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Cataloging Jobs in Ohio (NOW HIRING)

Laksan Technologies

Service Now Developer

Columbus, OH · On-site

$52.25 - $71.75/hr

Service Catalog item development * Participation in requirements and/or design review sessions * Ability to design and implement solutions on the ServiceNow platform that satisfy business ...

Doc's Diesel

Amazon Advertising Specialist

Bryan, OH

$60K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Recommend new catalog items and product opportunities that strengthen advertising performance and close gaps in the assortment * Assess the listing and catalog factors that influence ad performance ...

Doc's Diesel

Amazon Advertising Specialist

Bryan, OH · On-site

$60K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Recommend new catalog items and product opportunities that strengthen advertising performance and close gaps in the assortment * Assess the listing and catalog factors that influence ad performance ...

Joseph Chevrolet

Automotive Parts Professional

Cincinnati, OH · On-site

$34K - $43K/yr

Read and understand the parts catalog when looking up and speaking to specific parts * Pull/fill orders from stock and maintain weekly bin checks to ensure accuracy of stock * Make sure all internal ...

Joseph Chevrolet

Automotive Parts Professional

Cincinnati, OH · On-site

$34K - $43K/yr

Read and understand the parts catalog when looking up and speaking to specific parts * Pull/fill orders from stock and maintain weekly bin checks to ensure accuracy of stock * Make sure all internal ...

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All JobsCataloging JobsCataloging Jobs in Ohio

Cataloging information

See Ohio salary details

$31.4K

$44.3K

$54.2K

How much do cataloging jobs pay per year?

As of Aug 19, 2026, the average yearly pay for cataloging in Ohio is $44,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,900.00 and $45,200.00 per year, depending on experience, location, and employer.

What is cataloging?

Cataloging is the process of creating detailed records for items in a collection, such as books, artworks, or digital materials, to make them easy to find and access. In libraries and museums, catalogers assign standardized metadata like titles, authors, subjects, and classification numbers, ensuring consistency and discoverability. This work helps users search for and locate resources efficiently, both in physical and digital catalogs. Cataloging often involves following specific rules and using specialized software or cataloging systems.

What are the key skills and qualifications needed to thrive as a cataloger, and why are they important?

To thrive as a Cataloger, you need a solid understanding of bibliographic standards, metadata schemas, and classification systems, as well as a degree in library science or a related field. Familiarity with integrated library systems (ILS) like OCLC WorldCat, MARC records, and cataloging tools such as RDA Toolkit is typical. Attention to detail, analytical thinking, and strong organizational skills are vital soft skills in this role. These skills ensure accurate, accessible records that support efficient information retrieval and resource management in libraries and archives.

What are some common challenges faced by cataloging professionals when working with diverse material formats?

Cataloging professionals often work with a wide variety of materials, including books, multimedia, digital resources, and special collections. Each format can present unique challenges, such as interpreting non-standard metadata, dealing with incomplete or ambiguous records, and ensuring consistency across different cataloging standards. Staying up-to-date with evolving cataloging rules (like RDA or MARC) and adapting workflows to accommodate new material types are also key aspects of the role. Collaboration with subject specialists and technical services teams is typically essential to resolve complex cataloging issues and maintain high-quality records.

What is the difference between Cataloging vs Librarian?

AspectCatalogingLibrarian
Required CredentialsTypically a postsecondary certificate or associate degree in library science or related fieldBachelor's or master's degree in library science (MLS or MLIS)
Work EnvironmentLibraries, archives, museums, or digital repositoriesPublic, academic, or special libraries, educational institutions
Job FocusOrganizing and classifying library materials, creating catalog recordsProviding access to information, assisting patrons, managing collections
Common Search/ComparisonCataloging vs Librarian

While cataloging involves organizing and classifying library materials, librarians perform a broader role that includes assisting users, managing collections, and providing information services. Both roles are essential in library settings, but cataloging is more specialized in metadata and classification tasks, whereas librarians have a wider scope of responsibilities.

