Salesforce Developer with python-5

Dallas, Texas 75019 Posted October 8th, 2026 Job Type: Full Time Job Category: IT Job Description Job Title: Salesforce Developer with python Location: Dallas, TX / Jacksonville, FL(Onsite) Fulltime Job Description Salesforce Developer with python Must Have Technical/Functional Skills 1. Technical Profile Summary The Senior Salesforce Developer will design, develop, and optimize scalable enterprise architectures across core Salesforce clouds and decoupled middleware/data ecosystems. This role bridges programmatic Salesforce engineering (Apex, LWC) with modern programmatic backend capabilities (Python), leading API-first integrations, data pipeline engineering, automation frameworks, and maintainable enterprise software design patterns. ________________________________________ 2. Core Salesforce Platform & Programmatic Development (Mandatory) • Apex Engineering & Architecture: o Advanced object-oriented programming (OOP) using enterprise design patterns (Trigger Handler frameworks, Service Layer pattern, Domain/Selector layer, Unit of Work pattern). o Asynchronous processing mastery: Batch Apex, Queueable Apex with chaining, Schedulable jobs, and Continuation patterns for long-running callouts. o Rigorous transaction management and governor limit mitigation strategies (SOQL/SOSL query optimization, heap size tuning, and bulkified CPU execution profiling). o Comprehensive automated testing using Apex Mocks, stub APIs, and enterprise-grade test isolation fixtures achieving resilient code coverage. • Modern Frontend (Lightning Web Components & UX): o Modern JavaScript (ES6+) and Lightning Web Components (LWC) reactive programming, lifecycle hooks, wire adapters, and @api/@track state architecture. o Component orchestration via Lightning Message Service (LMS), custom events, and publish-subscribe paradigms across decoupled UI boundaries. o Experience handling complex data tables, real-time client validation, custom modal interactions, and Lightning Design System (SLDS) styling standards. o Legacy maintenance and refactoring capabilities: aura component modernization and Visualforce deprecation roadmaps. ________________________________________ 3. Enterprise Integration & Middleware Architecture (Mandatory) • API Development & Protocols: o Designing and consuming custom RESTful and SOAP web services (Apex REST APIs, external REST endpoints, JSON/XML parsing). o Deep understanding of Salesforce native integration APIs: Composite API, Bulk API 2.0, Streaming API, and GraphQL API. o Event-Driven Architectures (EDA) using Platform Events, Change Data Capture (CDC), and Pub/Sub APIs for real-time decoupled event streaming. • Security & Authentication: o OAuth 2.0 flows (JWT Bearer Token flow, Web Server flow, Authorization Code, Client Credentials) and mutual TLS (mTLS). o Named Credentials, External Credentials, Connected Apps configuration, and certificate-based mutual authentication. • Hybrid Middleware & Microservices: o Integrating Salesforce with enterprise middleware (e.g., MuleSoft, Apache Kafka, AWS EventBridge, Azure Service Bus). o Idempotency handling, exponential backoff, error retry queues, and dead-letter queue (DLQ) architectures. ________________________________________ 4. Python Development & Data Ecosystem (Mandatory) • Python Capabilities & Tooling: o Advanced proficiency in Python 3.x (functional programming, object-oriented design, type hinting, concurrency with asyncio, multithreading, or multiprocessing). o Direct experience with Salesforce programmatic interaction libraries such as simple-salesforce, beatbox, and official REST/Bulk API wrappers. o Microservice / API development using frameworks like FastAPI, Flask, or AWS Lambda serverless functions. • Data Engineering & Automation Pipelines: o Designing Python-driven ETL/ELT pipelines for high-volume data synchronization between Salesforce and cloud data warehouses (Snowflake, BigQuery, AWS Redshift, or Databricks). o Data manipulation and cleansing using libraries such as pandas, polars, and numpy for data sanitation, mass deduplication, and complex transformations. o Automated operational scripts for bulk data extract, compliance validation, and platform telemetry aggregation. • AI & Agentic Systems (Preferred / Emerging): o Interfacing Python-based AI agents, LLMs, or retrieval-augmented generation (RAG) pipelines with Salesforce data models (e.g., LangChain, LlamaIndex, OpenAI/Bedrock APIs, Salesforce Agentforce integration). Roles & Responsibilities • Develop, implement and maintain Salesforce customizations, applications, extensions and integrations. • Develop complex workflows using flows and omni studio will be preferred • Develop LWC components • Participate in the planning/analysis of business requirements for system changes and enhancements. • Collaborate inter-departmentally to identify business needs and translate them into technical solutions. • Create testing and implementation plans, including user training and documentation. • Remain current with Salesforce technologies and best practices. • Experience with Apex, Visualforce and the Lightning Component Framework. • Advanced knowledge of Salesforce permissions, roles, reports, dashboards, etc. • Experience with APIs and integrations. • Experience working on an Agile development team • Experience with software development outside of the Salesforce ecosystem. • Excellent communication and collaboration skills. Required Skills Data / Python Engineer Python / DevOps Engineer