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Entry Level Data Engineering Jobs in Conroe, TX (NOW HIRING)

SynergenX

Junior Data Engineer

Houston, TX · On-site

$110K - $125K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Houston, TX

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AECOM

Entry Level Transit Engineer

Houston, TX · On-site

Conducts engineering design under the supervision of an experienced engineer. * Creates designs ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

Techwave

Field Engineering Assistant

Houston, TX · On-site

... seeking an Entry-Level Field Engineering Assistant in Houston, TX to support outside plant (OSP) telecom projects. The role involves assisting with field data collection, site walks, as-built ...

Sogeti

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... Quality Engineering * Insights & Data From your first day, you could be contributing to real client ...

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Entry Level Data Engineering information

See Conroe, TX salary details

$9

$17

$26

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

As of Jul 16, 2026, the average hourly pay for entry level data engineering in Conroe, TX is $17.33, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $18.75 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

While most entry-level data engineering roles do not reach $500,000 annually, senior data engineers with extensive experience, specialized skills in big data tools, and leadership responsibilities can earn this level of compensation, often through a combination of salary, bonuses, and stock options in large tech companies or startups.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency but do not eliminate the core responsibilities of data engineering roles.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level position.

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

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Which is the hardest field in it?

In entry-level data engineering, the most challenging aspects often involve mastering complex data pipelines, understanding distributed systems, and working with large-scale databases. Developing proficiency in tools like SQL, Python, and cloud platforms such as AWS or Azure can also be demanding for newcomers. Building strong problem-solving skills and gaining certifications can help overcome these challenges.
What are the most commonly searched types of Data Engineering jobs in Conroe, TX? The most popular types of Data Engineering jobs in Conroe, TX are:
What are popular job titles related to Entry Level Data Engineering jobs in Conroe, TX? For Entry Level Data Engineering jobs in Conroe, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Conroe, TX look for? The top searched job categories for Entry Level Data Engineering jobs in Conroe, TX are:
What cities near Conroe, TX are hiring for Entry Level Data Engineering jobs? Cities near Conroe, TX with the most Entry Level Data Engineering job openings:
Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Conroe, TX as of July 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $36,042 per year, or $17.3 per hour.

Junior Data Engineer

SynergenX Health Holdings LLC

Houston, TX • On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

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 BringRequired 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***

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