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Data Engineer Internship Amazon Jobs in Kentucky

Amazon.com Services LLC

Reg. Automation Eng

Erlanger, KY · On-site

You will deliver this through the use of statistics and data analytics, structured problem solving ... About the team Our team's mission is straightforward: engineer the equipment that powers Amazon Air ...

Amazon

Operations Manager

Shepherdsville, KY · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... engineering Amazon is an equal opportunity employer and does not discriminate on the basis of ...

Amazon

Manager - Site Deployment , OneMHS

Hebron, KY · On-site

Candidate can sit out of any Amazon location in US. A day in the life As a Operations Engineer ... Strong data analysis skills with the ability to translate metrics into actionable insights ...

Verdantas

Spring Internship 2027

Fort Mitchell, KY · On-site

$16.50 - $21.25/hr

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... We partner with clients to deliver smart, data-driven solutions to complex environmental and ...

New

Xometry

Senior Data Scientist, Costing

Lexington, KY · Hybrid

Use cloud resources (e.g., Amazon Web Services) to prepare and process data * Query and extract ... engineering preferred * M.S. or Ph.D. in a related field highly desired * 5+ years of experience ...

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How much do data engineer internship amazon jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data engineer internship amazon in Kentucky is $22.07, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.05 per hour, depending on experience, location, and employer.

What does a data engineer intern do at Amazon?

A Data Engineer Intern at Amazon works on designing, building, and maintaining scalable data pipelines and systems to support business analytics and decision-making. Interns typically collaborate with experienced data engineers and other team members to process large datasets, ensure data quality, and optimize performance. They may also help automate data collection, transformation, and storage processes, gaining hands-on experience with Amazon's cloud technologies and big data tools. The internship offers an opportunity to develop technical skills in databases, programming, and data modeling in a real-world, fast-paced environment.

What types of projects and technologies do data engineer interns at Amazon typically work with?

As a Data Engineer Intern at Amazon, you can expect to work on projects involving large-scale data pipelines, data warehousing, and analytics solutions. Interns often gain hands-on experience with Amazon Web Services (AWS) tools such as Redshift, S3, and Glue, as well as programming languages like Python and SQL. You'll collaborate closely with software engineers, data scientists, and business analysts to design and optimize data systems that support Amazon's business operations. This role provides a strong foundation in both the technical and collaborative aspects of data engineering, offering ample learning opportunities in a fast-paced, innovative environment.

What is the difference between Data Engineer Internship Amazon vs Data Analyst Internship Amazon?

AspectData Engineer Internship AmazonData Analyst Internship Amazon
Required SkillsSQL, Python, ETL, data modelingSQL, Excel, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud platformsData reporting, dashboards, business insights
Industry UsageTech, e-commerce, cloud servicesBusiness, marketing, finance

Both internships are common in Amazon's data teams but focus on different aspects. Data Engineer Internships involve building and maintaining data infrastructure, while Data Analyst Internships focus on analyzing data to generate insights. Candidates should choose based on their technical skills and career interests.

What are the key skills and qualifications needed to thrive as a data engineer intern at Amazon?

To thrive as a Data Engineer Intern at Amazon, you need a solid understanding of data structures, algorithms, and proficiency in programming languages such as Python, Java, or Scala, often supported by progress towards a degree in computer science or a related field. Familiarity with SQL, cloud platforms (especially AWS), and big data tools like Hadoop or Spark is typically required. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt in a fast-paced environment. These skills and qualities are crucial to efficiently manage data pipelines, contribute to impactful projects, and succeed within Amazon’s data-driven culture.
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Data Engineer Internship Amazon jobs near you

Senior Data Scientist

Cognizant Technology Solutions

Louisville, KY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

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Data Scientist
About the role
As a Data Scientist, you will make an impact by transforming complex healthcare and business data into actionable insights that drive strategic decision-making and operational improvements. You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, data engineers, analysts, and technology teams to develop advanced analytics, predictive models, and forecasting solutions that deliver measurable business value.
In this role, you will:
  • Analyze large and complex datasets to identify trends, patterns, risks, and opportunities that support business objectives.
  • Develop predictive, forecasting, and statistical models to drive data-informed decision-making and business outcomes.
  • Perform exploratory data analysis, hypothesis testing, correlation analysis, and advanced statistical evaluations to solve business challenges.
  • Build and optimize analytical solutions and data pipelines using Python, SQL, and Databricks.
  • Partner with business and technical stakeholders to translate business requirements into scalable analytics solutions and effectively communicate findings.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring time in a Cognizant or client office in Dallas, TX. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or related analytical roles.
  • Strong hands-on experience with SQL and Python, including libraries such as Pandas, NumPy, and Scikit-learn.
  • Experience developing predictive models, forecasting solutions, and statistical analysis frameworks.
  • Hands-on experience with Databricks and modern analytics platforms.
  • Strong understanding of data visualization, data storytelling, and communicating analytical insights to stakeholders.
  • Experience working with large-scale datasets and delivering business-focused analytical solutions.
  • Excellent analytical, problem-solving, communication, and stakeholder management skills.
  • Healthcare industry experience is required.
These will help you stand out
  • Experience with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
  • Experience deploying machine learning models into production environments.
  • Knowledge of healthcare analytics, population health, clinical data, claims data, or healthcare operations.
  • Familiarity with data engineering concepts, data governance, and data quality frameworks.
  • Experience working within Agile delivery environments.
  • Advanced degree in Data Science, Statistics, Machine Learning, or a related discipline.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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