Python Developer

Messina Group is a Chicago-based consulting firm that partners with Private Equity firms, Investment Banks, and mid-market leadership teams to accelerate value creation through Digital, Data, Analytics & AI, and M&A-focused initiatives. We work across industries—including Finance, Business Services, Healthcare, Manufacturing, Nonprofit, and more—to deliver pragmatic, execution-focused solutions that drive measurable business results.

You’ll be joining a fast-paced, entrepreneurial consulting environment where we blend business strategy, advanced analytics, and modern technology to help clients Plan → Prioritize → Execute their growth and transformation roadmaps.

You’ll work across a portfolio of advanced, real-world systems—both internal and client-facing—collaborating with Messina’s AI Architect, Managing Directors, and client teams. You will operate both as a direct contributor on guided engagements and independently on projects where you own the technical delivery end-to-end. Your work will span:

• AI-powered business platforms and M&A / due diligence tooling
• ERP selection, requirements gathering, and implementation support
• Data-heavy analytics, reporting, dashboards, and process automation
• Salesforce integration, rebate automation, and CRM data engineering
• Client-facing document production: executive overviews, CIM analyses, buyer readiness reports

This is a technical, client-facing, and business analysis role. You’ll turn concepts, partial code, and AI-generated drafts into production-ready implementations, automations, and client-ready deliverables. We’re looking for someone who is genuinely curious, takes ownership, and brings the same energy to a client engagement as they do to a side project.

You’ll build and extend Python 3.12 projects across a range of internal and client-facing use cases. This includes designing data pipelines, CLI tools, Streamlit dashboards, and lightweight web interfaces. You’ll maintain containerized multi-service environments and take AI-generated code from rough draft to something production teams can actually rely on.

• Data pipelines and notebooks for analytics, forensics, and compliance monitoring
• Desktop-packaged applications (PyInstaller) for LAN/kiosk deployment

This is a core part of the role. You’ll design reusable prompt frameworks, build and maintain RAG pipelines, and orchestrate workflows across multiple LLM providers. You’ll use AI coding tools every day—and you’ll know when to trust the output and when to rewrite it entirely.

• Prompt engineering: system prompts, chain-of-thought frameworks, few-shot templates, structured outputs
• Multi-model orchestration across OpenAI, Anthropic, Google Gemini, AWS Bedrock, and Azure OpenAI

Data, Analytics & Reporting

You’ll build analytics workflows that surface trends, flag anomalies, and support financial and operational decision-making. This spans everything from raw CSV manipulation to Snowflake schema design to polished executive-facing dashboards. Expect messy, real-world data—and the expectation that you handle it gracefully.

• Trend and anomaly detection across CSV, Excel, and database sources
• Power BI and Microsoft Fabric reporting pipelines
• Streamlit or notebook-based exploration tools with clean, professional charts

Process Automation & Document Processing

You’ll design and implement automated workflows for business processes that are often still running on spreadsheets or manual handoffs. That includes building bridges between systems that lack native APIs, scheduling and orchestrating jobs, and extracting structured data from PDFs and scanned documents.

• RPA-style automation for rebate calculations, dealer onboarding, and approval routing
• OCR and document ingestion pipelines for due diligence data rooms and CIMs
• Scheduled job orchestration with retry logic and alerting

You’ll support ERP evaluation and implementation projects, helping clients assess vendors, gather requirements, and build the integration layers that connect old and new systems. A significant portion of this work involves Salesforce—schema design, SOQL, REST/Bulk APIs, and syncing data to modern warehouses. You’ll also…