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Entry Level Data Architect Jobs in Texas (NOW HIRING)

Junior Data Engineer

Houston, TX ยท On-site

$110K - $125K/yr

Document technical processes, workflows, and data architecture. * Participate in Agile planning ... Why This Opportunity? This is more than an entry-level Data Engineering position-it's an ...

... data architecture development and database management skills to optimize data solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... data architecture development and database management skills to optimize data solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... data architecture development and database management skills to optimize data solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... data architecture development and database management skills to optimize data solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... data architecture development and database management skills to optimize data solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Architect information

See Texas salary details

$10

$65

$87

How much do entry level data architect jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for entry level data architect in Texas is $65.20, according to ZipRecruiter salary data. Most workers in this role earn between $57.12 and $73.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Data Architect position, and why are they important?

To thrive as an Entry Level Data Architect, you need foundational knowledge in database design, data modeling, and SQL, often supported by a degree in computer science, information systems, or a related field. Familiarity with database platforms like SQL Server, Oracle, or MySQL, and experience with data integration tools or introductory certifications (such as Microsoft Certified: Azure Data Fundamentals) are typically valuable. Strong analytical thinking, effective communication, and a willingness to collaborate make candidates stand out in this role. These skills and qualities are crucial for translating business requirements into sound data structures and working efficiently within project teams.

How do I become a data architect?

To become a data architect, you typically need a bachelor's degree in computer science, information systems, or a related field, along with experience in database management, data modeling, and data warehousing. Developing skills in SQL, cloud platforms, and data governance, as well as obtaining certifications like Certified Data Management Professional (CDMP), can enhance your qualifications. Gaining hands-on experience through internships or entry-level roles is also important for building expertise in designing and managing data systems.

What is an Entry Level Data Architect job?

An Entry Level Data Architect is responsible for assisting in the design, development, and management of an organization's data infrastructure. They work with senior data architects and engineers to create efficient database structures, ensure data quality, and support data integration processes. This role involves using database technologies, data modeling techniques, and programming languages to optimize data storage and retrieval. Entry-level data architects often collaborate with IT teams to maintain data security and governance. It is a foundational role that provides experience in database design, big data technologies, and cloud-based data solutions.

What are the typical daily responsibilities of an Entry Level Data Architect?

As an Entry Level Data Architect, you can expect to spend your days assisting in the design and implementation of database solutions, creating and maintaining data models, and supporting data integration efforts. You'll often work closely with senior architects, software engineers, and business analysts to understand project requirements and ensure data structures align with organizational needs. Daily tasks may include writing SQL queries, documenting data flows, and helping troubleshoot data quality or integrity issues. This collaborative and technical environment provides valuable hands-on experience and forms a strong foundation for advancing to more senior data architecture roles.

Can AI replace data architect?

AI cannot fully replace a data architect, as the role requires designing complex data systems, understanding business needs, and making strategic decisions that involve human judgment. While AI tools can assist with data modeling, automation, and data management tasks, the expertise and oversight of a data architect are essential for effective data infrastructure development and governance.

Are there entry-level jobs at data centers?

Entry-level data architect roles at data centers are uncommon, as data centers typically hire for technical support, maintenance, or operations positions. However, related entry-level roles such as data technician or support analyst may be available, often requiring basic knowledge of networking, hardware, and data management tools.

Are data architects in demand?

Data architects are in high demand due to the increasing need for organizations to manage large volumes of data effectively. They design and implement data systems, often requiring skills in database management, cloud platforms, and data modeling, making their expertise valuable across many industries.
What are the most commonly searched types of Data Architect jobs in Texas? The most popular types of Data Architect jobs in Texas are:
What cities in Texas are hiring for Entry Level Data Architect jobs? Cities in Texas with the most Entry Level Data Architect job openings:
Infographic showing various Entry Level Data Architect job openings in Texas as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $135,608 per year, or $65.2 per hour.

