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IT Cyber Security Specialist

Department of Labor
Office of Inspector General
This job announcement has closed

Summary

This position is located in the Office of Inspector General (OIG), Office of Chief technology Officer (OCTO), Division of Information Technology (DIT). DIT is composed of two Branches, the Branch of Information Technology (BIT) and the Branch of Database Management and Applications (BDMA) which provide IT services for the OIG.

Overview

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Hiring complete
Open & closing dates
08/17/2022 to 08/29/2022
Salary
$99,595 to - $176,300 per year
Pay scale & grade
GS 13 - 14
Locations
Many vacancies in the following locations:
San Francisco, CA
District of Columbia, DC
Atlanta, GA
Chicago, IL
Remote job
No
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Occasional travel - May be required in support of OIG mission.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Competitive
Promotion potential
14 - There is no obligation to provide future promotions if you are selected. Promotions are dependent on your ability to perform the duties at a higher level, meet all the performance requirements, and supervisor’s recommendation to the next grade.
Supervisory status
No
Security clearance
Not Required
Drug test
No
Position sensitivity and risk
High Risk (HR)
Trust determination process
Announcement number
DH-22-OIG-CTO-69
Control number
671827000

This job is open to

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Clarification from the agency

This position is being filled through Direct Hire Authority. Traditional rating and ranking of applications does NOT apply. Veteran's preference does not apply.

Duties

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  1. Expertise in the installation, configuration, administration and maintenance (i.e., backup, restore, delete data, transaction log files, etc.) of Enterprise level databases in a Nutanix virtual environment running Red Hat Linux and / or Windows operating systems. (SQL Server, Oracle, DB2, Sybase and PostgreSQL).
  2. Expertise in administering SAS in both Windows and Red Hat Linux environment. Experience should include database administration, data mining and analytics (DM&A),with emphasis on administration, development, maintenance, and customer support Experience and knowledge utilizing programming/query languages such as JAVA, R, Python, Anaconda, SQL, C/C++/C#, SAS and customized programming scripts in the performance of DM&A.
  3. Advanced Knowledge of database management systems using UNIX, Linux, SQL, Microsoft SQL Server, DB2, Sybase, and Oracle, including database development and business intelligence tools, such as TOAD, T-SQL, SQL Report Services, Power-BI, and SAS.
  4. Expertise in assessing database management systems software and maintaining information exchanges with publish, subscribe, and functions that enable users to send and receive critical information as required. Manages the compilation, cataloging, caching, distribution, and retrieval of data. Monitors and maintains databases to ensure optimal performance. Performs backup and recovery of databases to ensure data integrity
  5. Expertise in conducting queries and developing algorithms to analyze data structures. Experience in optimizing database performance; Advanced knowledge of data mining and analytics (DM&A) techniques and tools; such as R, Python and customized programming scripts in the performance of DM&A.
  • No Permanent Change of Station funds (PCS) will be offered.
  • Relocation Incentive will not be offered.
  • This position is outside the bargaining unit.
  • This position will not be filled until the Department's Placement Assistance Programs have been fully utilized.

Requirements

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Conditions of employment

  • Must be at least 16 years old and a U.S. Citizen.
  • Requires a valid drivers license.
  • Requires a probationary period if the requirement has not been met.
  • Appointment to this position may require a background investigation.

Applicants must meet all legal and regulatory requirements. Reference the "Required Documents" section for additional requirements.

Notification Concerning COVID-19 Vaccinations.  As required by Executive Order 14043, Federal executive branch employees are required to be fully vaccinated against COVID-19 regardless of the employee's duty location or work arrangement (e.g., telework, remote work, etc.), subject to such exceptions as required by law.  If selected, you will be required to be vaccinated against COVID-19 and to submit documentation of proof of vaccination or to be in the process of requesting an exception to the vaccination requirement before appointment or onboarding with the agency.  The agency will provide additional information regarding which forms of documentation can be accepted and how you can request to be considered for a legally required exception from this requirement.  

Currently, implementation and enforcement of Executive Order 14043 has been suspended pursuant to an injunction pending further litigation.

Qualifications

At the GS-13 grade level applicants must have 52 weeks of specialized experience equivalent to at least the next lower grade level, GS-12, in the Federal Service.

Specialized experience may include but is not limited to database administration, data mining and analytics (DM&A), SQL Query Language.  Experience in these specialized areas with emphasis on administration, development, maintenance, and customer support. Experience and knowledge of data mining and analytics (DM&A) techniques that includes heavy reliance on obtaining access to heterogeneous information systems; state-of-the art programming languages such as JAVA, R, Python, Anaconda, SQL, C++, SAS and/or customized programming scripts; and design and development of new data requirements to discovery and solve known business problems and/or demonstrate patterns, trends, relationships and anomalies of particular interest or concern; take statistical and computational analyses and turns these into graphs, charts, and animations; create static and dynamic visualizations such as motion charts, digital maps and word maps that clearly show insights from data and corresponding analytics.

At the GS-14 grade level applicants must have 52 weeks of specialized experience equivalent to at least the next lower grade level, GS-13, in the Federal Service.

Specialized experience may include but is not limited to database administration, data mining and analytics (DM&A), SQL Query Language. Experience in these specialized areas with emphasis on administration, development, maintenance, and customer support. Evidence of a sound technical background and experience in the development and administration of various databases such as: SQL Server, Oracle, DB2, Sybase and PostgreSQL; installation, configuration and administration of business intelligence tools: SAS, SQL Report Services, MS Power BI and experience working in a Nutanix virtual environment are required. On the job experience such as proficiency in the management of complex database projects that involve stakeholders from multiple agencies; experience and knowledge in creating and communicating database design documentation to senior management; experience and knowledge determining the appropriate software packages and computer programming scripts to use in accessing and exporting data from multiple sources into correctly configured data stores for DM&A use; experience and knowledge utilizing programming/query languages such as JAVA, R, Python, Anaconda, SQL, C/C++/C#, SAS and customized programming scripts in the performance of DM&A.; and troubleshooting advanced technical problems of a complex or unknown nature with escalation to a vendor when it is appropriate or necessary.

Education

There is no substitution of education for the required specialized experience at the GS-13 or 14 level.

Additional information

Persons who are deaf, hard of hearing, blind, or have speech disabilities, please dial 711 to access telecommunications relay services.

DOL seeks to attract and retain a high-performing and diverse workforce in which employees' differences are respected and valued to better meet the varying needs of the diverse customers we serve. DOL fosters a diverse and inclusive work environment that promotes collaboration, flexibility, and fairness so that all individuals are able to participate and contribute to their full potential.

Refer to these links for more information: GENERAL INFORMATION, ADDITIONAL DOCUMENTATION, FORMER FEDERAL EMPLOYEES

Position Telework eligibility is determined by management based on position duties during the recruitment process. Employee participation in telework on a routine or situational basis is determined by management primarily based on business needs.  Employees participating in telework are subject to the terms and conditions of the Department of Labor’s Telework Program.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

Please review evaluations details here.

Attention to Detail - Is thorough when performing work and conscientious about attending to detail.

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.

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.

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

Data Management - Knowledge of the principles, procedures, and tools of data management such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes.

Self-Management - Sets well-defined and realistic personal goals; displays a high level of initiative, effort, and commitment towards completing assignments in a timely manner; works with minimal supervision; is motivated to achieve; demonstrates responsible behavior.


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