What is Technical Data?
Technical data refers to both scientific and technical nature and information recorded and presented in any form other than financial and management information but includes manuals and instructional materials, as well as technical data formatted as a computer database.
How is Technical Data used?
Zippia reviewed thousands of resumes to understand how technical data is used in different jobs. Explore the list of common job responsibilities related to technical data below:
- Checked aircraft forms to insure all maintenance required and documentation was accomplished in accordance with technical data.
- Enforced strict adherence to technical data, safety practices, environmental, and management procedures.
- Enforced Air Force Instructions and technical data compliance.
- Enforced strict adherence to safety and technical data.
- Monitored maintenance practice by conducting quality inspection verifications of technical data usage.
- Utilized applicable technical data to analyze malfunctions and ensure proper operation of system components.
Are Technical Data skills in demand?
Yes, technical data skills are in demand today. Currently, 7,767 job openings list technical data skills as a requirement. The job descriptions that most frequently include technical data skills are flight information expediter, aircraft inspector, and engine repair supervisor.
How hard is it to learn Technical Data?
Based on the average complexity level of the jobs that use technical data the most: flight information expediter, aircraft inspector, and engine repair supervisor. The complexity level of these jobs is basic.
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What jobs can you get with Technical Data skills?
You can get a job as a flight information expediter, aircraft inspector, and engine repair supervisor with technical data skills. After analyzing resumes and job postings, we identified these as the most common job titles for candidates with technical data skills.
Flight Information Expediter
- Technical Data
- Unscheduled Maintenance
- Maintenance Tasks
- Flight Line Maintenance
- Maintenance Data
- Support Equipment
Aircraft Inspector
Job description:
An aircraft inspector oversees all pre-flight inspections. They are part of the maintenance team in airports or in any aircraft hangar with regular flights. They are responsible for ensuring that all safety protocols are observed and making sure that all parts of the aircraft are in working order. An aircraft inspector must issue repair requests as needed, produce reports on inspected aircraft's status, and provide recommendations to further improve an aircraft's safety.
- Airframe
- Technical Data
- Hand Tools
- Aircraft Systems
- Aircraft Maintenance
- Maintenance Manuals
Engine Repair Supervisor
- Aerospace
- FAA
- Technical Support
- Technical Data
- Technical Guidance
- Engineering Drawings
Aircraft Painter Apprentice
- Support Equipment
- Aircraft Maintenance
- Technical Data
- Troubleshoot
- Maintenance Manuals
- Landing Gear
Aircraft Engine Specialist
- Test Equipment
- Technical Data
- Fighter
- Technical Orders
- Airframe
- FAA
Engineering Aide
Job description:
An engineering aide is responsible for assisting the engineering operations by finalizing construction and manufacturing designs, inspecting tools and equipment, and assembling model components according to schematics and blueprints. Engineering aides manage setting-up procedures and conduct quality checks to the outputs, ensuring its efficiency and adherence to internal regulations and business requirements. They also coordinate with clients for progress updates and plan adjustments. An engineering aide writes cost reports, troubleshoots defective equipment, and operate complex technical systems.
- PowerPoint
- Technical Data
- Test Equipment
- Test Results
- Technical Support
- Engineering Drawings
Provisioning Analyst
- Provisioning
- Engineering Drawings
- Logistics
- Technical Data
- Technical Documentation
- Customer Support
Aerospace Mechanic
- Hand Tools
- Test Equipment
- Hazardous Materials
- Technical Data
- Rivet
- Technical Publications
Nuclear Weapons Specialist
- DOD
- Combat
- Troubleshoot
- Technical Data
- CPR
- Secret Security Clearance
Systems Mechanic
Job description:
A systems mechanic specializes in repairing and maintaining systems, ensuring machines operate smoothly and efficiently. Although the extent of their responsibilities varies upon their company or place of employment, it typically includes meeting with clients to identify their needs, inspecting machinery, troubleshooting problems, replacing and fixing wirings, and recommending other services when necessary. They may also install and assemble equipment, establish guidelines, and replenish fluid such as oil and gas. Moreover, there are instances when a systems mechanic works in a team setting, which requires an active communication line for a safe and successful workflow.
- Hand Tools
- Test Equipment
- Preventive Maintenance
- Hydraulic Systems
- Technical Data
- Support Equipment
Engine Mechanic
Job description:
Engine mechanics are skilled professionals who are responsible for inspecting, servicing, and repairing power equipment with an engine such as vehicles, motorcycles, or outdoor power equipment. These mechanics are required to test and inspect engines for any malfunctioning parts as well as repair or replace those defective parts. They must perform routine engine maintenance work such as lubricating parts and replacing spark plugs. Engine mechanics must also discuss issues related to the equipment to customers as well as the amount of work performed on the repairs.
