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Seasonal Entry Level Data Engineering Jobs (NOW HIRING)

Synergie Systems

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Job Title: Entry Level Data Engineer Location: Dallas, TX Job Type: Only W2 We are looking for an ... Use Python to automate data-processing and engineering tasks. Perform data validation, quality ...

New

Four Hands

Entry level Data Engineer - New Grad

Austin, TX · Hybrid

$113K - $136K/yr

As an Entry Level Data Engineer, you'll help build and support the data pipelines, integrations ... This is an opportunity to develop your technical skills, learn modern data engineering practices ...

Ookla

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Description The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed ...

Ookla

Data Engineer

Denver, CO · On-site

$85K - $125K/yr

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed internet ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Description Position at Ookla The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile ...

Ookla

Data Engineer

Denver, CO

$85K - $125K/yr

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed internet ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Description Position at Ookla The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile ...

University of Florida

Data Engineer I

Gainesville, FL · On-site

$65K - $78K/yr

Computer Science, Information Technology, Engineering Department: 14400000 - IT-DATA PLATFORM ... This entry-level role, under direct supervision, entails close collaboration with customers ...

Four Hands

Entry level Data Engineer - New Grad

Austin, TX · Hybrid

$113K - $136K/yr

As an Entry Level Data Engineer, you'll help build and support the data pipelines, integrations ... This is an opportunity to develop your technical skills, learn modern data engineering practices ...

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Seasonal Entry Level Data Engineering information

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$26

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

As of Aug 21, 2026, the average hourly pay for seasonal entry level data engineering in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

What is the difference between Seasonal Entry Level Data Engineering vs Data Analyst?

AspectSeasonal Entry Level Data EngineeringData Analyst
Required CredentialsBasic knowledge of SQL, Python, or similar; often no formal certification neededProficiency in SQL, Excel, and data visualization tools; may have certifications in analytics
Work EnvironmentData engineering teams, tech companies, or IT departments; project-based seasonal rolesBusiness departments, consulting firms, or finance; focus on data interpretation
Employer & Industry UsageUsed in tech, finance, retail for short-term data infrastructure projectsCommon across industries for reporting, insights, and decision-making

Seasonal Entry Level Data Engineering roles focus on building and maintaining data pipelines, often requiring basic technical skills. Data Analysts interpret data to provide insights, emphasizing analysis and visualization. While both roles involve working with data, their core responsibilities and skill sets differ, with data engineering being more technical and infrastructure-oriented, and data analysis centered on interpreting data for business decisions.

Can I get a seasonal entry level data engineering job with no experience?

Securing a seasonal entry-level data engineering position without experience can be challenging, as these roles typically require familiarity with tools like SQL, Python, or cloud platforms. However, candidates with relevant coursework, certifications, or internships may improve their chances, especially if they demonstrate a strong willingness to learn and foundational technical skills.
More about Seasonal Entry Level Data Engineering jobs

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What are the most commonly searched types of Seasonal Data Engineering jobs?

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What states have the most Seasonal Entry Level Data Engineering jobs?

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Seasonal Entry Level Data Engineering jobs near you
Infographic showing various Seasonal Entry Level Data Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.

Entry Level Data Engineer

Synergie Systems

Dallas, TX • On-site

$113K - $136K/yr

Other

Posted yesterday

New

Job description

Job Title: Entry Level Data Engineer

Location: Dallas, TX

Job Type: Only W2

Job Description:

We are looking for an enthusiastic and detail-oriented Entry-Level Data Engineer to join our data team. You will work with experienced data engineers and analysts to build, maintain, and improve data pipelines and data infrastructure.

This is a great opportunity for someone who has a strong foundation in SQL and Python and wants to develop their career in data engineering.

Responsibilities:

Develop and maintain ETL/ELT data pipelines.

Extract, transform, and load data from databases, APIs, files, and other sources.

Write and optimize SQL queries for data processing and analysis.

Use Python to automate data-processing and engineering tasks.

Perform data validation, quality checks, and troubleshooting.

Work with relational and cloud databases.

Assist in building and maintaining data warehouses and data lakes.

Monitor data pipelines and investigate data-quality or pipeline issues.

Collaborate with Data Analysts, Data Scientists, Software Engineers, and other stakeholders.

Document data pipelines, processes, and technical solutions.

Follow best practices for data security, reliability, and scalability.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Engineering, Data Science, or a related field, or equivalent practical experience.

Strong knowledge of SQL.

Basic to intermediate Python programming skills.

Understanding of relational databases and database concepts.

Basic understanding of ETL/ELT concepts and data pipelines.

Familiarity with Git/version control.

Good problem-solving and analytical skills.

Strong communication and willingness to learn.

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