Data Operations Specialist

Data Operations Specialist Work Role ID: 624 (NIST: N/A) Workforce Element: Data/AI

Builds, manages, and operationalizes data pipelines.


Items denoted by a * are CORE KSATs for every Work Role, while other CORE KSATs vary by Work Role.

Core KSATs

KSAT ID Description KSAT
22

* Knowledge of computer networking concepts and protocols, and network security methodologies.

Knowledge
28

Knowledge of data administration and data standardization policies and standards.

Knowledge
31

Knowledge of data mining and data warehousing principles.

Knowledge
104

Knowledge of query languages such as SQL (structured query language).

Knowledge
108

* Knowledge of risk management processes (e.g., methods for assessing and mitigating risk).

Knowledge
179B

Skill in establishing data security controls.

Skill
186

Skill in developing data dictionaries.

Skill
400A

Implement data management standards, requirements, and specifications.

Task
520B

Develop and implement data mining and data warehousing programs.

Task
543

Develop secure code and error handling.

Task
702

Manage the compilation, cataloging, caching, distribution, and retrieval of data.

Task
764

Perform secure programming and identify potential flaws in codes to mitigate vulnerabilities.

Task
858B

Record and manage test data.

Task
1128

Knowledge of Java-based database access application programming interface (API) (e.g., Java Database Connectivity [JDBC]).

Knowledge
1128A

Knowledge of database access application programming interfaces (APIs) (e.g., Java Database Connectivity [JDBC]).

Knowledge
1157

* Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity.

Knowledge
1158

* Knowledge of cybersecurity principles.

Knowledge
1159

* Knowledge of cyber threats and vulnerabilities.

Knowledge
3722

Skill in data mining techniques (e.g., searching file systems) and analysis.

Skill
5550

Program custom algorithms.

Task
5841

Advise higher level leadership on critical data management issues.

Task
5844

Apply data acquisition, cleaning, transformation, and ingestion best practices for machine learning data conduits.

Task
5846

Assess and address the limitations of methods to deliver data.

Task
5850

Assist integrated project teams to identify, curate, and manage data.

Task
5852

Build automated data management conduits.

Task
5857

Comply with data classification and handling requirements through access control and security best practices.

Task
5899

Manipulate and clean large, disparate datasets for bulk analysis to identify connections.

Task
6060

Ability to collect, verify, and validate test data.

Ability
6300

Knowledge of how to utilize Hadoop, Java, Python, SQL, Hive, and PIG to explore data.

Knowledge
6470

Read, interpret, write, modify, and execute simple scripts (e.g., PERL, VBS) on Windows and UNIX systems (e.g., those that perform tasks such as: parsing large data files, automating manual tasks, and fetching/processing remote data).

Task
6520

Skill in data pre-processing (e.g., imputation, dimensionality reduction, normalization, transformation, extraction, filtering, smoothing).

Skill
6610

Skill in performing format conversions to create a standard representation of the data.

Skill
6690

Skill in transformation analytics (e.g., aggregation, enrichment, processing).

Skill
6730

Skill in using data mapping tools.

Skill
6760

Skill in writing scripts using R, Python, PIG, HIVE, SQL, etc.

Skill
6900

* Knowledge of specific operational impacts of cybersecurity lapses.

Knowledge
6935

* Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).

Knowledge
6938

* Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments.

Knowledge
7017

Knowledge of data operations (DataOps) processes and best practices.

Knowledge
7019

Knowledge of data security roles and responsibilities.

Knowledge
7029

Knowledge of how to collect, store, and monitor data.

Knowledge
7062

Skill in developing and maintaining automation scripts.

Skill
7066

Skill in identifying data acquisition, collection, and curation risks.

Skill

Additional KSATs

KSAT ID Description KSAT
520A

Implement data mining and data warehousing applications.

Task
942

Knowledge of the organization’s core business/mission processes.

Knowledge
1034A

Knowledge of Personally Identifiable Information (PII) data security standards.

Knowledge
1034C

Knowledge of Personal Health Information (PHI) data security standards.

Knowledge
5854

Collaborate with appropriate personnel to address Personal Health Information (PHI), Personally Identifiable Information (PII), and other data privacy and data resusability concerns for AI solutions.

Task
5896

Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.

Task
7010

Knowledge of container orchestration and resource management platforms.

Knowledge
7020

Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).

Knowledge
7025

Knowledge of how AI solutions integrate with cloud or other IT infrastructure.

Knowledge
7028

Knowledge of how to automate development, testing, security, and deployment of AI/machine learning-enabled software to the DoD.

Knowledge
7036

Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.

Knowledge