Junior Data Engineer

SynergenX

Houston, TX โ€ข On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Junior Data Engineer
SynergenX Health
Houston, TX 77070
Salary: $110,000-$125,000 annually
Job Type: Full-Time | Exempt
Schedule: Monday-Friday | 8:00 AM - 5:00 PM
Work Location: 100% Onsite - Northwest Houston Corporate Headquarters
Launch Your Data Engineering Career with a Growing Healthcare Leader
At SynergenX Health, technology and data are at the heart of how we improve patient care and drive business decisions. As one of the nation's leading hormone optimization and wellness organizations, we're investing in a modern Azure-based data platform to support our continued growth.
We're looking for a motivated Junior Data Engineer with 2-3 years of professional experience who is eager to expand their technical skills while contributing to enterprise-scale data solutions. This is an outstanding opportunity to work alongside experienced data professionals, gain hands-on experience with cloud technologies, and help build the future of healthcare analytics.
This position works directly with our Data Engineering team and business stakeholders and requires daily onsite collaboration at our Corporate Headquarters in Northwest Houston.
What You'll Do
  • Develop and maintain enterprise ETL/ELT data pipelines.
  • Write, optimize, and troubleshoot SQL queries and stored procedures.
  • Support enterprise data integration across multiple business systems.
  • Build and maintain Power BI datasets and reporting solutions.
  • Monitor scheduled data jobs and resolve data quality issues.
  • Assist with Azure Data Factory data pipelines and cloud-based data solutions.
  • Support Azure SQL databases and data warehouse initiatives.
  • Develop basic automation using Python.
  • Assist with API integrations and data imports.
  • Document technical processes, workflows, and data architecture.
  • Participate in Agile planning, testing, and code reviews.
  • Collaborate with senior engineers on enterprise data initiatives.
  • Continuously develop new technical skills and stay current with Microsoft Azure technologies.
What You'll Bring
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline.
  • 2-3 years of professional Data Engineering or SQL Development experience.
  • Experience writing SQL queries and stored procedures.
  • Experience supporting or developing ETL/ELT data pipelines.
  • Experience with Microsoft SQL Server.
  • Working knowledge of Python.
  • Experience with Microsoft Power BI.
  • Exposure to Microsoft Azure technologies such as Azure Data Factory, Azure SQL Database, or Azure Storage.
  • Understanding of relational database concepts and data modeling fundamentals.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written English communication skills with the ability to collaborate effectively across technical and business teams.
Ideal Technical Stack
Candidates should have experience with many of the following technologies:
Databases
  • Microsoft SQL Server
  • Azure SQL Database
  • SQL Query Development
  • Stored Procedures
  • Query Optimization
Data Engineering
  • Azure Data Factory
  • ETL / ELT Development
  • Data Integration
  • Data Validation
  • Data Warehousing Fundamentals
Programming
  • SQL
  • Python
  • REST APIs
  • JSON
Business Intelligence
  • Microsoft Power BI
  • Power Query
  • Basic DAX
Cloud
  • Microsoft Azure
  • Azure Storage
Version Control
  • Git
  • Azure DevOps (Preferred)
Preferred Experience
  • Healthcare data
  • Enterprise reporting
  • Data governance concepts
  • Azure Synapse Analytics (Exposure)
  • Azure Databricks (Exposure)
Why Join SynergenX?
  • Competitive salary: $110,000-$125,000
  • Medical, Dental, and Vision Insurance
  • 401(k) with Company Match
  • Paid Time Off and Paid Holidays
  • Company-Paid Life Insurance
  • Short & Long-Term Disability
  • Employee Assistance Program
  • Professional development opportunities
  • Stable, rapidly growing healthcare organization
  • Exposure to enterprise Azure technologies
  • Opportunity to learn from experienced Data Engineers and technical leadership
Work Environment
This is a 100% onsite position located at our Corporate Headquarters in Houston, Texas (77070).
Candidates must be able to work onsite Monday through Friday beginning on their first day of employment.
Local Houston-area candidates who can reliably commute to our Northwest Houston office are strongly preferred.
Employment Requirements
  • Must be legally authorized to work in the United States.
  • SynergenX Health is unable to provide current or future employment visa sponsorship for this position.
  • Successful completion of all pre-employment screening requirements.
  • Occasional travel may be required.
Why This Opportunity?
This is more than an entry-level Data Engineering position-it's an opportunity to build a long-term career with a company investing heavily in its technology future. You'll gain hands-on experience with enterprise Azure data platforms, collaborate with experienced engineers, and work on projects that directly support executive decision-making and improve patient care across a nationwide healthcare organization.
If you're passionate about data, enjoy solving technical challenges, and are ready to grow your career with a collaborative team, we'd love to hear from you.
Equal Employment Opportunity
SynergenX Health is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and making employment decisions based on qualifications, merit, and business needs. We consider all qualified applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable federal, state, or local law.
***Please do not email the company or company representatives directly. Applications must be submitted here in order to be considered***