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Entry Level Data Engineering Jobs in Richardson, TX

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

Data Engineer I

Farmers Branch, TX

$110K - $132K/yr

... an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering knowledge and exercises ...

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

... an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering knowledge and exercises ...

Associate Data Engineer 2027

Dallas, TX · On-site

$113K - $136K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of generative models. ABOUT ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

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Entry Level Data Engineering information

See Richardson, TX salary details

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

As of Aug 21, 2026, the average hourly pay for entry level data engineering in Richardson, TX is $18.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.86 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

What are the key skills and qualifications needed to thrive as an entry level data engineer?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Are entry level data engineers still in demand?

Entry level data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are valuable for these roles, which often offer strong job growth prospects.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

What are the most commonly searched types of Data Engineering jobs in Richardson, TX?

The most popular types of Data Engineering jobs in Richardson, TX are:

What are popular job titles related to Entry Level Data Engineering jobs in Richardson, TX?

For Entry Level Data Engineering jobs in Richardson, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Engineering jobs in Richardson, TX look for?

The top searched job categories for Entry Level Data Engineering jobs in Richardson, TX are:

What cities near Richardson, TX are hiring for Entry Level Data Engineering jobs?

Cities near Richardson, TX with the most Entry Level Data Engineering job openings:

Infographic showing various Entry Level Data Engineering job openings in Richardson, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $38,231 per year, or $18.4 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.