- Diagnosis
- Hydraulic Systems
- Hand Tools
- Test Equipment
- Technical Data
- Electrical Systems
How much can you earn with Technical Data skills?
You can earn up to $84,295 a year with technical data skills if you become a flight information expediter, the highest-paying job that requires technical data skills. Aircraft inspectors can earn the second-highest salary among jobs that use Python, $41,517 a year.
| Job title | Average salary | Hourly rate |
|---|---|---|
| Flight Information Expediter | $84,295 | $41 |
| Aircraft Inspector | $41,517 | $20 |
| Engine Repair Supervisor | $67,577 | $32 |
| Aircraft Painter Apprentice | $46,993 | $23 |
| Aircraft Engine Specialist | $38,619 | $19 |
Companies using Technical Data in 2026
The top companies that look for employees with technical data skills are U.S. Department of the Treasury, MedPro Healthcare Staffing, and G.A.F. Seelig. In the millions of job postings we reviewed, these companies mention technical data skills most frequently.
| Rank | Company | % of all skills | Job openings |
|---|---|---|---|
| 1 | U.S. Department of the Treasury | 14% | 19 |
| 2 | MedPro Healthcare Staffing | 12% | 4,543 |
| 3 | G.A.F. Seelig | 7% | 147 |
| 4 | Black & Veatch | 7% | 1,868 |
| 5 | Deloitte | 6% | 22,516 |
3 courses for Technical Data skills
1. Data Engineer Technical Interview Preparation
While some companies consider the Data Engineer role to be a subcategory of the Software Development Engineer role, topics covered in Data Engineer technical interviews differ from those covered in Software Development Engineer interviews. This course focuses on those you will most likely encounter during your Data Engineer interview. Data Engineering interviews grew by 40% in 2020 and Data Engineering in general is one of the fastest growing job role. These numbers will likely continue to grow as companies invest in data-driven solutions. What you'll learnIn this course, you will learn how to prepare for the Data Engineer technical interview at FAANG companies. The lectures will guide you through the concepts you should focus on as a Data Engineer and provide you with practice problems after each topic to test your understanding. The course will cover the following topics: Problem Sense, Data Modeling, and Coding. The coding practice problem solutions will be written in SQL and Python. You will practice classic coding problems as well as how to handle batch and streaming data for ETL related interview rounds/questions. The course will conclude with general tips to remember throughout your interview process. Are there any course requirements or prerequisites?There is no prerequisites for this course, however any work experience as a Data Engineer will be helpful. Who this course is for: Students and professionals striving to land a Data Engineer position at a FAANG company...
2. Essential Non Technical Skills of Effective Data Scientists
Most data science training focuses only on key technologies like Python, R, ML etc. But real-world data science jobs require more than just technical acumen. As IT professionals rush to upgrade their current skill-set and become career ready in the field of data science, most of them forget the other part of skill development - Non-technical skills. These skills won't require as much technical training or formal certification, but they're foundational to the rigorous application of data science to business problems. Even the most technically skilled data scientist needs to have these soft skills to thrive today. This easy to follow course is created for recent Data Science graduates, beginners, new hires, Working Data Professionals, or any employee looking to boost their skills at the office and in the global workplace. I am sure these will help you to develop effective work habits that will help you succeed at your job, create a healthy work/life balance, and have a better understanding of your own personal strengths and how you work best. These nontechnical skills can help you convert your first data science job into a successful, lifelong career. By the end of this course you will be able to: Develop some crucial Non Technical skills, professional presence, and confidence in the workplace. Become a more effective communicator in the work environment. Ask better questions and increase your ability to come up with more and better ideas around how to effectively use data in any project. Evaluate your personal strengths (and weakness), and understand how those are best used at the individual and team levels when working in any Data Science Project. Create clear, specific, and actionable goals to improve your confidence at workplace. These Non Technical skills are those skills that get you hired, keep you focused, and help you survive and integrate into your global workplace community. Practicing and developing these skills will help separate you from the crowd of job applicants and scientists as the field grows. A Verifiable Certificate of Completion is presented to all students who undertake this course...
