Top 110 Big data python /java , databricks Jobs in Columbus

Senior Lead Software Engineer -Java/AWS/Agentic
JPMorganChase —Columbus, OH
- Full-time
- 5 years
- System design
- SQL
- Health insurance
- Tuition reimbursement
Sr. AI Engineer - Forward Deployed Engineer Manager· Databricks · Reinvention Centers
Accenture —Columbus, OH
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Office
- Java
- US work authorization
- Paid holidays
- Disability insurance
Data Architecture/Data Fabric Manager - Utilities
Accenture —Columbus, OH
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Master's degree
- Travel
- US work authorization
- Paid holidays
- Disability insurance
Senior Data Analyst, Investment Professional
Nationwide —Columbus, OH
- 8 hour shift
- Hybrid work
- Computer Science
- Office
- 8 years
- Paid holidays
- Disability insurance
Lead Software Engineer
JPMorganChase —Columbus, OH
- Full-time
- 5 years
- System design
- SQL
- Health insurance
- Tuition reimbursement
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime
Deloitte —Columbus, OH
- $134,500 - $265,100 a year
- Full-time
- Computer science
- Azure
- Computer Science
Data Architect (AWS, Azure, GCP)
CapTech Consulting —Columbus, OH
- Full-time
- Azure
- 5 years
- Office
- Loan repayment program
- Disability insurance
Quick Apply
Data Architecture/Data Fabric Senior Manager - Utilities
Accenture —Columbus, OH
- $122,700 - $338,300 a year
- Full-time
- Hybrid work
- Master's degree
- Travel
- US work authorization
- Paid holidays
- Disability insurance
Senior Software Engineer
Path Robotics —Columbus, OH
- Java
- Mentoring
- APIs
- Paid parental leave
- Dental insurance
Quick Apply
Lead Machine Learning / Data Science Engineer
CapTech Consulting —Columbus, OH
- Full-time
- 7 years
- Azure
- Management
- Loan repayment program
- Disability insurance
Quick Apply
Senior Associate, Decision Science - Finance Analytics
JPMorganChase —Columbus, OH
- Full-time
- Mid-level
- Office
- 3 years
- Health insurance
- Tuition reimbursement
Enterprise Architect
Infoverity —Dublin, OH
- Full-time
- Remote
- Azure
- Computer Science
- 5 years
12d
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
Snowflake Advanced AI Solution Lead
Accenture —Columbus, OH
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
Senior Solution Architect, OptiFreight Logistics
Cardinal Health —Dublin, OH
- $123,400 - $176,300 a year
- Azure
- Java
- 8 years
- Paid parental leave
- Health savings account
Senior Solution Architect, OptiFreight Logistics
Information Technology Senior Management Forum —Dublin, OH
- $123,400 - $176,300 a year
- Full-time
- Azure
- Java
- 8 years
- Paid parental leave
- Health savings account
Senior Data Architect (AWS, Azure, GCP)
CapTech Consulting —Columbus, OH
- Full-time
- 7 years
- Azure
- Office
- Loan repayment program
- Disability insurance
Quick Apply
Consultant, Cybersecurity (Data Engineer)
Nationwide —Columbus, OH
- 8 hour shift
- Hybrid work
- Computer science
- 6 years
- Computer Science
- Paid holidays
- Disability insurance
Lead Software Engineer - SAP - BTP AI Developer
JPMorganChase —Columbus, OH
- $137,750 - $185,000 a year
- Full-time
- 5 years
- Senior level
- Health insurance
- Tuition reimbursement
Specialist, Marketing Analytics
Nationwide —Columbus, OH
- 8 hour shift
- Hybrid work
- 5 years
- Salesforce
- Mid-level
- Paid holidays
- Disability insurance

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big data python /java , databricks jobs near columbus

