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OMNIA Partners · 18 hours ago

Senior Software Engineer (Intelligent Data Systems)

Franklin, TN

Full-time

Onsite

Senior Level

5+ years exp

OMNIA Partners is the largest and most experienced purchasing organization for public and private sector markets, focusing on delivering value through AI and data-driven solutions. They are seeking a Senior Software Engineer to lead the design and development of data-driven products that enhance operational efficiency and customer insights.

CommercialConsultingFinancial ServicesManagement ConsultingProfessional Services

Work & Life Balance

Responsibilities

Lead the architectural design and implementation of complex backend systems, taking early-stage concepts and maturing them into resilient, high-load production environments

Develop robust strategies and systems for acquiring large volumes of data from diverse, often unstructured external sources, ensuring high data quality and reliability

Design pipelines that integrate practical AI/ML models (such as text classification, NLP or scoring algorithms) to automate complex decision-making processes and enrich incoming data streams

Build high-throughput data pipelines that ingest, validate, process and route data efficiently to downstream applications, data warehouses and third-party ecosystems

Optimize data storage and retrieval strategies for large-scale datasets across both relational databases and modern data warehouses

Act as a technical leader by staying current with emerging tools in data engineering and applied AI, recommending adoption where it enhances our capabilities

Qualification

Python ProficiencyApplied Machine LearningDatabase ExpertiseAPI & IntegrationCloud-Native MindsetHandling Unstructured DataSoftware Engineering FoundationsContainerized DeploymentsTechnical Leadership

Required

5+ years of backend software engineering experience, with a strong track record of building data-intensive applications

Expert-level proficiency in Python, with experience using it for both system building and data processing

Demonstrated experience building systems that interact with, ingest and structure messy or complex external data sources at scale

Practical experience integrating Machine Learning into production software workflows. You don't need to be a research scientist, but you must know how to apply standard ML libraries (e.g., scikit-learn, spaCy, or similar) to solve practical problems like classification, entities extraction or scoring

Strong understanding of data modeling and performance tuning in relational databases and cloud data warehouses (preferably Snowflake)

Deep experience designing and consuming complex APIs to connect internal services with third-party data providers

Experience building and deploying applications in cloud environments (AWS, GCP or Azure)