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Metadata Library Jobs in Allen, TX (NOW HIRING)

... libraries, code review checklists, test generation patterns, estimation support); enforce human-in ... Metadata-driven reporting patterns - dynamic pivots, configuration-driven layouts, and controlled ...

Lead AI/ML Engineer

Plano, TX · On-site

$98.10K - $129.20K/yr

... metadata extraction, and embedding generation. * Microservices & Serverless Systems: Develop ... Hands-on experience with GenAI libraries and frameworks, including LangChain, LlamaIndex, Hugging ...

Lead AI/ML Engineer

Plano, TX

$98.10K - $129.20K/yr

... metadata extraction, and embedding generation. * Microservices & Serverless Systems: Develop ... Hands-on experience with GenAI libraries and frameworks, includingLangChain,LlamaIndex, Hugging ...

... libraries, code review checklists, test generation patterns, estimation support); enforce human-in ... Metadata-driven reporting patterns -- dynamic pivots, configuration-driven layouts, and controlled ...

... libraries, code review checklists, test generation patterns, estimation support); enforce human-in ... Metadata-driven reporting patterns - dynamic pivots, configuration-driven layouts, and controlled ...

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Metadata Library information

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How much do metadata library jobs pay per hour?

As of May 31, 2026, the average hourly pay for metadata library in Allen, TX is $17.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $19.66 per hour, depending on experience, location, and employer.

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

To thrive as a Metadata Librarian, you need expertise in cataloging standards (such as MARC, Dublin Core), metadata schema, and information organization, usually supported by a Master's in Library Science or a related field. Familiarity with integrated library systems (ILS), metadata management tools, and knowledge of cataloging software like OCLC Connexion is typical. Attention to detail, analytical thinking, and strong communication skills help ensure accuracy and facilitate collaboration with library staff. These skills and qualities are crucial to maintaining accessible, well-organized digital and print collections that support user discovery and research.

What are some common challenges faced by professionals working in a metadata library role, and how can they be addressed?

Professionals in a metadata library role often encounter challenges such as maintaining consistency and accuracy in metadata standards across diverse collections, keeping up with evolving cataloging guidelines, and integrating new technologies or platforms. Addressing these challenges typically involves ongoing training, collaboration with colleagues to develop clear metadata policies, and staying informed about industry best practices. Regular communication with IT teams and subject specialists is also key to ensuring that metadata effectively supports discoverability and access for library users.

What are metadata librarians and what do they do?

Metadata librarians are information professionals who manage and organize metadata, which is data that describes other data, for library collections. They create, edit, and maintain metadata records to ensure resources are discoverable, accessible, and properly described in library catalogs and digital repositories. Their work supports searchability, digital preservation, and resource sharing by applying standards and best practices for cataloging. Metadata librarians often collaborate with IT staff, archivists, and subject specialists to enhance user access to library materials.

Can you make 6 figures as a librarian?

While most librarians earn below six figures, some specialized roles such as library directors or those working in large institutions with advanced degrees and certifications can reach or exceed a six-figure salary. Achieving this level often requires extensive experience, additional qualifications, and leadership responsibilities.

What is the difference between Metadata Library vs Metadata Specialist?

AspectMetadata LibraryMetadata Specialist
CredentialsTypically requires a degree in library science, information management, or related fieldsRequires similar credentials, often with additional certifications in data management or information systems
Work EnvironmentLibraries, archives, or information centers managing large metadata collectionsData-driven organizations, digital repositories, or information management teams
Employer & IndustryLibraries, museums, archives, academic institutionsTech companies, publishing, digital content providers
Search & Comparison IntentUnderstanding library metadata management rolesSpecialized data and metadata management tasks

The main difference is that a Metadata Library focuses on managing metadata within library and archival settings, while a Metadata Specialist handles metadata in broader digital and data environments. Both roles require similar credentials but serve different industry needs.

What are popular job titles related to Metadata Library jobs in Allen, TX? For Metadata Library jobs in Allen, TX, the most frequently searched job titles are:
What job categories do people searching Metadata Library jobs in Allen, TX look for? The top searched job categories for Metadata Library jobs in Allen, TX are:
What cities near Allen, TX are hiring for Metadata Library jobs? Cities near Allen, TX with the most Metadata Library job openings:
Lead Software Engineer - Databricks, Spark, AWS

Lead Software Engineer - Databricks, Spark, AWS

JPMorgan Chase & Co

Plano, TX • On-site

Full-time

Medical, Retirement

Posted 27 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

46th of 141 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.
  • Own Databricks cluster strategy and setup: runtime selection, autoscaling, driver/executor sizing, Spark configs, init 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.
  • Partner with platform security and networking teams to enforce encryption, network controls, and least-privilege access; ensure compliance with organizational policies.
  • Lead incident response and root-cause analysis; establish SLAs, observability, and runbooks; drive continuous improvement in reliability and cost efficiency.
  • Partner with platform security and networking teams to enforce encryption, network controls, and least-privilege access; ensure compliance with organizational policies.
  • Lead incident response and root-cause analysis; establish SLAs, observability, and runbooks; drive continuous improvement in reliability and cost efficiency.

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.
  • 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).
  • Security-first mindset: roles/instance profiles, secret management, encryption-at-rest/in-transit, and network controls.
  • Demonstrated leadership in code quality, reviews, testing strategy, CI/CD, and technical mentorship; excellent communication with stakeholders.

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.
  • CI/CD and automation tooling for data (Git workflows, artifact management) and testing frameworks (pytest, JUnit).
  • Observability for data systems (freshness/completeness metrics, lineage, SLAs, alerting).
  • Experience in financial services or other regulated industries.
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

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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