Backend Engineer

• Design, develop, and optimize complex T-SQL solutions including large-scale stored procedures, functions, and queries
• Optimize existing SQL code for performance, scalability, and maintainability
• Proactively identify and resolve query performance, indexing, and concurrency issues
• Support schema design, data modeling, and database changes for new features
• Collaborate with application engineers to design and improve data models, database logic, and access patterns
• Develop and maintain database objects, deployment scripts, and repeatable database changes aligned with application delivery needs
• Create and execute unit, integration, and regression tests for stored procedures and database logic to ensure correctness and performance
• Enforce security best practices, including Azure Entra ID (formerly Azure AD) authentication and authorization
• Support audits and compliance initiatives related to HITRUST, and SOC 2
• Lead database development standards, best practices, and documentation across the organization
• Support or contribute to Medallion (Bronze/Silver/Gold) Data Lake architectures using Microsoft Fabric

Senior Database Developer

• Writing secure, correct, efficient, clear and supportable “production ready” code that meets internal standards and industry best practice.
• Enhance and extend our existing products, including device management, microservices, and WPF (Windows Presentation Foundation) applications to deliver seamless experiences to our customers.
• Design and build APIs that integrate with internal and external services and contribute to overall system functionality.
• Clarifying and communicating engineering requirements for new products, features, quality improvements, or design changes.
• Track progress, update stakeholders, communicate with peers and broader team through stand-ups, regular updates on work items.
• Implement industry-standard security practices to safeguard both customer and internal data.
• Ensure thorough testing of code, participate in code reviews, and proactively resolve bugs and performance bottlenecks.

Software Engineer, Backend

• Lead the design and implementation of scalable data platforms and pipelines using PySpark, Spark, and Python
• Drive adoption and best practices for Palantir Foundry (data pipelines, ontology, workflows, and operational applications)
• Architect and optimize high-performance data processing solutions for large-scale datasets
• Provide technical leadership and mentorship to data engineers, ensuring code quality and best practices
• Collaborate with cross-functional teams (business, analytics, data science) to translate requirements into scalable solutions
• Design robust data models, ETL/ELT frameworks, and data integration strategies
• Ensure data quality, governance, security, and compliance across enterprise data platforms
• Lead performance tuning, troubleshooting, and optimization of data pipelines
• Drive CI/CD implementation, code reviews, and release management
• Stay current with emerging data engineering technologies and recommend improvements

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Senior Database Developer

Software Engineer, Backend

Data Engineer, Palantir, Spark, PySpark, Python