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Data Engineer Entry Level Jobs in Kentucky (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Louisville, KY · On-site

$77K - $202K/yr

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Domtar

Chemical Entry Level Engineer

Hawesville, KY · On-site

As an Entry Level Engineer, you will be part of a team that shapes the future of innovation in the ... Decipher data, apply findings into project recommendations, and revise project plans/drawings ...

Domtar

Chemical Entry Level Engineer

Hawesville, KY · On-site

As an Entry Level Engineer, you will be part of a team that shapes the future of innovation in the ... data, apply findings into project recommendations, and revise project plans/drawings/materials.

SynergisticIT

Full Stack Java Developer

Richmond, KY · On-site

$48.50 - $62.75/hr

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

Lewis Services

Field Engineer

Louisville, KY

Qualifications We are seeking an Entry-Level Field Engineer who will be responsible for ... Review geotechnical and pavement data during bidding to assist with proposals and bids * Research ...

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All JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Kentucky

Data Engineer Entry Level information

See Kentucky salary details

$38.6K

$112.7K

$154.2K

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

As of Jun 24, 2026, the average yearly pay for data engineer entry level in Kentucky is $112,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $119,400.00 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 Kentucky? The most popular types of Data Engineer jobs in Kentucky are:
What are popular job titles related to Data Engineer Entry Level jobs in Kentucky? For Data Engineer Entry Level jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in Kentucky look for? The top searched job categories for Data Engineer Entry Level jobs in Kentucky are:
What cities in Kentucky are hiring for Data Engineer Entry Level jobs? Cities in Kentucky with the most Data Engineer Entry Level job openings:
Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Kentucky as of June 2026, with employment types broken down into 88% Full Time, 8% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $112,662 per year, or $54.2 per hour.
entry level Junior java programmer /Data engineer

entry level Junior java programmer /Data engineer

SynergisticIT

Louisville, KY • On-site

Other

Posted yesterday

Job description

SYNERGISTICIT is aware that the Job Market is Challenging because of Tech Layoffs due to which The Job market is flooded with hundreds and thousands of laid off Jobseekers who are competing with existing Jobseekers. For entry level Job seekers to get client interviews and jobs they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients.
Since 2010 we have helped Jobseekers differentiate themselves by providing the clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers. All Positions are 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, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
Candidates can benefit from skill enhancement if they fall into the below categories.
Candidates who Lack Experience or are freshers with No actual on Job experience with projects with clients Have had a break in careers Lack Technical Competency or skills being demanded by clients Different visa candidates (Like OPT/H4EAD/L2EAD ) who want to get employed and settle down in the USA please check the below links to see success outcomes of our candidates https://www.synergisticit.com/candidate-outcomes/
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
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
• Project work on the skills
• Knowledge of Core Java , javascript , C++ or software programming
• Spring boot, Microservices, Docker, Jenkins and REST API's experience
• Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Project work on the technologies needed
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
• Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis
Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates
please only apply to the posting
No phone calls please. Shortlisted candidates would be reached out.

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