What are the most commonly searched types of Cataloging jobs in Ohio?

The most popular types of Cataloging jobs in Ohio are:

What are popular job titles related to Cataloging jobs in Ohio?

For Cataloging jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Cataloging jobs in Ohio look for?

The top searched job categories for Cataloging jobs in Ohio are:

Cataloging jobs near you
Infographic showing various Cataloging job openings in Ohio as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $44,335 per year, or $21.3 per hour.

Lead Software Engineer - Databricks/Spark/AWS

JPMorgan Chase & Co.

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 17 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description


This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.
As a Lead Software Engineer at JPMorgan Chase within Corporate Sector, Chief Technology Office, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities:
  • Lead architecture and delivery of high-throughput, low-latency data pipelines using Databricks and Apache Spark (Core, SQL, Structured Streaming).
  • Establish lakehouse patterns with Delta Lake (ACID transactions, schema evolution, time travel, Z-ordering, compaction) and ensure performance at scale.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Own Databricks cluster strategy and setup: runtime selection, autoscaling, driver/executor sizing, Spark configs, unit scripts, cluster policies, pools, and instance profiles.
  • Orchestrate jobs with Databricks Workflows; integrate with AWS eventing and orchestration as needed.
  • Design secure data ingestion and transformation frameworks leveraging AWS services:
    • S3 for data lake storage and lifecycle management
    • Glue for catalog/metadata and ETL jobs
    • IAM and Secrets Manager for role-based access and credential management
    • CloudWatch for logging, metrics, and alerting
    • Lambda for serverless utilities
    • Kinesis and/or Kafka/MSK for streaming ingestion
  • Enforce data quality, lineage, and governance using Unity Catalog and/or Glue Catalog; embed expectations and validation into pipelines.
  • Drive Spark performance engineering: partitioning strategies, file sizing, AQE, broadcast joins, shuffle tuning, caching, spill/memory control, and job right-sizing to optimize cost.
  • Build reusable libraries, frameworks, and APIs in Python and/or Java; oversee unit, integration, and data validation testing.
  • Implement CI/CD for data projects (Git-based workflows), Terraform Infrastructure deployments environment promotion, and automated deployments; champion engineering standards and code reviews.

Required qualifications, capabilities, and skills:
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • 10+ years of professional software/data engineering experience, including substantial production work with Spark on Databricks or EMR.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
  • Strong proficiency in Python and/or Java for data processing, platform tooling, and automation.
  • Hands-on Databricks expertise (Delta Lake, Unity Catalog, Workflows, Repos/notebooks, SQL Warehouses).
  • Solid AWS experience: S3, IAM, Glue, CloudWatch, Kinesis / MSK, DynamoDB
  • Proven track record architecting and operating ETL/ELT pipelines (batch and streaming), with schema design/evolution, SLAs, and reliability engineering.
  • Deep skills in Spark performance tuning and Databricks cluster setup/optimization.
  • Strong SQL and analytics data modeling (dimensional/star schema; lakehouse best practices).
  • CI/CD and automation tooling for data (Git workflows, artifact management) and testing frameworks (pytest, JUnit).
  • Security-first mindset: roles/instance profiles, secret management, encryption-at-rest/in-transit, and network controls.

Preferred qualifications, capabilities, and skills:
  • Experience with Delta Live Tables and advanced governance (catalogs, grants, auditing) in Databricks.
  • AWS networking knowledge (VPC, subnets, routing, security groups) and data egress controls.
  • Experience with Terraform for Infra deployments
  • Cost optimization experience: autoscaling strategies, spot vs on-demand, auto-termination, storage layouts and compaction.
  • Familiarity with Kafka/MSK or Kinesis Data Streams/Firehose for real-time ingestion.
  • Observability for data systems (freshness/completeness metrics, lineage, SLAs, alerting).
  • Demonstrated leadership in code quality, reviews, testing strategy, CI/CD, and technical mentorship; excellent communication with stakeholders.

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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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