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Omnia Jobs (NOW HIRING)

omnia

AI/ML Engineer RFP Radar

Franklin, TN · On-site

$103K - $141K/yr

OMNIA Partners is at the forefront of leveraging AI and data-driven solutions to enhance business operations and customer insights. We are committed to using cutting-edge AI/ML capabilities to ...

OMNIA Partners LLC

AI/ML Engineer RFP Radar

Franklin, TN · On-site

$103K - $141K/yr

OMNIA Partners has become the largest and most experienced purchasing organization for public and private sector markets by delivering unparalleled scale and solutions. Through further organic growth ...

Omnia Mechanical Group

Be Seen First

Plumbing Project Manager & Service Estimator

New York, NY · On-site

$90K - $140K/yr

Vacation, holidays, sick days Company Description The Omnia Mechanical Group: We are a collection of service brands and companies, custom assembled to meet our core customers' full-spectrum of needs ...

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How much do omnia jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for omnia in the United States is $54.83, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $67.31 per hour, depending on experience, location, and employer.

What is an Omnia job?

An Omnia job typically refers to roles related to the Omnia platform, which is often used for data management, automation, and business intelligence. Jobs in this field can include positions such as Omnia consultants, developers, or administrators who help organizations implement and optimize Omnia solutions. Responsibilities may involve configuring the platform, integrating it with other systems, and ensuring data accuracy and efficiency. The specific duties vary depending on the industry and company using Omnia.

What are Omnia jobs?

Omnia jobs typically refer to roles at Omnia Group, a diversified chemicals company, or to positions using the Omnia platform, a pricing and automation software. In the context of the Omnia platform, jobs usually involve managing pricing, e-commerce strategies, and automation processes for retail businesses. Responsibilities may include analyzing data, creating pricing rules, and optimizing product listings. For Omnia Group, jobs can range from chemical engineering and production to sales and supply chain management. The specific duties depend on the company and the sector in which 'Omnia' is referenced.

What is the difference between Omnia vs Data Analyst?

AspectOmniaData Analyst
Required CredentialsTypically requires certifications in project management or specific industry toolsUsually requires a bachelor's degree in data science, statistics, or related fields
Work EnvironmentOften in project-based settings, collaborating across departmentsPrimarily in office or remote settings analyzing data sets
Employer & Industry UsageUsed in various industries for project coordination and resource managementCommon in finance, marketing, healthcare, and tech sectors for data insights

While Omnia focuses on project management and resource planning, Data Analysts specialize in interpreting data to inform business decisions. Both roles require analytical skills but differ in their core functions and industry applications.

What are the main responsibilities and team dynamics for someone working in an Omnia role?

In an Omnia role, you'll typically be part of a multidisciplinary team focused on providing comprehensive solutions in areas such as data analytics, cloud infrastructure, and digital transformation. Your daily tasks may include collaborating with stakeholders to define project goals, developing technical solutions, and ensuring the seamless integration of Omnia's platforms within client environments. The work environment is usually fast-paced and highly collaborative, offering frequent opportunities to learn from specialists in various fields. This role also provides strong career growth potential, as you'll gain experience with cutting-edge technologies and have the chance to lead projects as you progress.

What are the key skills and qualifications needed to thrive as an Omnia Project Manager, and why are they important?

To thrive as an Omnia Project Manager, you need strong project management skills, experience in enterprise resource planning (ERP) systems, and a relevant degree such as in business or information technology. Familiarity with Microsoft Dynamics 365 (Omnia), project management software tools, and certifications like PMP or PRINCE2 are typically required. Excellent communication, problem-solving, and leadership abilities set outstanding candidates apart. These skills ensure successful project delivery, effective stakeholder engagement, and optimal use of the Omnia platform in complex business environments.
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Omnia jobs near you
Infographic showing various Omnia job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,055 per year, or $54.8 per hour.
AI/ML Engineer RFP Radar

AI/ML Engineer RFP Radar

omnia

Franklin, TN • On-site

$103K - $141K/yr

Other

Posted 10 days ago

Job description

Job Title 

Senior Software Engineer (Intelligent Data Systems) 

Location 

Franklin, TN 

Candidates must be legally authorized to work in the U.S. without sponsorship, now and in the future.

Open Position Summary – Senior Software Engineer 

OMNIA Partners has become the largest and most experienced purchasing organization for public and private sector markets by delivering unparalleled scale and solutions. Through further organic growth and strategic acquisitions, OMNIA Partners will continue to drive economies of scale to execute more contracts, in more verticals, with transparent, value-driven pricing for our membership of companies. Our success and growth have been unparalleled in this space. OMNIA Partners is at the forefront of leveraging AI and data-driven solutions to enhance business operations and customer insights. We are committed to using cutting-edge AI/ML capabilities to improve data quality, automation and overall efficiency across the organization. 

We are hiring a Senior Software Engineer to take the lead on designing and building the next generation of our data-driven products. In this role, you will bridge the gap between data science concepts and robust software engineering. You will be responsible for taking innovative ideas – often starting as proofs-of-concept – and architecting them into highly scalable, production-grade systems that drive immediate business impact. 

Your primary focus will be building intelligent automation engines that can ingest vast amounts of unstructured data from the outside world, make autonomous decisions about that data using AI/ML and route actionable intelligence to our sales teams and partners. You will work closely with senior leadership to define technical strategy and join a talented team of engineers and architects dedicated to harnessing the power of AI for operational efficiency and growth. 

Position Responsibilities: 

  • System Architecture & Scaling:Lead the architectural design and implementation of complex backend systems, taking early-stage concepts and maturing them into resilient, high-load production environments.
  • Intelligent Data Acquisition:Develop robust strategies and systems for acquiring large volumes of data from diverse, often unstructured external sources, ensuring high data quality and reliability.
  • Applied AI/ML Integration: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.
  • Data Pipeline Engineering:Build high-throughput data pipelines that ingest, validate, process and route data efficiently to downstream applications, data warehouses and third-party ecosystems.
  • Database Strategy:Optimize data storage and retrieval strategies for large-scale datasets across both relational databases and modern data warehouses.
  • Technology Evaluation:Act as a technical leader by staying current with emerging tools in data engineering and applied AI, recommending adoption where it enhances our capabilities. 

Required Education and Skills: 

  • Software Engineering Foundations:5+ years of backend software engineering experience, with a strong track record of building data-intensive applications.
  • Python Proficiency:Expert-level proficiency in Python, with experience using it for both system building and data processing.
  • Handling Unstructured Data:Demonstrated experience building systems that interact with, ingest and structure messy or complex external data sources at scale.
  • Applied Machine Learning: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.
  • Database Expertise:Strong understanding of data modeling and performance tuning in relational databases and cloud data warehouses (preferably Snowflake).
  • API & Integration:Deep experience designing and consuming complex APIs to connect internal services with third-party data providers.
  • Cloud-Native Mindset:Experience building and deploying applications in cloud environments (AWS, GCP or Azure). 

Preferred Qualifications: 

  • Experience with containerized deployments (Docker/Kubernetes) and modern orchestration tools (e.g., Airflow, Celery).
  • Bachelor’s or master’s degree in computer science or a related technical field. 

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