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Entry Level Data Engineering Jobs in Kansas (NOW HIRING)

SynergisticIT

Junior Java/C++ Developer

Olathe, KS · On-site

$63K - $82K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

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Entry Level Data Engineering information

See Kansas salary details

$10

$18

$28

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 Kansas is $18.05, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.52 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.
What are the most commonly searched types of Data Engineering jobs in Kansas? The most popular types of Data Engineering jobs in Kansas are:
What are popular job titles related to Entry Level Data Engineering jobs in Kansas? For Entry Level Data Engineering jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Kansas look for? The top searched job categories for Entry Level Data Engineering jobs in Kansas are:
What cities in Kansas are hiring for Entry Level Data Engineering jobs? Cities in Kansas with the most Entry Level Data Engineering job openings:
Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Kansas as of July 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $37,545 per year, or $18.1 per hour.
Entry Level Artificial intelligence security specialist

Entry Level Artificial intelligence security specialist

SynergisticIT

Wichita, KS • On-site

Other

Posted 7 days ago

Job description

Job Opportunity at Synergisticit

Synergisticit wants every candidate to know that the job market is challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need.

Position open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Client, Visa, Walmart Labs etc to name a few. We have an excellent reputation with the clients.

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply.

Who should apply: Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. Candidates who are serious about their future in the IT industry and have set big goals for themselves. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes. Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement. Candidates who lack experience, have had a break in careers, lack technical competency, different visa candidates who want to get employed and settle down in the USA.

Please also check the below links: Synergisticit Pics/Salaries of Successful Candidates

Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit

Why do tech companies not hire recent computer science graduates? Technical skills or experience? Which one is important to get a job? SynergisticIT If not a match candidates can opt for skill enhancement.

Required skills for Java/Software Programmers:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of core Java, JavaScript, C++ or software programming
  • Spring boot, microservices and REST API's experience
  • Excellent written and verbal communication skills

Required skills for data science/machine learning:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, Python, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, text mining, Tableau, time series analysis

Please understand skills are required by clients for selection even if it's a junior or entry level position. The additional skills are the only way a candidate can be picked by clients. No third party candidates or C2C candidates. Please understand skills are required by clients for selection even if it's a junior or entry level position. The additional skills are the only way a candidate can be picked by clients. Please apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

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