IT Specialist (Data Engineer)

Full Job Description

This position is located in the Department of Health & Human Services, Centers for Medicare & Medicaid Services, Office of Information Technology, Enterprise Architecture & Data Group, Division of Enterprise Information Management Services.

As an IT Spec (Data Mgt) referred here as an IT Specialist (Data Engineer), GS-2210-12, you will design, build, & maintain the infrastructure for collecting, storing, & transforming raw data into accessible, usable information for data scientists.

ALL QUALIFICATION REQUIREMENTS MUST BE MET BY THE CLOSING DATE OF THIS ANNOUNCEMENT.

Your resume (limited to no more than 2 pages) must include detailed information as it relates to the responsibilities and specialized experience for this position.

Evidence of copying and pasting directly from the vacancy announcement without clearly documenting supplemental information to describe your experience will result in an ineligible rating.

This will prevent you from being considered further. Basic Requirement for the Information Technology Specialist series, GS-2210-12: 1.

Attention to Detail - is thorough when performing work and conscientious about attending to detail; 2.

Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services; 3.

Oral Communication - Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately; AND 4.

Problem Solving - identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations.

AND In order to qualify for the GS-12, you must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-11 grade level in the Federal government, obtained in either the private or public sector, to include: 1) Designing cloud-based data platforms that support complex, multi-source datasets in enterprise or multi-system environments; 2) Developing and improving automated data pipelines in production environments, for reliability, performance, and scalability; 3) Implementing data security, governance, and compliance practices, to enforce data quality, access controls, and performance optimization within regulated environments; AND 4) Advising stakeholders by translating business or data requirements into scalable data engineering solutions.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social).

Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment.

You will receive credit for all qualifying experience, including volunteer experience.

Click the following link to view the occupational questionnaire: https://apply.usastaffing.gov/ViewQuestionnaire/12921069 Major Duties:

• Design, build, and maintain scalable cloud-based and on-premises data infrastructure, including databases, data warehouses, and distributed data platforms that support large volumes of healthcare and administrative data.
• Develop and manage complex ETL/ELT processes and automated data pipelines that ingest, transform, and integrate data from multiple internal and external sources.
• Develop and enforce data quality frameworks, metadata management practices, and performance optimization strategies.
• Collaborate with cybersecurity and compliance teams to implement data protection controls, access management mechanisms, audit capabilities, and other safeguards necessary to support regulated healthcare data environments.
• Serve as a technical resource and advisor to data scientists, analysts, program officials, and IT leadership.