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Data Protection Jobs in Austin, TX (NOW HIRING)

Future Secure AI

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

Deloitte

Cyber Full Stack Manager

Austin, TX · On-site

You will help clients address complex challenges across digital trust, online protection, privacy, artificial intelligence governance, and data protection by translating business and regulatory ...

Deloitte

Cyber Full Stack Senior Consultant

Austin, TX · On-site

You will help clients address complex challenges across digital trust, online protection, privacy, artificial intelligence governance, and data protection by translating business and regulatory ...

DSC Resources, Inc.

Oncology Patient Navigator

Austin, TX · On-site

$150 - $250/hr

... data protection and consent requirements. • Conduct structured, trust-building patient interviews to collect relevant indication data and educate patients on clinical trial processes. • Perform a ...

Allied Fire Protection

Fire Protection Engineer

Austin, TX · On-site

$82K - $111K/yr

Allied Fire Protection is seeking a Fire Protection Engineer with a minimum of 5 years of ... Data centers and mission-critical facilities * Industrial and manufacturing facilities with ...

Allied Fire Protection

Fire Protection Engineer

Austin, TX · On-site

$82K - $111K/yr

Allied Fire Protection is seeking a Fire Protection Engineer with a minimum of 5 years of ... Data centers and mission-critical facilities * Industrial and manufacturing facilities with ...

Allied Fire Protection

Fire Protection Engineer

Austin, TX · On-site

$82K - $111K/yr

Allied Fire Protection is seeking a Fire Protection Engineer with a minimum of 5 years of ... Data centers and mission-critical facilities * Industrial and manufacturing facilities with ...

Allied Fire Protection

Fire Protection Engineer

Austin, TX · On-site

$82K - $111K/yr

Allied Fire Protection is seeking a Fire Protection Engineer with a minimum of 5 years of ... Data centers and mission-critical facilities * Industrial and manufacturing facilities with ...

Allied Fire Protection

Fire Protection Engineer

Austin, TX · On-site

$82K - $111K/yr

Allied Fire Protection is seeking a Fire Protection Engineer with a minimum of 5 years of ... Data centers and mission-critical facilities * Industrial and manufacturing facilities with ...

Prosperity

Senior Systems Engineer

Austin, TX · On-site

$100K - $147K/yr

Design, implement, and maintain data protection strategies, including backup policies, replication, and retention management * Own disaster recovery planning, testing, and execution to ensure ...

Prosperity Life Group

Senior Systems Engineer

Austin, TX · On-site

$103K - $141K/yr

Design, implement, and maintain data protection strategies, including backup policies, replication, and retention management * Own disaster recovery planning, testing, and execution to ensure ...

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Showing results 21-40

All JobsData Protection JobsData Protection Jobs in Austin, TX

Data Protection information

See Austin, TX salary details

$23.1K

$107K

$211.9K

How much do data protection jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data protection in Austin, TX is $107,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,155.00 and $140,800.00 per year, depending on experience, location, and employer.

What is a data protection officer?

Data protection officers (DPOs) are professionals responsible for ensuring that an organization complies with data protection laws and regulations, such as the GDPR in Europe. Their duties typically include advising on data protection obligations, monitoring internal compliance, conducting data protection impact assessments, and serving as a point of contact for supervisory authorities and individuals whose data is processed. DPOs play a crucial role in safeguarding sensitive information and helping organizations build trust with customers and stakeholders by managing data responsibly.

How does a data protection professional typically collaborate with other departments to ensure compliance?

Data Protection professionals work closely with various departments such as IT, Legal, HR, and Operations to implement and monitor data privacy protocols. They often lead training sessions, advise on best practices, and help integrate data protection requirements into business processes. Regular communication and collaboration are essential, as they must ensure that all teams understand their responsibilities regarding sensitive data. This cross-functional teamwork helps maintain company-wide compliance and mitigates risks associated with data breaches.

What are the key skills and qualifications needed to thrive in data protection, and why are they important?

To thrive in Data Protection, a strong understanding of data privacy laws, risk management, and information security—often supported by relevant degrees or certifications like CIPP or CISSP—is essential. Familiarity with data loss prevention (DLP) tools, encryption technologies, and compliance management systems is typically required. Excellent analytical thinking, attention to detail, and effective communication skills help professionals identify risks and educate stakeholders. These abilities ensure organizations maintain regulatory compliance, protect sensitive information, and build trust with clients and partners.

