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Data Engineer Entry Level Jobs in Columbus, OH (NOW HIRING)

Entry-Level Civil Engineer Join GPD Group, where our purpose is to improve the well-being of our ... Some travel and field work to collect data and develop solutions. * Project planning. * Develop ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Data Engineer Entry Level information

See Columbus, OH salary details

$41.6K

$121.2K

$165.8K

How much do data engineer entry level jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data engineer entry level in Columbus, OH is $121,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 per year, depending on experience, location, and employer.

Can I get a data engineer job with no experience?

Entry-level data engineering roles typically require some knowledge of programming, databases, and data processing tools like SQL, Python, or Spark. While prior experience is not always mandatory, demonstrating relevant skills through coursework, certifications, or personal projects can improve your chances of securing an entry-level position.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on more strategic and complex aspects of data management and analysis.

What engineer makes $500,000 a year?

While most entry-level data engineers do not earn this level of salary, highly experienced data engineers working in finance, technology, or consulting firms can reach or exceed $500,000 annually, especially with bonuses and stock options. Such salaries typically require advanced skills in big data tools, cloud platforms, and extensive industry experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

Is data engineering an entry level job?

Data engineering can be an entry level position, especially for roles that focus on basic data pipeline development and require foundational skills in SQL, Python, or cloud platforms. However, many data engineering roles prefer candidates with some experience or knowledge of big data tools like Hadoop or Spark, making some positions more suitable for those with intermediate skills.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Columbus, OH? The most popular types of Data Engineer jobs in Columbus, OH are:
What are popular job titles related to Data Engineer Entry Level jobs in Columbus, OH? For Data Engineer Entry Level jobs in Columbus, OH, the most frequently searched job titles are:
What cities near Columbus, OH are hiring for Data Engineer Entry Level jobs? Cities near Columbus, OH with the most Data Engineer Entry Level job openings:
Infographic showing various Data Engineer Entry Level job openings in Columbus, OH as of June 2026, with employment types broken down into 86% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,200 per year, or $58.3 per hour.
Entry Level Java/DevOps Developer - Remote

Entry Level Java/DevOps Developer - Remote

SynergisticIT

Columbus, OH • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

"Failing Tech Interviews? Or No Interviews ? Let's get You Offers!

Every job posting attracts hundreds or thousands of applicants, making it nearly impossible to stand out. Most job seekers blame their resume when they don't get interviews, but the real issue is positioning. A degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‐world scenarios.

Employers want candidates who demonstrate practical skills, confidence, and readiness. SynergisticIT gives you the tools to rise above the noise. Getting hired in tech isn't just about knowing how to code — it's about proving you can deliver value from day one.

Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It's also one of the most fixable—because interview performance is rarely about intelligence. It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test.

Many candidates learn coding, but they don't learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth.

The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why”) Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on—like a sport.

You don't just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted?

Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI—because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path.

SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? If you're already getting interviews, you're closer than you think.

Now it's time to train like you mean it—and turn interviews into offers. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact Form https://www.synergisticit.com/contact-us/ Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also.

Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.