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Data Engineer Internship Amazon Jobs in Louisiana

Associate Data Engineer

Iowa, LA · On-site +1

$65K - $95K/yr

Internship, co-op, research, or project experience involving data engineering, data analytics, reporting, or software development. * Familiarity with Tableau, Power BI, or similar reporting and ...

New

This internship is designed to provide meaningful, hands-on experience that prepares students for a ... Your role and responsibilities As an Intern Data Engineer at IBM, you'll gain hands-on experience ...

This internship is designed to provide meaningful, hands-on experience that prepares students for a ... Your role and responsibilities As an Intern Data Engineer at IBM, you'll gain hands-on experience ...

This internship is designed to provide meaningful, hands-on experience that prepares students for a ... Your role and responsibilities As an Intern Data Engineer at IBM, you'll gain hands-on experience ...

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Data Engineer Internship Amazon information

See Louisiana salary details

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

As of Sep 7, 2026, the average hourly pay for data engineer internship amazon in Louisiana is $21.73, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $24.66 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 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.

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 popular job titles related to Data Engineer Internship Amazon jobs in Louisiana?

For Data Engineer Internship Amazon jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Data Engineer Internship Amazon jobs in Louisiana look for?

The top searched job categories for Data Engineer Internship Amazon jobs in Louisiana are:

What cities in Louisiana are hiring for Data Engineer Internship Amazon jobs?

Cities in Louisiana with the most Data Engineer Internship Amazon job openings:

Associate Data Engineer

The Mutual Group

Iowa, LA • On-site, Remote

$65K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Department:

Actuarial

Job Description:

We are seeking a motivated and curious Associate Data Engineer to join our Analytics Hub and help transform data into a strategic business asset. This role is designed for early-career professionals who want to build a strong foundation in data engineering, analytics, and cloud-based technologies while supporting critical business functions across the organization.

The Associate Data Engineer will work closely with actuaries, analysts, underwriting, claims, and technology teams to develop and support data pipelines, analytical datasets, and reporting solutions that enable informed business decisions. The ideal candidate is a problem solver who enjoys working with data, learning new technologies, and collaborating with business partners to improve data accessibility and quality.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

  • Develop and maintain data pipelines, data integrations, and analytical datasets that support actuarial, underwriting, claims, and business analytics.

  • Partner with actuaries, analysts, and business stakeholders to understand data requirements and assist in delivering reliable data solutions.

  • Support Tableau, Power BI, and other reporting and analytics platforms by preparing and validating data assets and creating dashboards for management.

  • Assist with data quality monitoring, validation, reconciliation, and documentation activities.

  • Participate in the development of data products that enable self-service analytics and reporting.

  • Work with technology teams to support cloud-based data platforms and integration processes.

  • Contribute to automation and process improvement initiatives that increase efficiency and data reliability.

  • Follow established data engineering standards, development practices, and governance requirements.

  • Continuously learn and apply new technologies, tools, and techniques related to data engineering and analytics.

Qualifications:

Required Experience

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, Statistics, Actuarial Science, or a related field.

  • 0 to 3 years of professional experience in data engineering, analytics, software development, data integration, or a related technical field.

  • Foundational knowledge of SQL and relational database concepts.

  • Exposure to Python or another programming language through coursework, internships, personal projects, or professional experience.

  • Strong analytical, critical thinking, and problem-solving skills.

  • Excellent written and verbal communication skills.

  • Demonstrated ability to learn new technologies and work collaboratively in a team environment.

Preferred Experience

  • Internship, co-op, research, or project experience involving data engineering, data analytics, reporting, or software development.

  • Familiarity with Tableau, Power BI, or similar reporting and visualization tools.

  • Exposure to cloud technologies such as Snowflake, Databricks, Microsoft Fabric, Azure, AWS, or similar platforms.

  • Experience working with large datasets and data transformation processes.

  • Interest in insurance, actuarial analytics, business intelligence, or advanced analytics.

  • Exposure to AI-assisted development tools, automation technologies, or machine learning concepts.

Pay Range:

Anticipated Hiring Range:

  • $65,000 - $95,000 annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

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