What is the difference between Data Protection vs Data Privacy Officer?

AspectData ProtectionData Privacy Officer
Primary FocusImplementing technical and organizational measures to secure dataEnsuring compliance with privacy laws and policies
CertificationsISO 27001, CISSP, CISMCIPP, CIPM, CIPT
Work EnvironmentIT departments, security teamsLegal, compliance, and policy teams
Industry UsageAcross sectors with data security needsPrimarily in organizations handling personal data

While both roles focus on data, Data Protection emphasizes securing data through technical measures, whereas Data Privacy Officers focus on legal compliance and policy adherence related to personal data. Understanding these distinctions helps organizations assign the right responsibilities and certifications for each role.

How to start a career in data protection?

To start a career in data protection, gain knowledge of cybersecurity principles, data privacy laws, and risk management. Obtain relevant certifications such as Certified Information Privacy Professional (CIPP) or CompTIA Security+ and develop skills in data security tools and practices. Entry-level roles often require a bachelor's degree in computer science, information technology, or related fields.

Is data protection a stressful job?

Data protection roles can be stressful due to the responsibility of safeguarding sensitive information and ensuring compliance with regulations. The job often involves managing complex security protocols, responding to security incidents, and staying updated on evolving threats, which can contribute to work pressure. However, workload and stress levels vary depending on the organization and specific role.

What is a data protection job?

A data protection job involves safeguarding sensitive information from unauthorized access, breaches, and cyber threats. Professionals in this field often work with security policies, encryption tools, and compliance standards to ensure data privacy and integrity within organizations.

What skills are needed for data protection jobs?

Data protection jobs require strong knowledge of cybersecurity principles, data privacy laws, and risk management. Skills in network security, encryption, and familiarity with security tools and protocols are essential, along with attention to detail and problem-solving abilities. Certifications like CISSP or CISM can enhance qualifications.

What are popular job titles related to Data Protection jobs in Austin, TX?

For Data Protection jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Data Protection jobs in Austin, TX look for?

The top searched job categories for Data Protection jobs in Austin, TX are:

What cities near Austin, TX are hiring for Data Protection jobs?

Cities near Austin, TX with the most Data Protection job openings:

Data Protection jobs near you
Infographic showing various Data Protection job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $107,041 per year, or $51.5 per hour.

AI Engineer, Data Science

Austin, TX • On-site

Future Secure AI
See more jobs at Future Secure AIexternal

$113K - $136K/yr

Full-time

Re-posted 29 days ago

Key responsibilities

  • Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users

  • Analyse complex, large-scale structured and unstructured datasets to uncover insights and opportunities

  • Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance

Job description

About the Company
At Future Secure AI, we're building something genuinely new - and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall - they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
As a Senior AI Engineer - Data Science, you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine learning systems-particularly LLM-driven solutions-that solve high-value, real-world problems for enterprise clients.
You'll be part of a culture that prizes technical excellence, creativity, and continuous learning. Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our approach to responsible and scalable AI.
Your work will directly contribute to AI systems that have the potential to transform industries-and society.
Responsibilities
  • Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users
  • Analyse complex, large-scale structured and unstructured datasets to uncover insights and opportunities
  • Enhance LLM output quality across diverse use cases, including optimisation of multi-step reasoning chains
  • Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance
  • Influence long-term data and AI strategy, including governance, ethical AI, and scalable frameworks
  • Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production-ready solutions
  • Mentor and uplift junior data scientists, setting standards for excellence

Minimum Qualifications
  • Bachelor's Degree in Mathematics, Statistics, Computer Science or a related field
  • 5+ years of experience as a Data Scientist with hands-on experience and a track record of delivering impactful ML and AI outcomes
  • Experience within the AI sector
  • Experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
  • Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi-agent frameworks, GPT-based systems)
  • Python experience focused on machine learning and NLP
  • Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders
  • Empathy, humility, and a growth mindset-open to feedback and committed to collaboration
  • Comfort working in an agile, fast-evolving environment

Preferred Qualifications
  • Masters Degree or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related field
  • Knowledge of other software languages in addition to Python

Why Join Us?
  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

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