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Dsa Jobs in Texas (NOW HIRING)

Strong DSA and system design knowledge * Distributed systems experience * Cloud computing (AWS) expertise * Version control (Git) * CI/CD pipeline experience * Database management * Problem-solving ...

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Dsa information

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$9

$53

$77

How much do dsa jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for dsa in Texas is $53.10, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $61.83 per hour, depending on experience, location, and employer.

What are data structures and algorithms (DSA)?

DSA stands for Data Structures and Algorithms. Data structures are ways of organizing and storing data efficiently, such as arrays, linked lists, trees, and graphs. Algorithms are step-by-step procedures or formulas for solving problems, like searching and sorting techniques. Mastery of DSA is crucial for computer programming, software development, and technical interviews because it enables efficient problem-solving and optimization of code.

What are some common challenges faced by data structures and algorithms (DSA) professionals in a software engineering team?

Professionals specializing in Data Structures and Algorithms often encounter challenges such as optimizing code for both time and space complexity while meeting project deadlines. They are frequently tasked with solving complex problems that require deep analytical thinking and collaboration with other developers, product managers, and QA teams. Balancing the need for elegant, efficient solutions with the practicality of maintainable code can also be demanding. Additionally, staying updated with evolving best practices and integrating new algorithmic approaches into existing codebases is an ongoing part of the role.

What are the key skills and qualifications needed to thrive as a data science analyst, and why are they important?

To thrive as a Data Science Analyst, you need strong analytical skills, a background in statistics or mathematics, and proficiency in data analysis supported by a relevant degree. Familiarity with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, are commonly used. Excellent problem-solving, communication, and critical thinking skills help you translate complex data insights into actionable business recommendations. These skills are essential for making data-driven decisions that drive organizational growth and efficiency.

What is the difference between Dsa vs Data Analyst?

AspectDsaData Analyst
Required CredentialsTypically requires coding skills, data structures, algorithms, and sometimes certifications in data science or programmingOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentPrimarily technical, involving coding, data manipulation, and algorithm developmentMore analytical, involving data interpretation, reporting, and visualization
Employer & Industry UsageUsed in tech companies, startups, and organizations focusing on software development and data engineeringCommon across finance, marketing, healthcare, and business sectors for data-driven decision making

While both Dsa and Data Analyst roles involve working with data, Dsa focuses more on algorithms, coding, and technical problem-solving, whereas Data Analysts concentrate on interpreting data and creating reports. The roles often overlap in data handling but differ in skill emphasis and daily tasks.

What is a DSA job?

A DSA job typically refers to a role involving Data Structures and Algorithms, often in software development or technical interview preparation. It requires strong problem-solving skills, coding proficiency, and knowledge of programming languages like Java, Python, or C++. These roles may involve coding assessments, technical interviews, and working on algorithmic challenges.

What skills are needed to be a DSA?

A Data Structures and Algorithms (DSA) role requires strong problem-solving skills, proficiency in programming languages like Python, Java, or C++, and a solid understanding of data structures such as arrays, linked lists, trees, and graphs. Analytical thinking, algorithm design, and familiarity with coding platforms are also important for success in this field.

What are popular job titles related to Dsa jobs in Texas?

For Dsa jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Dsa jobs in Texas look for?

The top searched job categories for Dsa jobs in Texas are:

What cities in Texas are hiring for Dsa jobs?

Cities in Texas with the most Dsa job openings:

Infographic showing various Dsa job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 66% In-person, 7% Hybrid, and 27% Remote job distribution, with an average salary of $110,446 per year, or $53.1 per hour.

Post-Quantum Security Project Manager

iSphere Innovation Partners, LLC

Houston, TX โ€ข Hybrid

$62 - $80.25/hr

Full-time

Posted 28 days ago


Job description

Enterprise Post-Quantum Cryptography Architect

Houston, Texas | Hybrid | Ongoing Opportunity

iSphere is looking for an experienced Enterprise Post-Quantum Cryptography Architect to lead the development of an enterprise-wide quantum-readiness strategy for a Houston-based organization. This is a hybrid position, and candidates must currently live in the Houston area.

This is not a quantum computing research role. We need a senior security architect who understands how cryptography is used across a large enterprise and can create a practical plan for protecting sensitive systems and data as quantum-computing risks continue to develop.

The selected architect will assess the organization’s current cryptographic environment, identify exposure to “Harvest Now, Decrypt Later” risks, and build a multi-year roadmap for moving from RSA and ECC technologies to NIST-approved Post-Quantum Cryptography standards. This will include developing a Cryptographic Bill of Materials and evaluating PKI, certificates, HSMs, key management, IAM, VPNs, TLS, cloud platforms, applications, and data-protection technologies.

This person will also design a crypto-agile enterprise architecture that allows cryptographic algorithms and technologies to be replaced without requiring major system redesigns. The architect will work closely with infrastructure, cloud, networking, security, development, legal, procurement, vendors, and executive leadership to prioritize risks and guide enterprise-wide modernization efforts.

The role will include evaluating vendor readiness, leading proof-of-concept implementations, documenting architecture decisions, and presenting risks, recommendations, and migration strategies to senior leadership.

Candidates should have:

• 10 or more years of experience in enterprise security architecture, cybersecurity, or infrastructure architecture

• At least 5 years of hands-on experience with enterprise cryptography, PKI, digital certificates, certificate lifecycle management, key management systems, and Hardware Security Modules

• Strong experience with TLS, VPNs, Identity and Access Management, and enterprise security architecture

• Knowledge of NIST Post-Quantum Cryptography standards and crypto-agility principles

• Experience developing enterprise security roadmaps and leading large-scale technology transformations

• The ability to explain highly technical security risks and recommendations to executive and nontechnical audiences

Experience with NIST FIPS 203 (ML-KEM), FIPS 204 (ML-DSA), FIPS 205 (SLH-DSA), or hybrid cryptographic implementations is strongly preferred. Cloud security experience with Azure, AWS, or GCP and experience working within financial services, healthcare, energy, government, defense, or critical infrastructure environments would also be valuable.

Certifications such as CISSP, ISSAP, CCSP, CISM, CRISC, SABSA, or TOGAF are preferred but not required.

The ideal candidate is a strategic security architect who combines deep enterprise cryptography expertise with the ability to turn emerging security threats into realistic business priorities, architecture decisions, and executable migration plans.