3. CCIE Data Center (v3.0) - Technical Classes
Exam Description: The Cisco CCIE Data Center (v3.0) PracticalExam is an eight-hour, hands-on exam that requires a candidate to plan, design, deploy, operate, and optimize complex Data Center networks. Candidates are expected to program and automate the network within their exam, as per exam topics below. The following topics are general guidelines for the content likely to be included on the exam. Your knowledge, skills and abilities on these topics will be tested throughout the entire network lifecycle, unless explicitly specified otherwise within this document. The exam is closed book and no outside reference materials are allowed.1. Data Center L2/L3 Connectivity (20%)1.1 Layer 2 technologies1.1. a Link Aggregation 1.1. a i vPC 1.1. a ii PortChannel1.1. b Tagging/Trunking1.1. c Static Path binding1.1. d Spanning Tree Protocol1.1. d i PVST1.1. d ii MST1.2 Routing Protocols and features1.2. a OSPF (v2 and v3)1.2. a i Authentication1.2. a ii Adjacencies1.2. a iii Network types and Area Types1.2. a iv LSA Types1.2. a v Route Aggregation/Summarization1.2. a vi Route Redistribution1.2. b ISIS1.2. b i Adjacencies1.2. b. i.1. Single area, single topology1.2. b ii Network types, Levels and Router types1.2. b. ii.1. NSAP addressing1.2. b. ii.2. Point-to-point, broadcast1.2. c BGP1.2. c i Path Selection1.2. c ii External and Internal Peering1.2. c iii Route reflectors and Route Server1.2. c iv Peer Templates 1.2. c v Multi-Hop EBGP1.2. c vi Route Aggregation/Summarization1.2. c vii Route Redistribution1.2. d BFD1.2. e FHRP1.3 Multicast protocols1.3. a PIM1.3. a i Sparse Mode1.3. a ii BiDir1.3. a iii Static RP, BSR, AutoRP, PhantomRP1.3. a iv IPv4 PIM Anycast1.3. a v IPv4 Anycast RP using MSDP1.3. b IGMP1.3. b i IGMPv2, IGMPv31.3. b ii IGMP Snooping1.3. b iii IGMP Querier2. Data Center Fabric Infrastructure (15%)2.1 Physical fabric components2.1. a Fabric Discovery2.1. b Controllers/Network Managers2.1. c Switches2.2 Fabric policies2.2. a Access Policies2.2. b Multi Tenancy2.2. c Monitoring Policies2.3 Tenant Policies2.3. a Application profiles and EPGs2.3. b Networking2.3. c Security2.4 Fabric Monitoring2.4. a Faults2.4. b Events2.4. c Health indicators2.4. d Audit Logs2.5 Virtual Networking2.5. a vSphere VDS3. Data Center Fabric Connectivity (15%)3.1 VRF lite3.2 L3Out 3.2. a OSPF 3.2. a i Authentication3.2. a ii Adjacencies3.2. a iii Network types and Area Types3.2. a iv Route Redistribution3.2. b BGP3.2. b i AS manipulation3.2. b ii External and Internal Peering3.2. b iii Route reflectors3.2. b iv Route Redistribution3.2. c Transit Routing3.3 Inter Fabric connectivity3.3. a Multi-Pod3.3. b Multi-Site3.3. c Virtual POD3.3. d remote Leaf3.4 Overlays3.4. a VXLAN EVPN4. Data Center Compute (15%)4.1 Compute Resources4.1. a UCSM Policies, Profiles and Templates4.1. b Hyperflex4.2 Compute Connectivity4.2. a SAN/LAN uplinks4.2. b Rack server integration4.2. c Port Modes5. Data Center Storage Protocols and Features (10%)5.1 FC and FCoE5.1. a Zoning5.1. b NPV/NPIV5.1. c Trunking5.1. d Portchannel5.1. e Load Balancing5.2 iSCSI5.2. a Authentication5.2. b Multipathing5.3 RoCE v2 over IP Networks6. Data Center Security and Network Services (10%)6.1 Security features6.1. a ACL's6.1. b First Hop Security6.1. c Port security6.1. d Private VLANs6.1. e Contracts6.2 RBAC6.2. a Radius6.2. b TACACS+6.2. c LDAP6.2. d AAA6.3 Network Services Insertion and Redirection 6.3. a Policy Based Routing6.3. b Policy Based Redirection6.3. c Inter VRF communication6.3. d Route Targets6.3. e Prefix Lists6.4 Services6.4. a Flow/Telemetry Export6.4. b SPAN6.4. c SNMP6.4. d Syslog 6.4. e DHCP6.4. f NTP/PTP6.5 Traffic management6.5. a Queueing6.5. b Policing6.5. c Classification/Marking6.5. d Scheduling6.5. e CoPP7. Data Center Automation and Orchestration (15%)7.1 Data center tasks using scripts (Python and Ansible)7.1. a Create, Read, Update, Delete using RESTful APIs7.1. b Deploy and modify configurations 7.1. c Statistics, Data Collection7.2 Data Center Automation and Orchestration using tools7.2. a DCNM 7.2. b UCSD7.2. b i Tasks...