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Entry Level Junior Data Engineer Jobs (NOW HIRING)

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 ...

Junior Data Engineer AMAT Atlanta, Georgia, United States Job ID: 526313 CRH's Americas Materials division is the leading integrated supplier of aggregates, asphalt, ready mixed concrete and paving ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that ...

Junior Data Engineer

Columbia, SC · On-site

$91K - $121K/yr

The Junior Data Engineer will support the development of scalable ETL/ELT pipelines, maintain data quality, and help deliver reliable datasets for downstream tools such as Power BI. This position ...

Junior Data Engineer

Murrieta, CA · On-site

$91K - $121K/yr

The Junior Data Engineer will support the development of scalable ETL/ELT pipelines, maintain data quality, and help deliver reliable datasets for downstream tools such as Power BI. This position ...

They are seeking a Junior Data Engineer to join their Information Technology team to support various data engineering tasks and projects that are crucial for the company's success. Responsibilities ...

Overview The Junior Data Engineer contributes to the design, development, and maintenance of data pipelines and data products that support trusted analytics and business insights. Working under the ...

Jr Data Engineer

Cincinnati, OH · On-site

$30 - $32/hr

... Junior Data Engineer to join their dynamic team in downtown Cincinnati. This entry-level position is ideal for candidates with up to 18 months of experience who are eager to develop their skills in ...

New

Junior Data Engineer

San Antonio, TX

$103K - $124K/yr

As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions that support real business needs. In this role, you will learn how to build and maintain data ...

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Entry Level Junior Data Engineer information

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$33.5K

$71.8K

$109.5K

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

As of Jul 30, 2026, the average yearly pay for entry level junior data engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What does an Entry Level Junior Data Engineer do?

An Entry Level Junior Data Engineer helps build and maintain the systems that collect, store, and process large amounts of data for a company. They typically assist in setting up data pipelines, cleaning and organizing raw data, and supporting more senior data engineers in managing databases and cloud storage solutions. Their work ensures that data is accessible, reliable, and ready for analysis by data scientists and analysts. Junior data engineers often use programming languages like Python or SQL and may work with big data tools such as Hadoop or Spark.

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

To thrive as an Entry Level Junior Data Engineer, you need a solid understanding of programming languages (such as Python or SQL), data modeling, and database systems, usually backed by a relevant degree or coursework. Familiarity with data warehousing tools, ETL pipelines, and platforms like AWS or Azure is commonly expected, along with experience using version control systems like Git. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with teams and handling data issues. These skills and qualities ensure data integrity, efficient workflow, and successful support of business intelligence initiatives.

What are some common challenges faced by Entry Level Junior Data Engineers when transitioning from academic projects to real-world data pipelines?

One common challenge for Entry Level Junior Data Engineers is adapting to the complexity and scale of real-world data systems, which often involve messy, incomplete, or inconsistent data from multiple sources. Unlike academic projects, production environments require strict attention to data quality, security, and efficient processing. Junior engineers may also need to learn how to work within established team workflows, use version control, and collaborate closely with data scientists, analysts, and senior engineers to support business objectives. Building strong communication skills and proactively asking for feedback can help overcome these initial hurdles and accelerate professional growth.
More about Entry Level Junior Data Engineer jobs
What cities are hiring for Entry Level Junior Data Engineer jobs? Cities with the most Entry Level Junior Data Engineer job openings:
What are the most commonly searched types of Junior Data Engineer jobs? The most popular types of Junior Data Engineer jobs are:
What job categories do people searching Entry Level Junior Data Engineer jobs look for? The top searched job categories for Entry Level Junior Data Engineer jobs are:
Infographic showing various Entry Level Junior Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Other

Posted 14 days ago


Job description

Position Overview:
We are currently seeking a highly motivated Junior Data Engineer to join a new, strategic data initiative. This role is specifically tailored for entry level candidates who possess foundational to intermediate experience in data engineering, with a strong emphasis on Snowflake. The successful candidate will work onsite in Secaucus, New Jersey, contributing to the development, optimization, and visualization of robust enterprise data solutions.

Key Responsibilities:
Design, develop, and maintain scalable data pipelines and data models utilizing Snowflake.
Write, optimize, and manage complex SQL queries for Extract, Transform, and Load (ETL) processes.
Collaborate with cross-functional teams and stakeholders to translate business requirements into technical data solutions.
Develop, configure, and maintain interactive dashboards and comprehensive data visualizations using Tableau and Power BI.
Monitor data quality, troubleshoot pipeline issues, and ensure the integrity, accuracy, and security of the data warehouse.
Participate in agile ceremonies, code reviews, and continuous improvement initiatives.

Required Qualifications:
Recent university graduate (Class of 2023, 2024, or 2025) with a degree in Computer Science, Information Technology, Data Science, or a closely related field.
6 months to 1 year of hands-on professional or intensive academic experience in Data Engineering, specifically utilizing Snowflake.
Strong proficiency in SQL and modern relational database concepts.
Demonstrated experience or comprehensive academic training in data visualization and business intelligence tools, specifically Tableau and Power BI.
Excellent analytical, problem-solving, and communication skills.