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

SynergenX

Junior Data Engineer

Houston, TX · On-site

$110K - $125K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related ... Why This Opportunity? This is more than an entry-level Data Engineering position-it's an ...

New

Hp

Tech Marketing & Performance Engineer

Spring, TX

$65K - $101K/yr

Support execution and validation of AI and data science workloads, including emerging use cases ... entry-level roles. * Exposure to Linux, operating systems, or systems programming preferred.

NABORS

ENGINEER I

Houston, TX

This is an entry level position responsible for basic engineering practices to support the ... data science and manufacturing, Nabors aims to innovate the future of energy and enable the ...

New

AECOM

Entry Level Transit Engineer

Houston, TX

... scientists, digital innovators, program and construction managers and other professionals ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

Nabors Industries Limited

ENGINEER I

Houston, TX · On-site

This is an entry level position responsible for basic engineering practices to support the ... data science and manufacturing, Nabors aims to innovate the future of energy and enable the ...

New

Pwc

IT Audit/Controls - Senior Associate

Houston, TX · On-site

$77K - $202K/yr

Accounting, Analytics/Data Science, Business Administration/Management, Computer Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Houston, TX · On-site

$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 ...

Sogeti

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

A bachelor's degree in Computer Science, Software Engineering, Data Analytics, Quality Engineering, Artificial Intelligence, or a related field. * Strong analytical and problem-solving abilities ...

Capgemini

Entry Level Technologist

Houston, TX · On-site

A bachelor-s degree in Computer Science, Software Engineering, Data Analytics, Quality Engineering, Artificial Intelligence, or a related field. * Strong analytical and problem-solving abilities ...

New

Sogeti

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

A bachelor's degree in Computer Science, Software Engineering, Data Analytics, Quality Engineering, Artificial Intelligence, or a related field. * Strong analytical and problem-solving abilities ...

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Entry Level Data Science information

See Conroe, TX salary details

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

As of Jul 13, 2026, the average hourly pay for entry level data science in Conroe, TX is $16.31, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $18.32 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Conroe, TX? The most popular types of Data Science jobs in Conroe, TX are:
What are popular job titles related to Entry Level Data Science jobs in Conroe, TX? For Entry Level Data Science jobs in Conroe, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Conroe, TX look for? The top searched job categories for Entry Level Data Science jobs in Conroe, TX are:
What cities near Conroe, TX are hiring for Entry Level Data Science jobs? Cities near Conroe, TX with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Conroe, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $33,928 per year, or $16.3 per hour.
Junior Data Engineer

Junior Data Engineer

SynergenX

Houston, TX • On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

New

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***

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