Senior Lead Software Engineer -Java/AWS/Agentic

JPMorganChase -
Columbus, OH

Apply Now

Job Details

Full-time

Benefits

Health insurance
Tuition reimbursement
Retirement plan

Qualifications

AI models
Spring Boot
Data model design
Software engineering
Go
JUnit
System troubleshooting
Continuous Delivery (CD) implementation
Engineering development testing
Data modeling projects
Tooling
Enterprise software
Coaching
System design
Integration Architecture Design (Architecture design skills)
Schema design
Enterprise software systems development
Microservices
SQL
Machine intelligence
Version control systems
Cloud Native Design
Developing automated testing protocols
Cloud automation
Machine learning (ML) fundamentals
Distributed computing
DevOps automation
AI-driven automation
Stream Processing
Developer tools

Full Job Description

JOB DESCRIPTION

As a Senior Lead Software Engineer at JPMorganChase within Employee Experience, you are an integral part of an agile team that enhances, builds, and delivers secure, stable, and scalable technology products. You will drive meaningful business outcomes by applying deep technical expertise, strong engineering judgment, and a customer-focused mindset to solve complex problems across distributed systems, cloud, and artificial intelligence.

Job responsibilities

Lead end-to-end design and delivery of scalable Java services and APIs, optimizing for performance, resiliency, and maintainability in production environments
Architect and implement cloud-native solutions on Amazon Web Services, applying well-structured patterns for reliability, observability, and cost-aware scalability
Mentor engineers through thoughtful code reviews, design guidance, and pragmatic engineering standards that raise quality and accelerate delivery
Collaborate with product, design, and data partners to define technical strategies that improve user experience and automate key workflows
Build and optimize data pipelines using Databricks and Apache Spark to enable analytics and machine learning workflows at scale
Drive engineering excellence across continuous integration and delivery, automated testing, and secure software development practices
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Advanced Java experience, including building Spring Boot–based services in a microservices architecture
Experience with Java (Core & EE, Spring Boot, Spring MVC, Spring Cloud)
Practical experience delivering system design, application development, automated testing, and operational stability for production systems
Hands-on experience building cloud-native applications on Amazon Web Services (e.g., compute, storage, database, container, and serverless services)
Experience with continuous integration and delivery and modern build/version control practices (e.g., Git, Maven/Gradle, and pipeline automation)
Proficiency with automated testing approaches and frameworks (e.g., JUnit and mocking frameworks) and a strong quality-first mindset
Experience with relational databases and SQL, including data modeling and performance considerations for high-throughput systems
Knowledge of messaging and integration patterns, including event streaming technologies such as Kafka
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.

Preferred qualifications, capabilities, and skills

Advanced Python experience for automation, data engineering, or machine learning enablement
Experience building and deploying agentic or AI-assisted workflows, including evaluation and human-in-the-loop validation patterns
Experience with infrastructure as code and cloud provisioning automation (e.g., Terraform, CloudFormation, or AWS CDK)
Experience with containerization and orchestration (e.g., Docker and Kubernetes) for scalable service operations
Experience with CockroachDB and Go (Golang) in distributed system environments

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Apply Now

Refine Your Search

big data python /java , databricks jobs in columbus

Senior Lead Software Engineer -Java/AWS/Agentic

Sr. AI Engineer - Forward Deployed Engineer Manager· Databricks · Reinvention Centers

Data Architecture/Data Fabric Manager - Utilities

Senior Data Analyst, Investment Professional

Lead Software Engineer

Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Data Architect (AWS, Azure, GCP)

Data Architecture/Data Fabric Senior Manager - Utilities

Senior Software Engineer

Lead Machine Learning / Data Science Engineer

Senior Associate, Decision Science - Finance Analytics

Enterprise Architect

Sr. Manager Data Science

Snowflake Advanced AI Solution Lead

Senior Solution Architect, OptiFreight Logistics

Senior Solution Architect, OptiFreight Logistics

Senior Data Architect (AWS, Azure, GCP)

Consultant, Cybersecurity (Data Engineer)

Lead Software Engineer - SAP - BTP AI Developer

Specialist, Marketing Analytics

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