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Entry Level Data Engineering Jobs (NOW HIRING)

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 ...

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 ...

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/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 ...

Atonom

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 ...

Atonom

Data Engineer

Provo, UT · On-site

Salary: $50,000 to $90,000 Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

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 ...

Denny's

Infrastructure Engineer

Spartanburg, SC · On-site

$105K - $138K/yr

Administrators on the team provide entry-level data center support, and the Infrastructure Engineer collaborates with them through informal knowledge sharing and runbook walk-throughs to cover ...

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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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What cities are hiring for Entry Level Data Engineering jobs? Cities with the most Entry Level Data Engineering job openings:
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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.
M365 Platform Developer

M365 Platform Developer

Falconwood, Inc.

Suffolk, VA • On-site

$105K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Overview
Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development.
The Data Scientist I will be responsible for supporting data-driven analysis and decision-making tools for the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, particularly within the Command Data Office (CDO).
Responsibilities
This entry-level data science role supports the development of analytical tools and workflows that power mission decision-making across the Navy Information Warfare enterprise. The candidate will perform data mining, statistical analysis, and visualization to deliver operational insights aligned with NAVIFOR's data strategy. This position is based in Suffolk, VA, with limited travel anticipated.
Responsibilities:
  • Perform analysis and modeling of large, complex data sets to identify patterns, trends, and actionable insights
  • Support the development of dashboards, data visualizations, and reporting tools using modern BI platforms
  • Assist in the integration of structured and unstructured data sources to support analytics workflows
  • Conduct data profiling, cleaning, transformation, and normalization activities
  • Apply machine learning and statistical analysis techniques to support mission-aligned use cases
  • Support the development of Extract, Transform, Load (ETL) pipelines and data structures for reporting
  • Collaborate with engineering and analytics teams to turn analytical insights into production-ready tools
  • Contribute to the implementation of the NAVIFOR data strategy across enterprise platforms

Qualifications
Education: Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline
Experience: Minimum 3 years of experience in data analytics, data engineering, databases, visualization, and applied coding
Clearance: Active Secret Clearance required
Technical Skills:
  • Must have 2+ years of experience developing and designing in Office 365 (O365) and Microsoft Power Platform business solutions to include Power Apps, Power Automate, Flow, DataVerse, and Power BI.

Other abilities required:
  • Experience working with SharePoint Online and/or On-Premise environments.
  • Configuring, troubleshooting, and managing advanced SharePoint security and permission structures.
  • Designing or implementing SharePoint sites utilizing a flat architecture model and modern design templates.
  • The ability to evaluate business requirements to determine when a solution requires custom Power Platform integration rather than relying on SharePoint out-of-the-box (OOTB) features.
  • *Enterprise-level experience developing business solutions within the Microsoft Power Platform.
  • Managing and implementing Power Platform security roles, data policies, and access controls.
  • Developing and deploying custom applications to production using Power Apps.
  • Designing, testing, and implementing complex automated workflows using Power Automate.
  • Practical experience building, connecting data to, and publishing dashboards using Power BI.
  • Experience with configuration, deployment, and lifecycle management of different Power Platform environments (e.g., Dev, Test, Prod).
  • Designing or adapting application architectures to comply with specific Microsoft Power Platform licensing tiers or constraints.
  • Utilizing Microsoft Dataverse as a primary backend data source for enterprise applications

    • Desirable:
      • Using Power FX: Crafting formulas to enable complex functions and logic within the applications, as per the business requirements.
      • SharePoint Online (SPO)

The Candidate:
  • Must be technically savvy and possess excellent communication skills
  • Must have effective critical thinking and problem-solving skills
  • Must be self-motivated and able to deliver with minimal supervision
  • Proficient in Microsoft Word, Excel, PowerPoint, and Outlook

This is a fast paced and high demand position that is onsite in Suffolk, VA.
Limited to no travel is anticipated.
Pay Range
Base pay is $105,000-$115,000, subject to skill level, qualifications, and location.
Benefits Highlights
401k, Tuition Reimbursement, Health/Dental/Vision Insurance, PTO, Federal Holidays, Performance Increases, Reserve Duty Compensation and more!
Falconwood logo

About Falconwood

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Arlington, VA, US

Year founded

2002

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