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Data Engineer Entry Level Jobs (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 ...

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Controls Engineer (Entry Level)

Chicago, IL · On-site

$82K - $94K/yr

Entry Level Position: College Graduate - 2 years experience This role will require 40-50%+ travel ... Provide our clients with real-time data, and actionable information about their facilities

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Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

AI Data Engineer

Provo, UT · On-site

Salary: $50,000 to $90,000 AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

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All JobsData Engineer JobsData Engineer Entry Level Jobs

Data Engineer Entry Level information

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$44.5K

$129.7K

$177.5K

How much do data engineer entry level jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data engineer entry level in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

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

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

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

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

More about Data Engineer Entry Level jobs
What cities are hiring for Data Engineer Entry Level jobs? Cities with the most Data Engineer Entry Level job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Data Engineer Entry Level jobs? States with the most job openings for Data Engineer Entry Level jobs include:
What job categories do people searching Data Engineer Entry Level jobs look for? The top searched job categories for Data Engineer Entry Level jobs are:
Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 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 12 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 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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