Software Development Engineer

Delta TechOps IT is seeking a Software Development Engineer who will contribute to the design, development, and enhancement of scalable backend and full-stack systems supporting retail applications such as order management, catalog services, cart operations, and store operations. The role focuses on building reliable microservices, APIs, cloud-native solutions, and AI-enabled capabilities while collaborating closely with senior engineers and cross-functional teams.

The ideal candidate will leverage modern engineering practices, including AI-assisted development, agentic capabilities, automation-first approaches, and human + AI collaboration models to improve productivity, code quality, operational efficiency, and delivery velocity. This role offers an opportunity to work on next-generation retail platforms aligned with the organization's future-state architecture and AI-first engineering vision.

Requirements:

• Foundational and Advanced Data Engineering Experience: Hands-on experience designing and maintaining scalable pipelines. Covers ETLs, data modeling, schema design, pipeline orchestration, and structured/semi-structured data formats (JSON).
• SQL (Advanced): Strong command of SQL for transformation, analysis, and optimization. Includes window functions, CTEs, subqueries, and performance tuning across platforms like Snowflake, BigQuery, or Azure Synapse.
• Python (Advanced): Production-grade Python for data engineering. Includes pandas, polars, or PySpark for data manipulation, REST API integrations, and writing clean, testable, well-documented code.
• Experience with Data and Low-Code Platforms: Hands-on with at least one enterprise data or app platform (e. g., Palantir Foundry, Microsoft Power Platform, Azure Data Factory, or Databricks).
• Experience Using LLMs in Development Context: Practical experience integrating LLMs into workflows or applications via prompt engineering, APIs (OpenAI, Azure OpenAI, Anthropic), or RAG pipelines.
• Basic UI / Application Development Skills: Ability to build or configure simple user-facing applications, whether through code or low/no-code tools. Examples include building dashboards or apps in Power Apps, Power BI, or Workshop, or front-end development with HTML/CSS/JavaScript.
• Write clean, efficient, maintainable, and well-documented code following engineering best practices.
• Strong analytical, debugging, and problem-solving abilities.
• Good communication and collaboration skills.
• Basic hands-on experience with AWS cloud services.
• Experience with source control systems such as GitHub or GitLab.

Preferred qualifications:

• A bachelor's degree in computer science, information systems, or a related technical field is preferred.
• Experience working in an airline technology environment is preferred.
• AWS Certified Developer certification.
• Experience with a modern front-end framework is a plus
• Experience with microservices architecture and serverless computing.
• Understanding of networking and security principles in cloud environments
• Familiarity with Model Context Protocol (MCP) for connecting AI models to external tools and data sources.

AI-First Engineering Skills:

• Hands-on experience leveraging AI-enabled development tools such as GitHub Copilot, ChatGPT, Amazon Q, Kiro, Cursor, CodeWhisperer, or equivalent AI coding assistants throughout the software development lifecycle.
• Practical experience using AI tools for code generation, debugging, refactoring, test case creation, documentation, code reviews, and developer productivity improvements.
• Understanding of AI-assisted software engineering practices and prompt engineering fundamentals.
• Awareness of agentic AI concepts, intelligent automation frameworks, and autonomous workflow orchestration.
• Ability to effectively operate within human + AI collaboration models, integrating AI-generated outputs into engineering workflows while ensuring quality and security standards.
• Demonstrated an AI-first and automation-first engineering mindset.

Preferred Skills (Good to Have):

• 2 - 4 years of professional software development experience.
• Palantir Foundry Experience: Direct experience building in Foundry, ideally across transforms (Python/SQL), ontology configuration, Workshop, pipeline builder, or OSDK.
• TypeScript: Proficient in TypeScript for Foundry-native development, such as functions (v1/v2), custom Workshop widgets, or OSDK-powered applications.
• OSDK React Application Development Experience: Building front-end apps with Palantir's Ontology SDK using React and TypeScript. Familiarity with Blueprint.js is a plus.
• Cloud Platform Familiarity: Working knowledge of Azure, AWS, or GCP, particularly storage, compute, and data services (e. g., Data Lake, S3 BigQuery).
• Data Governance and Security Awareness: Familiarity with RBAC, data markings, row-level security, and data classification best practices.
• DevOps / CI/CD Practices: Experience with Git workflows, automated testing, and deployment pipelines in a data or platform engineering context.
• Ontology / Semantic Data Modeling: Ability to design meaningful object types, link types, and relationships that map raw data to real-world business concepts.
• Testing and Code Quality: Experience writing unit/integration tests (e. g., pytest, transform expectation testing) with a focus on documentation and maintainable code.