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Full Time Pcap Certification Python Jobs in Texas

Adidev Technologies Inc

DevOps Engineer

Austin, TX

$52.25 - $71.50/hr

S cripting skills in Python or Bash. * M onitoring and observability implementation. * N etworking ... certification opportunities * C ollaborative engineering culture Employment Type: FULL_TIME

Adidev Technologies Inc

DevOps Engineer

Dallas, TX

$52.25 - $71.50/hr

S cripting skills in Python or Bash. * M onitoring and observability implementation. * N etworking ... certification opportunities * C ollaborative engineering culture Employment Type: FULL_TIME

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Full Time Pcap Certification Python information

What are the key skills and qualifications needed to thrive as a Full-Time PCAP Certified Python Developer, and why are they important?

To thrive as a Full-Time PCAP Certified Python Developer, you need a strong grasp of Python programming fundamentals, data structures, and problem-solving skills, ideally validated by a PCAP (Certified Associate in Python Programming) certification. Familiarity with code versioning tools like Git, development environments such as PyCharm or VS Code, and knowledge of testing frameworks and REST APIs are typically required. Strong analytical thinking, effective communication, and teamwork abilities help developers stand out in collaborative and fast-paced settings. These skills ensure efficient code development, seamless integration with team workflows, and the ability to deliver high-quality software solutions.

Are Python still in demand in 2026?

Python remains highly in demand for roles like Full Time PCAP Certification Python, as it is widely used in cybersecurity, automation, data analysis, and machine learning. Its versatility and extensive libraries ensure continued relevance in the job market through 2026 and beyond.

What is a Full Time PCAP Certification Python job?

A Full Time PCAP Certification Python job typically refers to a professional position where having the PCAP (Certified Associate in Python Programming) certification is required or highly valued. PCAP is an industry-recognized credential that demonstrates proficiency in Python programming fundamentals, including basic coding, data structures, object-oriented programming, and problem-solving skills. In a full-time role, employees with this certification are often responsible for developing, testing, and maintaining Python-based applications, scripts, or systems. Employers seek candidates with PCAP certification to ensure they have a solid foundation in Python, which is widely used for web development, automation, data analysis, and more.

What is the difference between Full Time Pcap Certification Python vs Network Security Analyst?

AspectFull Time Pcap Certification PythonNetwork Security Analyst
CertificationsPCAP, Python programming skillsSecurity certifications like CISSP, CEH
Work EnvironmentNetworking labs, cybersecurity teams, software developmentSecurity operations centers, IT departments
Industry UsageNetwork troubleshooting, scripting, cybersecurity toolsThreat analysis, security monitoring, incident response

Full Time Pcap Certification Python focuses on network packet analysis and Python scripting, essential for cybersecurity and network troubleshooting. In contrast, a Network Security Analyst specializes in protecting systems from threats, often requiring broader security certifications. Both roles are vital in cybersecurity but differ in scope and daily tasks.

Is PCAP certification worth it?

For a Full Time PCAP Certification Python role, obtaining the PCAP certification demonstrates proficiency in Python programming and network packet analysis, which can enhance job prospects and credibility. It is valued by employers seeking candidates with validated skills in cybersecurity, scripting, and network analysis tools.

What jobs can I get with PCAP?

A PCAP (Certified Associate in Python Programming) certification can qualify you for roles such as Python developer, automation engineer, cybersecurity analyst, or network technician. These jobs often require knowledge of Python scripting, network protocols, and security concepts, and may involve tasks like scripting, automation, or network analysis.

What is the highest paying job in Python?

The highest paying jobs in Python typically include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, which require advanced skills in data analysis, algorithms, and frameworks like TensorFlow or PyTorch. These positions often offer six-figure salaries, especially with experience and relevant certifications like the PCAP or advanced degrees. Salary levels depend on industry, location, and expertise, but Python proficiency is highly valued in these high-paying roles.

How does working in a Full Time PCAP (Python Certified Associate Programmer) role support professional development and advancement in the Python programming field?

A Full Time PCAP-certified Python role offers valuable hands-on experience with real-world Python projects, often involving problem-solving, code optimization, and collaboration with software development teams. You'll frequently engage in writing, testing, and maintaining Python code while learning best practices from more experienced colleagues. This environment fosters continuous learning and skill refinement, laying a strong foundation for advancement to more specialized roles such as Python Developer, Data Analyst, or Software Engineer. Additionally, being part of a collaborative team structure provides networking opportunities and mentorship, which are instrumental for long-term career growth in the tech industry.
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Principal IT Data Analyst

Principal IT Data Analyst

Fidelity Investments

Westlake, TX • On-site

Full-time

Posted 13 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

Job description


Position Description:
Evaluates and validates impacts to data models and datasets and breaks down large initiatives into manageable deliverables following Agile methodologies using Jira and Jira Align. Analyzes, profiles, and transforms datasets to generate actionable insights using SQL and Python. Builds and maintains enterprise data lakes and cloud data platforms using Snowflake. Designs, develops, and maintains dashboards and analytical reports in Tableau and Power BI. Translates data into meaningful insights for stakeholders. Automates business processes using Camunda Modeler and Microsoft Power Platform (Power Automate and Power Apps) to improve operational efficiency and data workflows. Leverages Application Programming Interfaces (APIs) to support data integration, system interoperability, and cross platform data exchange. Gathers and translates business requirements into scalable, high quality data solutions by defining clear use cases, simplifying technical concepts, and developing comprehensive user stories.
Primary Responsibilities:
  • Collaborates with business partners, and engineering and product teams to convert business requirements into conceptual data models and complex SQL queries.
  • Analyzes large, complex datasets to uncover trends, patterns, and insights that inform business decisions.
  • Communicates findings effectively to both technical and non-technical stakeholders.
  • Documents and understands data lineage from source to consumption, ensuring transparency and traceability.
  • Collaborates cross-functionally to support data-driven decision-making across the organization.
  • Conducts complex projects and participates in Agile project delivery, taking ownership of deliverables and driving progress through incremental development.
  • Develops and implements techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
  • Applies data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
  • Visualizes, interprets, and reports data findings.
  • Analyzes, manipulates, and processes large sets of data using statistical software.
  • Cleans and manipulates raw data using statistical software.
  • Identifies business problems or management objectives that can be addressed through data analysis.
  • Analyzes data to inform operational decisions or activities.
  • Determines appropriate methods for data analysis.
  • Prepares analytical reports.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Technology Management, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal IT Data Analyst (or closely related occupation) translating complex financial data into actionable business insights in a financial services environment.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Technology Management, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal IT Data Analyst (or a closely related occupation) translating complex financial data into actionable business insights in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") designing and developing data services across the data lifecycle using Power Designer, Collibra, Snowflake, Amazon Web Services (AWS), Teradata, BigQuery, Python, and Oracle; and developing data workflows using python and SQL.
  • DE designing and implementing data models to map and consolidate information from multiple enterprise databases; ensuring scalability and adherence to best practices-- using Power Designer to generate data models, using Collibra to define data glossary terms and lineage; and using Visio to create dataflow and system diagrams.
  • DE analyzing and profiling large-scale data sets comprising 300 to 450M data features to detect trends and generate statistics and patterns, using SQL across the data lifecycle; designing, implementing and validating data movement; and performing data consumption using visualization tools (Power BI and Tableau).
  • DE identifying matching platforms and their respective referential matching and entity resolution approaches using Verato and Reltio.

#PE1M2
#LI-DNI
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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