Top 106 Engineer big data python /java , databricks Jobs in Columbus

Business Banking Data Owner Senior Associate - Insurance
JPMorganChase —Columbus, OH
- $92,150 - $140,000 a year
- Full-time
- Mid-level
- Office
- SQL
- Health insurance
- Tuition reimbursement
Business Banking Data Owner Lead - Insurance
JPMorganChase —Columbus, OH
- $118,750 - $175,000 a year
- Full-time
- Master's degree
- 8 years
- SQL
- Health insurance
- Tuition reimbursement
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
Kinaxis Manager
Deloitte —Columbus, OH
- $141,200 - $278,300 a year
- Full-time
- Computer Science
- Up to 50% travel
- ERP systems
Application Deployment Leader
Hexion Inc. —Columbus, OH
- 18 years or older
- Computer Science
- Pass drug screening
Analytics Lead, Manufacturing Quality
Anduril Industries —Ashville, OH
- $165,000 - $218,000 a year
- Email
- Computer Science
- SQL
- Travel
Quick Apply
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
AI/ML Computational Science Engineer
Accenture —Columbus, OH
- $24.42 - $77.88 an hour
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
9h
Group AI Technical Specialist
Magna International —Lancaster, OH
- Full-time
- Computer science
- Computer Science
- Java
Quick Apply
3h

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Principal Application Security Engineer - Threat Research
CVS Health —Columbus, OH
5+ years of experience performing vulnerability analysis and risk prioritization using industry-standard tools, with the ability to provide clear, actionable…
$144,200 - $288,400 a year
AI/ML Computational Science Engineer
Accenture —Columbus, OH
MS or PhD in related field preferred (computer science, engineering, etc.). Strong written & verbal communication skills and ability to communicate complex…
$24.42 - $77.88 an hour
9h

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Business Banking Data Owner Senior Associate - Insurance
JPMorganChase —Columbus, OH
4+ years of experience in a data-related field, such as data management, data governance, data analytics, data engineering, product data, business analysis, or…
$92,150 - $140,000 a year
Business Banking Data Owner Lead - Insurance
JPMorganChase —Columbus, OH
Experience with data engineering, analytics, or governance tools such as SQL, Tableau, Alteryx, Spark, AWS, Snowflake, Databricks, Python, or related platforms.
$118,750 - $175,000 a year

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Business Banking Data Owner Senior Associate - Insurance

JPMorganChase -
Columbus, OH

Apply Now

Job Details

Full-time
$92,150 - $140,000 a year

Benefits

Health insurance
Tuition reimbursement
Retirement plan

Qualifications

Data compliance
Requirements specification
Requirements design
Data Retention (Data management)
Collaboration with product development teams
Bachelor's degree
Data quality monitoring
Data Security (Data management)
Requirements analysis
Retention policy implementation
Project stakeholder communication
Cross-functional communication
Metadata management
Metadata creation
Stakeholder management

Full Job Description

JOB DESCRIPTION

Job Description

As a Data Owner Senior Associate within Business Banking, you will be accountable for data created, provisioned, or consumed across Business Banking products and applications in support of business objectives, advanced analytics, operations, regulatory obligations, and reporting. You will partner with Product, Technology, Analytics, Operations, Risk, Control, and Data Management teams to ensure critical data is clearly defined, properly classified, well-documented, high quality, and protected throughout its lifecycle.

In this role, you will help advance Business Banking's data strategy by defining data requirements, uplifting metadata, supporting data integration into analytics platforms, and executing processes that identify, monitor, and mitigate data risks. You will also help translate business needs into clear data specifications, support remediation of data issues, and maintain documentation that improves data understanding, control, and reuse across the organization.

Job Responsibilities

Define and document the scope, meaning, purpose, ownership, and classification of critical Business Banking data.
Create plans for the development and delivery of product data to support strategic objectives, operations, analytics, AI/ML use cases, and reporting.
Document requirements for data accuracy, completeness, timeliness, lineage, metadata, and consumption across business and technology stakeholders.
Execute processes to identify, monitor, and mitigate data risks, including risks related to protection, retention and destruction, storage, use, access, and quality.
Partner with Technology, Product, Analytics, Operations, Risk, and Control teams to investigate data issues, identify root causes, and support timely remediation.
Support integration of Business Banking data into approved analytics and reporting platforms while maintaining data governance and control expectations.
Track workstreams, issues, KPIs, and deliverables to support transparent execution of data initiatives.
Maintain comprehensive documentation of data models, data structures, business rules, metadata, and data delivery processes.

Required Qualifications, Capabilities, and Skills

Bachelor's degree required.
4+ years of experience in a data-related field, such as data management, data governance, data analytics, data engineering, product data, business analysis, or data quality.
Experience working with business or product data, including requirements definition, data documentation, issue analysis, or data controls.
Working knowledge of data management, metadata, data quality, privacy/security, retention, and governance concepts.
Ability to translate business needs into clear data requirements and partner with technology teams on implementation.
Strong analytical, problem-solving, communication, and stakeholder-management skills.
Proven ability to manage multiple workstreams and deliver through cross-functional partnerships.
Familiarity with SQL, database concepts, cloud or big-data platforms, or data modeling concepts.

Preferred Qualifications, Capabilities, and Skills

Business Banking, lending, deposits, servicing, payments, or small business financial services experience.
Experience with Snowflake, AWS, Databricks, Hadoop/Spark, Alteryx, Tableau, or similar data platforms/tools.
Experience with data governance frameworks, metadata repositories, data catalogs, lineage, data quality rules, or issue management.
Familiarity with Agile delivery, JIRA, user stories, technical specifications, or product/data operating models.
Experience supporting regulatory reporting, risk management, operational controls, or AI/ML data readiness.

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.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Apply Now

Refine Your Search

engineer big data python /java , databricks jobs in columbus

Business Banking Data Owner Senior Associate - Insurance

Business Banking Data Owner Lead - Insurance

Sr. Manager Data Science

Kinaxis Manager

Application Deployment Leader

Analytics Lead, Manufacturing Quality

Principal Application Security Engineer - Threat Research

Director of Data Governance

AI/ML Computational Science Engineer

Group AI Technical Specialist

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