Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Greensboro, NC
Live, first seen by us 58 days agoEmployment type in the employer’s posting: TEMPFrom the employer’s posting
Currently pursuing a bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field or Associate degree holders with relevant skills and experience
Design, develop, and deploy containerized applications to Kubernetes
Build data pipelines and tools with data scientists for AI products
Integrate LLM-powered features into products
Build Streamlit UI prototypes and gather user feedback
Troubleshoot and resolve data pipeline and tooling issues
Design, develop, and deploy containerized applications to our Kubernetes cluster.
Collaborate with data scientists to develop and deploy data pipelines, architectures, and tools that support our AI products.
Work with Large Language Models (LLMs) to develop and integrate AI-powered features into our products.
Build UI applications using Streamlit or a similar framework to create product prototypes and gather feedback from users.
Troubleshoot and resolve issues related to data pipelines, architectures, and tools.
The Must-Haves - Currently pursuing a bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field or Associate degree holders with relevant skills and experience. - Strong programming skills in Python, with experience in data engineering, data science, or a related field.
From the employer’s posting.
At apexanalytix, we’re lifelong innovators!
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Day 58
Up longer than most. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Currently pursuing a bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field or Associate degree holders with relevant skills and experience. - Strong programming skills in Python, with experience in data engineering, data science, or a related field. - Experience with SQL and database management systems.
- Strong programming skills in Python, with experience in data engineering, data science, or a related field. - Experience with SQL and database management systems. - Knowledge of Large Language Models (LLMs) and their applications in AI product development.
- Knowledge of Large Language Models (LLMs) and their applications in AI product development. - Familiarity with containerization using Docker and Kubernetes. - Familiarity with natural language processing, text analysis, and machine learning
Quick Take The Data Engineering Intern is responsible for developing and deploying data applications, deploying into Kubernetes clusters, and building data pipelines. This role involves working with large datasets, implementing monitoring systems, and optimizing data handling processes. The intern will be part of a dynamic team, driving our data-driven culture forward with innovative solutions. The Work
The Work - Design, develop, and deploy containerized applications to our Kubernetes cluster. - Ensure scalability, reliability, and performance of deployed applications.
- Troubleshoot and resolve issues related to data pipelines, architectures, and tools. - Build UI applications using Streamlit or a similar framework to create product prototypes and gather feedback from users. - Stay up to date with industry trends, best practices, and emerging technologies in AI, data engineering, and cloud computing.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About Us:
At apexanalytix, we’re lifelong innovators! Since the date of our founding nearly four decades ago we’ve been consistently growing, profitable, and delivering the best procure-to-pay solutions to the world. We’re the perfect balance of established company and start-up. You will find a unique home here.
And you’ll recognize the names of our clients. Most of them are on The Global 2000. They trust us to give them the latest in controls, audit and analytics software every day. Industry analysts consistently rank us as a top supplier management solution, and you’ll be helping build that reputation.
Read more about apexanalytix - https://www.apexanalytix.com/about/
Quick Take
The Data Engineering Intern is responsible for developing and deploying data applications, deploying into Kubernetes clusters, and building data pipelines. This role involves working with large datasets, implementing monitoring systems, and optimizing data handling processes. The intern will be part of a dynamic team, driving our data-driven culture forward with innovative solutions.
The Work
The Must-Haves
Over the years, we’ve discovered that the most effective and successful associates at apexanalytix are people who have a specific combination of values, skills, and behaviors that we call “The apex Way”. Read more about The apex Way - https://www.apexanalytix.com/careers/
Benefits
At apexanalytix we know that our associates are the reason behind our successes. We truly value you as an associate and part of our professional family. Our goal is to offer the very best benefits possible to you and your loved ones. When it comes to benefits, whether for yourself or your family the most important aspect is choice. And we get that. apexanalytix offers competitive benefits for the countries that we serve, in addition to our BeWell@apex initiative that encourages employees’ growth in six key wellness areas: Emotional, Physical, Community, Financial, Social, and Intelligence.
With resources such as a strong Mentor Program, Internal Training Portal, plus Education, Tuition, and Certification Assistance, we provide tools for our associates to grow and develop.
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Greensboro, NC
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