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Entry Level Data Engineering Jobs (NOW HIRING)

GainAm

Entry Level Data Analyst job

Hicksville, NY · On-site

$70K/yr

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 ...

GainAm

Entry Level Data Scientist job

Hicksville, NY · On-site

$70K/yr

... 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 ...

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 ...

Falconwood, Inc.

M365 Platform Developer

Suffolk, VA

$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 ...

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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 Jul 12, 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 engineer makes $500,000 a year?

While most entry-level data engineering roles do not reach $500,000 annually, senior data engineers with extensive experience, specialized skills in big data tools, and leadership responsibilities can earn this level of compensation, often through a combination of salary, bonuses, and stock options in large tech companies or startups.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency but do not eliminate the core responsibilities of data engineering roles.

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 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.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level position.

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.

Which is the hardest field in it?

In entry-level data engineering, the most challenging aspects often involve mastering complex data pipelines, understanding distributed systems, and working with large-scale databases. Developing proficiency in tools like SQL, Python, and cloud platforms such as AWS or Azure can also be demanding for newcomers. Building strong problem-solving skills and gaining certifications can help overcome these challenges.
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Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $42,098 per year, or $20.2 per hour.
Business Intelligence Analyst - Data Engineering

Business Intelligence Analyst - Data Engineering

Medpace

Cincinnati, OH • On-site

Full-time

Re-posted 8 days ago

Medpace rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

14th of 59 rated research

Job description

Job Summary:
Medpace is a full-service clinical contract research organization focused on accelerating the global development of safe and effective medical therapeutics. They are seeking a Business Intelligence Analyst to enhance their analytical capabilities by partnering with the Data Engineering team to drive enterprise-wide data initiatives and improve business performance.
Responsibilities:
• Work in close partnership with the US Data Engineering team to drive enterprise-wide data initiatives to completion.
• Conduct complex analysis and proactively identify key business insights to assist departmental decision making.
• Design and develop key metrics, reports, and dashboards to drive insights and business decisions to improve performance and reduce costs.
Qualifications:
Required:
• Bachelor's Degree or higher in Business Analytics, Information Systems, IT, or similar
• Strong analytical and communication skills
• Excellent organization skills and the ability to work independently
• Technical Skills – either experience in, or strong desire to learn fundamental technical skills needed to drive Data initiatives (SQL, Python, Dimensional Modeling, etc.)
• Communication Skills - Partner with other data engineers to implement data architecture and design, to support complex analysis
• Analytical Skills - Conduct complex analysis and proactively identify key business insights to assist departmental decision making
• Data Visualization skills - Designing and developing key metrics, reports, and dashboards to drive insights and business decisions to improve performance and reduce costs
Preferred:
• Experience in business intelligence or data engineering – advanced SQL and Python preferred. Open to entry-level candidates
Company:
Medpace, Inc., a clinical research organization, provides clinical development services for pharmaceutical and biotechnology Founded in 1992, the company is headquartered in Cincinnati, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Medpace employees say

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Hours and flexibility

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About Medpace

Sourced by ZipRecruiter

Medpace is a globally recognized clinicial contract research organization (CRO) based in Cincinnati, OH, in the United States. Established in 1992, it operates in the healthcare sector, providing scientifically-driven outsourcing solutions for the development of drugs and medical devices. It offers comprehensive services like full-service clinical development services, regulatory affairs management, clinical pharmacology, data management, statistical analysis, and medical writing. By applying a scientifically-driven, therapeutically-focused, and patient-centric approach, Medpace's mission is to accelerate the global development of safe and effective medical therapies.

Industry

Medical equipment and supplies manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Cincinnati, OH, US

Year founded

1992

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