Top 109 Engineer big data python /java , databricks Jobs in Columbus

Finance Analytics & AI Senior Consultant
Deloitte —Columbus, OH
- Full-time
- Azure
- Computer Science
- Up to 50% travel
7h
Kinaxis Manager
Deloitte —Columbus, OH
- $141,200 - $278,300 a year
- Full-time
- Computer Science
- Up to 50% travel
- ERP systems
Sr. Manager Data Science
The Scotts Miracle-Gro Company —Marysville, OH
- $175,700 - $206,700 a year
- Full-time
- Management
- Analysis skills
- Supervising experience
- Health insurance
- Dental insurance
Principal Application Security Engineer - Threat Research
CVS Health —Columbus, OH
- $144,200 - $288,400 a year
- Full-time
- Azure
- System design
- HIPAA
- Health insurance
- Dental insurance
Director of Data Governance
Northwest Bank —Columbus, OH
- Full-time
- Computer Science
- Office
- Bachelor's degree
Quick Apply
US LBM Cybersecurity Engineer – Azure DevSecOps
US LBM Holdings —United States
- $115,000 - $130,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Quick Apply

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Finance Analytics & AI Senior Consultant
Deloitte —Columbus, OH
Analyze business, functional, and technical requirements and translate them into AI-related design requirements, solution designs, workflows, and implementation…
7h
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Deloitte —Columbus, OH
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Finance Analytics & AI Senior Consultant

Deloitte -
Columbus, OH

Apply Now

Job Details

Full-time
7 hours ago

Qualifications

AI models
Financial planning
Financial forecasting
Software engineering
Data transformation pipeline development
Financial model development
Automation
Software implementation
Generative models
Enterprise solutions implementation
Application deployment
AI platforms (beyond public GPTs)
Enterprise software systems development
Infrastructure architecture design
Technical solutions implementation
Programming languages
Production systems
Machine learning cloud services
Machine intelligence
Solution architecture design
Model deployment
Task prioritization
Cloud Architecture Design (Architecture design skills)
AI-driven automation
Financial data analysis tools
Implementing IT solutions
Design (software development lifecycle)
Generative AI
Data analytics technologies
Financial process automation

Full Job Description

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 12/01/2026

Work you'll do

As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.

Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities

Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations

Analyze business, functional, and technical requirements and translate them into AI-related design requirements, solution designs, workflows, and implementation plans

Partner with developers and technical teams to build AI-enabled solutions, providing functional guidance and design clarification throughout development and testing

Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms

Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications, helping translate client needs into technical solution requirements

Identify delivery risks, track dependencies, and support project execution across cross-functional teams

A successful candidate would possess these skills:

§ Ability to work independently and collaborate as part of a team

§ Effective written and verbal communication skills

§ Meticulous attention to detail and quality of work product

§ Ability to build and sustain professional relationships

§ Ability to lead projects or workstreams

§ Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

§ Strong interpersonal skills and professional demeanor

§ Ability to meet deadlines

§ Ability to provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.

Qualifications

Required:

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics

Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.

4+ years of experience with software development using Python or similar coding languages.

Experience architecting AI systems on cloud platforms (e.g., GCP).

Experience taking production-grade AI-driven solutions from conception to launch for customers.

Experience leading technical discovery sessions with customers.

Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.

Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments

Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini

Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics

Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday

One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform, Snowflake, Databricks

Apply Now

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engineer big data python /java , databricks jobs in columbus

Finance Analytics & AI Senior Consultant

Kinaxis Manager

Sr. Manager Data Science

Principal Application Security Engineer - Threat Research

Director of Data Governance

US LBM Cybersecurity Engineer – Azure DevSecOps

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