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No Experience Data Engineer Jobs in Springfield, OH

Childwise ABA

Behavior Technician (BT)

Plain City, OH

$18 - $23/hr

No experience? No problem! Childwise ABA is hiring Behavior Technicians (BTs) and offers paid ... Behavior Technicians accurately collect and document behavioral data * Behavior Technicians follow ...

search-tactics

Model-Based Systems Engineer

Dayton, OH · On-site

No Visa Sponsorship Available An established engineering services organization supporting federal ... Analyze system data to support design decisions and improve system performance * Contribute to ...

University of Dayton

Associate Data Analyst

Dayton, OH · On-site

Associate Data Analyst Job No: 503834 Work Type: Staff Full Time (1500 hours or greater) Location ... experience in data analytics. - Ability to identify, collect, analyze, and report performance ...

TJX Companies

Associate Industrial Engineer

Vandalia, OH · On-site

$60K - $75K/yr

No day is the same, and that's just how we like it. Every shift is a new opportunity to Discover ... Creates and maintains all data within PATS as required excluding interface maps. * Works on special ...

NASK Incorporated

Software Engineer

Beavercreek, OH · On-site

$90K - $140K/yr

Software Engineer Location: Beavercreek, OH (Relocation assistance is available) Minimum Clearance ... Experience developing real-time data processing applications. * Familiarity with encryption ...

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All JobsData Engineer JobsNo Experience Data Engineer JobsNo Experience Data Engineer Jobs in Springfield, OH

No Experience Data Engineer information

See Springfield, OH salary details

$40.1K

$116.8K

$159.9K

How much do no experience data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for no experience data engineer in Springfield, OH is $116,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What is a no experience data engineer?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

What skills and qualifications are needed to thrive as a no experience data engineer?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.

How can entry-level data engineers quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

What are the most commonly searched types of Data Engineer jobs in Springfield, OH?

The most popular types of Data Engineer jobs in Springfield, OH are:

What cities near Springfield, OH are hiring for No Experience Data Engineer jobs?

Cities near Springfield, OH with the most No Experience Data Engineer job openings:

No Experience Data Engineer jobs near you

Data Scientist with Security Clearance

Radiance Technologies

Beavercreek, OH • On-site

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago

Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton, OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational reimbursement, competitive salaries, interesting assignments, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed. Radiance is seeking a highly qualified and motivated data scientist to support GEOINT and Multi-INT production and the continued advancement of data analytical processes and techniques at the National Air and Space Intelligence Center (NASIC). The successful candidate is someone who creatively approaches a variety of requirements to meet intelligence needs, can balance work on multiple tasks, and will work collaboratively with other scientists, engineers, and analysts. Job Duties * Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of supplementary data to support intelligence production
* Assist in developing approaches to address key intelligence questions
* Provide leadership to the team and act as the team POC for the government Required Skills: * Active Top Secret Clearance with SCI eligibility
* Bachelor's Degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Mathematics, Geography, or other STEM field)
* Strong analytical, inference, critical thinking, and creative problem-solving skills
* Ability to work both independently and in a team environment
* Strong technical writing and briefing skills Desired Qualifications: * Ability to code/script, especially in Python
* Experience with data science and visualization tools, such as dash, R Shiny, Tableau, JMP/JMP Pro, and/or similar
* Background in machine learning/artificial intelligence
* Experience with GEOINT data, including non-literal data
* Expertise in Geographic Information Systems
* Knowledge of phenomenologies relevant to GEOINT data
* Master's or Doctoral degree Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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