Top 99 Big data python /java , databricks Jobs in Columbus

Lead Software Engineer - Ab Initio
JPMorganChase —Columbus, OH
- Full-time
- Software troubleshooting
- 5 years
- Java
- Health insurance
- Tuition reimbursement
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
Kinaxis Manager
Deloitte —Columbus, OH
- $141,200 - $278,300 a year
- Full-time
- Computer Science
- Up to 50% travel
- ERP systems
Analytics Lead, Manufacturing Quality
Anduril Industries —Ashville, OH
- $165,000 - $218,000 a year
- Email
- Computer Science
- SQL
- Travel
Quick Apply
Home Lending Modeling & Strategic Forecast - Senior Associate
JPMorganChase —Columbus, OH
- Full-time
- 5 years
- Office
- Finance
- Health insurance
- Tuition reimbursement
Consumer & Community Banking - Treasury Controller - Managing Director
JPMorganChase —Columbus, OH
- Full-time
- CPA
- Bachelor of Science
- Office
- Health insurance
- Tuition reimbursement
Group AI Technical Specialist
Magna International —Lancaster, OH
- Full-time
- Computer science
- Computer Science
- Java
Quick Apply
2d
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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big data python /java , databricks jobs near columbus

Lead Software Engineer - Ab Initio

JPMorganChase -
Columbus, OH

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Job Details

Full-time

Benefits

Health insurance
Tuition reimbursement
Retirement plan

Qualifications

Performance monitoring
Commercial use (data warehousing systems)
Cloud analytics services
Software engineering
Cloud data warehouses
Software troubleshooting
Tooling
Team leadership
Enterprise software
Improving system uptime or availability
Coaching
System performance optimization
Agile scheduling
Scalable systems
Ab Initio
Technology security practices
Team development
AWS
Cloud security best practices implementation
IT monitoring tools
Product backlog management
Incident response (Crisis management methodologies)
Mentoring
Leading team collaboration initiatives
Scalability
Production monitoring
Software testing
Data-driven problem-solving
Monitoring system implementation
Agile software development

Full Job Description

JOB DESCRIPTION

Build the data foundations that enable trusted insights, stronger controls, and better outcomes across the firm through scalable, well-governed data platforms.

As a Lead Software Engineer at JPMorganChase within Corporate Technology's Data Governance and Controls Technology team, you will design and deliver secure, resilient, and high-performing data solutions that improve how data is governed, accessed, and used. You will partner across business, analytics, and technology teams, while mentoring engineers and setting technical standards that raise quality and reliability at scale.

Job responsibilities

Design and deliver scalable batch data pipelines with strong performance, fault tolerance, and end-to-end observability.
Develop and operate workflow orchestration to schedule, monitor, and manage data movement and transformations with clear operational ownership.
Translate complex business requirements into technical solutions aligned to data lake and data warehousing standards.
Establish and maintain governance processes for data modeling, cataloging, ownership, lineage, and access control to improve trust and transparency.
Optimize large-scale distributed processing workloads through performance tuning, efficient storage/compute patterns, and resilient runtime design.
Mentor engineers through technical reviews, standards, and knowledge sharing to strengthen engineering excellence and consistency.
Perform advanced quantitative analysis on large datasets to uncover trends and drive data-informed decisions.
Uses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and pipeline analysis (e.g., drafting documentation), validating outputs and handling data according to sensitivity and security requirements.
Applies reuse-first, AI-assisted practices within SDLC/toolchain automation to reduce manual toil while maintaining security, resiliency, and traceability/auditability expectations.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
5+ years of data engineering experience building and operating production-grade data pipelines in cloud environments.
Deep expertise with Amazon Web Services data platforms and data lake architectures, including hands-on experience with Ab Initio.
Hands-on experience with modern data lake and warehousing technologies (for example, Databricks and Snowflake) and processing engines such as Spark and Flink.
Proficiency in SQL and experience with Oracle Database plus one or more scripting/programming languages (for example, Java, Perl, or Unix scripting).
Experience applying Agile delivery practices, including prioritizing backlogs and leading team ceremonies to drive continuous improvement.
Experience with large-scale distributed data processing, performance tuning, and reliability practices (monitoring, alerting, and incident response readiness).
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
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 engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

Experience with data modeling using Erwin.
Amazon Web Services certification and/or Databricks certification.
8+ years of overall experience, including a strong track record as an individual contributor and demonstrated experience leading technical direction for teams.
Experience implementing data governance capabilities (for example, data cataloging, lineage, stewardship workflows, and access controls) in enterprise environments.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Apply Now

Refine Your Search

big data python /java , databricks jobs in columbus

Lead Software Engineer - Ab Initio

Senior Solution Architect, OptiFreight Logistics

Kinaxis Manager

Analytics Lead, Manufacturing Quality

Home Lending Modeling & Strategic Forecast - Senior Associate

Consumer & Community Banking - Treasury Controller - Managing Director

Group AI Technical Specialist

Principal Application Security Engineer - Threat Research

Director of Data Governance

US LBM Cybersecurity Engineer – Azure DevSecOps

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