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Metadata Library Jobs in Atlanta, GA (NOW HIRING)

Askari Defense

Robotics Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Develop and maintain core libraries for programmatic, offline-first data analysis: the primary way ... Experience with cloud storage and its access patterns, including GCS buckets, object metadata, IAM ...

NICE

IT Software Engineer

Atlanta, GA · On-site

Build the MCP Integration Layer • Implement MCP server and client libraries that connect ... embedding generation, metadata enrichment, and upsert into vector stores • Build retrieval ...

ResolveSoft Inc

Data Management Specialist

Atlanta, GA · On-site

$70K - $92K/yr

... metadata management and documentation to support data transparency and usability. * Maintain and ... Bachelor's degree in information management, library science, information systems, public ...

NICE

Team Lead, AI Engineering

Atlanta, GA · On-site

$98K - $129K/yr

... libraries that connect enterprise systems to AI agents, including Atlassian, Microsoft 365 ... generation, metadata enrichment, hybrid search, re-ranking, context assembly, and vector index ...

New

Aprio

Business Intelligence Architect

Atlanta, GA · On-site

Design semantic models and data products with AI-readiness in mind-ensuring metadata quality, field ... Create internal documentation, standards guides, and reusable component libraries for the team

Aprio

Business Intelligence Architect

Atlanta, GA · On-site

$120 - $190/hr

Design semantic models and data products with AI‑readiness in mind--ensuring metadata quality ... Create internal documentation, standards guides, and reusable component libraries for the team

GAP SOLUTIONS INC

Cloud Data Engineer (50576)

Atlanta, GA · On-site

$112K - $134K/yr

Data products include data collections, storage, reports, dashboards, metadata collection ... Experience with Python or R including experience with data manipulation libraries (e.g., Pandas ...

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All JobsMetadata Library JobsMetadata Library Jobs in Atlanta, GA

Metadata Library information

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How much do metadata library jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for metadata library in Atlanta, GA is $17.97, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $20.34 per hour, depending on experience, location, and employer.

What is a metadata librarian?

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.

What skills and qualifications are needed to thrive as a metadata librarian?

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 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 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 Atlanta, GA?

For Metadata Library jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Metadata Library jobs in Atlanta, GA look for?

The top searched job categories for Metadata Library jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Metadata Library jobs?

Cities near Atlanta, GA with the most Metadata Library job openings:

Metadata Library jobs near you
Infographic showing various Metadata Library job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $37,369 per year, or $18 per hour.

Robotics Data Engineer

Askari Defense

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Askari Defense is a company focused on developing high-performance, fully-autonomous kinetic intercept systems for modern warfare. The Robotics Data Engineer will build and own the data foundation for autonomy, perception, and flight sciences, ensuring a unified data backbone that serves as the company’s source of truth for mission data.
Responsibilities:
• You will own the data lifecycle end to end, from what gets logged onboard the vehicle to the tooling engineers use to make sense of it.
• You will focus on problems in all of the following areas:
• Pipeline & Infrastructure: Design and build the unified data backbone that ingests, parses, validates, and synchronizes data across multiple vehicles, sources, and modalities, aligning time-series telemetry and imagery into a single coherent timeline.
• Mission Data Warehousing: Develop a warehousing strategy that converts raw logs into efficient, queryable formats serving as the company’s source of truth for all mission data.
• Storage Management: Manage and scale storage for the large datasets generated by flight testing.
• Data Provenance & Versioning: Track data provenance and version it against the software and hardware configuration it came from, so analyses can filter by flight type, vehicle configuration, sensor payload, and software version while avoiding the mixing of incompatible data.
• Onboard Logging: Partner with autonomy on, or take full ownership of, hardening the onboard C++ logging framework for efficiency, reliability, and completeness.
• Analysis Tooling: Develop and maintain core libraries for programmatic, offline-first data analysis: the primary way engineers load mission data, run analysis, and generate consistent, high-quality visualizations for reports, debugging, and development.
• Validation & Regression Automation: Build automated validation and regression pipelines integrated with CI/CD, flagging performance deviations automatically once mission data lands.
• Reusable Engineering Workflows: Mature existing tooling into a fully featured suite so engineers can compose analysis tasks without writing ad hoc code.
• Retrieval & Query Systems: Build retrieval and query systems on top of the backbone, letting teams pull the exact cross-section of data they need by flight context, software/hardware version, or content.
• Cross-Functional Analysis Support: Work directly with GNC, perception, flight sciences, and state estimation engineers to understand their data needs and build the routines that characterize system performance and troubleshoot issues.
• ML Data Enablement: Build the data infrastructure that feeds model training and evaluation, including versioning, labeling, and curating datasets so they are ready for ML pipelines.
• Complex Data Analysis: Take on complex, data-heavy analysis tasks directly, including the backlog the team has already identified.
Qualifications:
Required:
• Education: Degree in Computer Science, Robotics, or a related technical field, or equivalent practical experience.
• Experience: A few years of professional experience in a data engineering, robotics, or backend software role, building systems that others depend on.
• Python: Strong proficiency in Python and its data ecosystem, including Pandas and NumPy, with the software discipline to build maintainable libraries rather than one-off scripts.
• Large, Complex Datasets: Proven experience structuring and manipulating large, complex datasets, especially time-series data drawn from multiple unsynchronized sources.
• Travel: Ability to travel as needed to support field and flight-test operations.
Preferred:
• C++ & Onboard Logging: Working knowledge of C++, sufficient to develop and maintain onboard logging software.
• Robotics Data Formats: Hands-on experience with data formats common in robotics and data engineering, including uLog, ROS 2 bags, MCAP, Parquet, Protobuf, HDF5, or related formats.
• Data Visualization: Strong skills in data visualization for analysis and reporting, including high-quality programmatic plots using Matplotlib, Plotly, Seaborn, or related tools.
• Interactive Analysis Tools: Experience building interactive, exploratory frontends that help engineers navigate and make sense of complex mission data, including Plotly Dash, Bokeh, Streamlit, Rerun, Foxglove, PlotJuggler, or related tools.
• Databases & Query Systems: Experience with relational databases, such as PostgreSQL, and SQL for building queryable data stores.
• Cloud Storage: Experience with cloud storage and its access patterns, including GCS buckets, object metadata, IAM, or related systems.
• CI/CD & Automated Testing: Experience building and maintaining CI/CD pipelines for data processing and automated testing.
• Communication Protocols: Familiarity with communication protocols used to move data between systems, including ZMQ, WebSocket, or related protocols.
• Low-Level Storage & I/O: Familiarity with low-level Linux storage and I/O internals, including ext4, memory-mapped I/O, page cache, io_uring, NVMe, zero-copy, fsync/durability, and the ROS 2 stack used for onboard logging.
• MLOps: Familiarity with MLOps principles and tools for dataset versioning, experiment tracking, and training-pipeline automation.
• VLM-Assisted Data Workflows: Comfort scripting against off-the-shelf VLMs, including Gemini, Llama, or related models, for tasks such as data labeling and curation.
Company:
Askari Defense creates affordable intelligent kinetic defenses for the era of robotic warfare. Founded in 2024, the company is headquartered in Atlanta, USA, with a team of 2-10 employees. The company is currently Early Stage.

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