity with Databricks capabilities across AI/ML, Generative AI, Databricks Apps, and Lakebase.
• Strong relational database and data-engineering fundamentals.
• Experience with Git, CI/CD, automated testing, monitoring, and production support.
• Experience working with cloud-based enterprise data platforms.
• Maintain a positive attitude in a high-performance team environment.
• Must pass a background check and random drug screenings.
• Must be adaptable and flexible when working with a diverse workforce.

Technologies

• Databricks
• Python
• PySpark
• Spark SQL
• Delta Lake
• Unity Catalog
• Databricks SQL
• AI/BI Dashboards
• Databricks Apps
• Lakebase
• AI/ML
• Generative AI
• Git
• CI/CD
• Apache Spark

Preferred qualifications

• Databricks on Microsoft Azure.
• Azure Data Factory.
• Microsoft SQL Server.
• Fivetran or similar CDC/ELT technologies.
• Power BI.
• Databricks Workflows.
• MLflow and AI/model lifecycle capabilities.
• API and application development experience.
• Azure DevOps or GitHub-based CI/CD.
• Databricks professional certification.
• Experience in healthcare, life sciences, or another regulated industry.

Location and schedule

• Largo, FL (onsite)

Physical requirements

• Requires light physical activity performing non-strenuous daily activities of an administrative nature (sustained phone, headset, and keyboard use) and periods of prolonged sitting.