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Full Stack Data Analyst Developer Jobs in Texas (NOW HIRING)

Promantus, Inc

Full Stack Data Engineer

Plano, TX · On-site

Data Engineer Location: Plano, TX Duration: Long Term Key Responsibilities: * Architect & Develop: Design high-performance, scalable backend services using the Python stack and have a good ...

campus4tech

Data Analyst/Developer

Grand Prairie, TX · On-site

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days' per week Duration: Long-Term Contract W2 candidates, no C2C or Third Party Vendors What type of ...

Staffingine LLC

full stack developer

Coppell, TX · On-site

Looking for a strong full stack developer with experience in developing angular based data heavy ... Experience in SQL , PL SQL functions on large scale Transactional and Analytical database systems ...

ClinDCast

Python Full Stack Developer

Addison, TX · On-site

Hiring: Python Full Stack Developer Dallas, TX (Onsite) W2 Only We are looking for a highly ... data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application ...

Trellix

Full Stack Developer

Frisco, TX · On-site

... intelligence, automation, and analytics to empower over 53,000 customers with responsibly ... Requires Bachelors in Computer Science, Data Science and Machine Learning, Distributed Systems ...

New

Next Step Systems

Full Stack Developer

Houston, TX · On-site

Houston TX Jobs, Full Stack Developer, Java, Spring Framework, Angular, Oracle, MSSQL, Agile, Software Engineer, Software Developer, Programming, Programmer Analyst, Texas Recruiters, Information ...

Staffingine LLC

Full Stack Developer

Austin, TX · On-site

Job Title: Sr. Full stack Developer Job Location: Austin, Texas Job Type: Contract * Architect and ... Collaborate with product managers data engineers data analysts data scientists and other ...

TEKFORTUNE INC

Full Stack Developer

Austin, TX · On-site

They are seeking a Full Stack Developer to design, build, and maintain full-stack features across ... Data teams to translate ideas into impactful solutions, demonstrating ownership from concept to ...

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Full Stack Data Analyst Developer information

What is a full stack data analyst developer?

A Full Stack Data Analyst Developer is a professional skilled in both data analysis and software development across the entire technology stack. They handle tasks ranging from data collection and cleaning, to building analytical models, and developing applications or dashboards to visualize and interact with data. This role requires proficiency in programming languages, data visualization tools, databases, and analytical techniques. Full Stack Data Analyst Developers are valued for their ability to bridge the gap between data science and software engineering, delivering end-to-end data-driven solutions.

How does a full stack data analyst developer typically collaborate with cross-functional teams on data-driven projects?

Full Stack Data Analyst Developers often work closely with data scientists, business analysts, product managers, and software engineers to deliver end-to-end data solutions. They are responsible for gathering requirements, designing data models, building data pipelines, and developing user-facing dashboards or applications. Effective communication and a collaborative mindset are essential, as the role involves translating business needs into technical solutions and ensuring data integrity throughout the process. Regular meetings, code reviews, and agile methodologies are common practices to align efforts and achieve project goals.

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

To thrive as a Full Stack Data Analyst Developer, you need strong analytical skills, proficiency in programming languages like Python or JavaScript, and a solid understanding of both front-end and back-end development, often supported by a degree in computer science, statistics, or related fields. Familiarity with databases (SQL/NoSQL), data visualization tools (such as Tableau or Power BI), and experience with frameworks like React or Django are typically required. Strong problem-solving abilities, effective communication, and adaptability set exceptional professionals apart in this role. These skills are vital for delivering comprehensive, data-driven solutions that bridge technical, analytical, and business needs.

What are popular job titles related to Full Stack Data Analyst Developer jobs in Texas?

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What job categories do people searching Full Stack Data Analyst Developer jobs in Texas look for?

The top searched job categories for Full Stack Data Analyst Developer jobs in Texas are:

What cities in Texas are hiring for Full Stack Data Analyst Developer jobs?

Cities in Texas with the most Full Stack Data Analyst Developer job openings:

Full Stack Data Analyst Developer jobs near you

Full Stack Data Engineer

Plano, TX • On-site

Promantus, Inc
11 - 50 employees
Learn more about Promantus, Incexternal

Other

Re-posted 10 days ago

Job description

Role: Data Engineer 
Location: Plano, TX
Duration: Long Term 

Key Responsibilities: 

  • Architect & Develop: Design high-performance, scalable backend services using the Python stack and have a good understanding of Java 17+ and Spring Boot for migration projects.
  • Data Integration: Build and maintain complex data pipelines and integration layers connecting our services to Databricks.
  • Security First: Implement rigorous authentication and authorization patterns using OAuth2, OIDC in Python.
  • AI Tooling: Develop backend frameworks that enable Agentic AI—creating tools, APIs, and "skills" that LLM-based agents can autonomously invoke.
  • Data Persistence: Optimize database interactions and schema designs using Python packages, and can understand existing flows of Spring Data JPA/Hibernate.
  • Hybrid Engineering: Use Python as the primary language and support, convert legacy Java code into Python.

Required Qualifications

  • Experience: 3 to 5 years of professional experience in backend development.
  • Python Stacks: Good hands-on experience with Python Stack for building backends, APIs, or ingestion and data processing layer on Databricks.
  • The Spring Stack: Good experience of Spring Boot, Spring JPA, and Spring Security.
  • Modern Java: Deep understanding of functional programming in Java, multithreading, and JVM tuning to support existing code or migrate to Python.
  • Cloud Data Warehousing: Hands-on experience with Databricks.
  • The AI Edge: Proven exposure to or a deep project-based understanding of working with AI to code using existing Archetypes and rules with all guardrails
  • CI/CD - Working with GitHub Actions and workflows for CI/CD

Apply