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Entry Level Data Engineering Jobs (NOW HIRING)

Job Title: Entry-Level Data AnalystLocation: RemoteExperience: 0-2 YearsNote: Applicants must be ... developers, testers, and other team members to make sure requirements are clearly understood. • ...

New

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

... programming and understanding of the software development life cycle Knowledge of Linear Algebra ... complex data problems Assess project requirements and develop data analysis algorithms Engage ...

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 ...

ExodusPoint is seeking an entry-level graduate to join the Data Engineering team in New York. This role will support the development of next-generation data solutions for our investment teams, which ...

Data Intern

New York, NY · On-site

$20 - $25/hr

ExodusPoint is seeking an entry-level graduate to join the Data Engineering team in New York. This role will support the development of next-generation data solutions for our investment teams, which ...

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 ...

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

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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Entry Level Data Engineering information

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

As of May 29, 2026, the average hourly pay for entry level data engineering in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is an Entry Level Data Engineering job?

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 are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

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.

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 cities are hiring for Entry Level Data Engineering jobs? Cities with the most Entry Level Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Entry Level Data Engineering jobs? States with the most job openings for Entry Level Data Engineering jobs include:
Infographic showing various Entry Level Data Engineering job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 72% Physical, 6% Hybrid, and 22% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.
NewForce Entry Level Data Analyst (2026)

NewForce Entry Level Data Analyst (2026)

Generation West Virginia

Charleston, WV

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

About Inspira Analytics

Inspira Analytics is a data consulting firm based in Charleston, WV, helping small to mid-sized businesses unlock the power of their data. From basic reporting to advanced visualization and forecasting, we make complex information simple and strategic. We serve a wide range of industries including healthcare, logistics, and retail-providing clean, clear, and customized analytics that meet our clients where they are. We are also passionate about workforce development in Appalachia. Our team includes local talent trained in modern analytics tools and techniques, and we invest heavily in early-career professionals through mentorship and hands-on learning.

Mission: To empower organizations with accessible, accurate, and actionable data insights that drive smarter decisions and sustainable growth. 

Vision: To be the most trusted partner in transforming raw data into meaningful intelligence-one insight at a time.

What we do:

  • Custom dashboards and reporting (Tableau, Power BI)
  • SQL and Python data pipelines
  • Data cleaning and integration
  • Data analytics training and upskilling
Job Summary

We are seeking a highly motivated and detail-oriented Junior Data Analyst to join our data-driven team. As a Junior Data Analyst, you will play a crucial role in supporting data-related activities within our organization. You will work closely with senior data analysts and other team members to collect, analyze, and present data insights that inform decision-making and drive business growth. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in the field of data analysis.

Junior Data Analyst Duties and Responsibilities
  • Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
  • Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
  • Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
  • Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
  • Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
  • Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
  • Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.

Requirements

  • Strong analytical skills and a passion for working with data.
  • Proficiency in data analysis tools and programming languages such as Excel, SQL, Python, or R.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent communication skills, with the ability to translate complex data into understandable insights.
  • Detail-oriented and capable of maintaining data accuracy and integrity.
  • Strong problem-solving skills and the ability to think critically.
  • Highly organized and able to manage multiple tasks and deadlines effectively.
  • Team player with a collaborative mindset and the ability to work well in a diverse team environment.
  • Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.

Benefits

  • 401(k)
  • Dental insurance
  • Disability insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Bonus opportunities