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Seasonal Entry Level Data Engineering Jobs (NOW HIRING)

SynergisticIT

Entry Level Python Developer

$51.50 - $71/hr

Data Scientist Opportunity At SynergisticIT, we aim to bring aboard IT professionals to help them ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

SynergisticIT

Python Developer (Entry Level)

$51.50 - $71/hr

Data Scientist Opportunity At SynergisticIT, we aim to bring aboard IT professionals to help them ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

SynergisticIT

Entry Level Python Developer

Dallas, TX · On-site

$50 - $68.75/hr

Data Scientist Opportunity At SynergisticIT At SynergisticIT, we aim to bring aboard IT ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

SynergisticIT

Entry Level Python Developer

$51.50 - $71/hr

Data Scientist Opportunity At SynergisticIT At SynergisticIT, we aim to bring aboard IT ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern ...

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern ...

The ACI Group

Jr. Healthcare Data Analyst

Easton, MD · On-site

Description We are seeking an entry level Data Analyst to join our client's team supporting various ... Minimum of 2 years of hands-on SAS or other statistical programming work experience, or ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... Engineering, and senior executives) to rapidly execute and iterate Noting anomaly detection and ...

Falconwood, Inc.

M365 Platform Developer

Suffolk, VA · On-site

$105K - $115K/yr

Responsibilities This entry-level data science role supports the development of analytical tools ... Collaborate with engineering and analytics teams to turn analytical insights into production-ready ...

Falconwood, Inc.

M365 Platform Developer

Suffolk, VA · On-site

$105K - $115K/yr

Responsibilities This entry-level data science role supports the development of analytical tools ... Collaborate with engineering and analytics teams to turn analytical insights into production-ready ...

Falconwood, Inc.

M365 Platform Developer

Suffolk, VA

$105K - $115K/yr

This entry-level data science role supports the development of analytical tools and workflows that ... Collaborate with engineering and analytics teams to turn analytical insights into production-ready ...

SynergisticIT

Entry Level UI Developer

Miami, FL · On-site

$47.75 - $62.25/hr

Data Scientist Opportunity At SynergisticIT At SynergisticIT, we aim to bring aboard IT ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

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Seasonal Entry Level Data Engineering information

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$10

$19

$26

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

As of Jul 7, 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.

More about Seasonal Entry Level Data Engineering jobs
What cities are hiring for Seasonal Entry Level Data Engineering jobs? Cities with the most Seasonal Entry Level Data Engineering job openings:
What are the most commonly searched types of Seasonal Data Engineering jobs? The most popular types of Seasonal Data Engineering jobs are:
What states have the most Seasonal Entry Level Data Engineering jobs? States with the most job openings for Seasonal Entry Level Data Engineering jobs include:
What job categories do people searching Seasonal Entry Level Data Engineering jobs look for? The top searched job categories for Seasonal Entry Level Data Engineering jobs are:
Seasonal Entry Level Data Engineering jobs near you
Infographic showing various Seasonal Entry Level Data Engineering 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 $39,629 per year, or $19.1 per hour.
Associate Data Engineer - Client Innovation Center (Entry Level)

Associate Data Engineer - Client Innovation Center (Entry Level)

IBM

Lansing, MI • On-site

$14.50 - $19/hr

Full-time

Posted 28 days ago

IBM rating

7.9

Company rating: 7.9 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

105th of 202 rated software companies

Job description

Job Summary:
IBM Consulting Client Innovation Centers (CICs) are environments where technologists build real solutions for clients. The Associate Data Engineer role is entry-level, focusing on supporting the development and maintenance of data pipelines and platforms while collaborating with experienced practitioners.
Responsibilities:
• Support the development and maintenance of data pipelines used for analytics, reporting, and machine learning
• Assist with extracting, transforming, and loading (ETL/ELT) data from multiple sources into data platforms
• Contribute to data cleansing, validation, and transformation activities using Python and SQL
• Help prepare datasets for downstream consumption by analytics and data science teams
• Support batch and, where applicable, near-real-time data processing workflows under guidance
• Collaborate with data engineers, data scientists, and other team members in Agile delivery environments
• Build data engineering skills through training, mentorship, and hands-on delivery experience
• Work with functional and technical team members to help integrate data solutions into client business environments
Qualifications:
Required:
• Strong foundation in computer science fundamentals, including data structures and algorithms
• Strong analytical and problem-solving skills with attention to data quality and reliability
• Comfortable working onsite in a collaborative, team-based environment
• Ability to work effectively in a technology-driven consulting environment where tools, platforms, and client needs evolve over time
• Strong analytical and problem-solving skills, with the ability to approach complex tasks using structured, logical thinking
• Ability to learn new systems and technologies quickly and apply them in a delivery setting
• Proficiency in Python (preferred) or another programming language used for data processing
• Hands-on experience using data manipulation tools such as pandas, NumPy, and SQL, gained through coursework, labs, projects, or internships
• Ability to write clear, maintainable code for data transformation and processing tasks
• Understanding of ETL/ELT concepts and how data moves from source systems to consumption layers
• Familiarity with relational databases and SQL for querying and data manipulation
• Basic understanding of data modeling concepts such as schemas, normalization, or dimensional models
• Exposure to cloud-based data or analytics platforms (e.g., AWS, Azure, or Google Cloud) through coursework, labs, or projects
• Familiarity with core cloud data services such as object storage, databases, or analytics services
• Ability to translate business or functional requirements into technical solutions, with guidance from senior team members
• Comfortable working onsite in a collaborative, team-based environment
• Strong willingness to learn, accept feedback, and continuously improve
• Familiarity with generative AI concepts, including basic modeling approaches, responsible use, and ethical considerations, gained through coursework, projects, or self-study
Preferred:
• Master's Degree
• Exposure to distributed data processing tools such as Apache Spark or PySpark
• Familiarity with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery)
• Exposure to streaming or event-based data concepts
• Familiarity with version control tools such as Git
• Basic awareness of how data engineering supports machine learning workflows
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.

What IBM employees say

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Benefits

Hours and flexibility

Workplace

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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