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Data Automation Internship Jobs (NOW HIRING)

Ericsson

Automation Engineer

Plano, TX · On-site

Data Analytics & Reporting * Analyze operational data to identify trends, inefficiencies, and ... Experience through coursework, internships, research, personal projects, certifications, or open ...

Siemens

$14.25 - $19.25/hr

Smart Buildings Automation Solutions & Service Sales Internship Location: San Diego area branch ... Help manage CRM data by tracking leads and maintaining data accuracy * Shadow sales calls and ...

New

Siemens

$15 - $20/hr

Smart Buildings Automation Solutions & Service Sales Internship Location: San Diego area branch ... Help manage CRM data by tracking leads and maintaining data accuracy * Shadow sales calls and ...

New

Siemens

$16 - $21.50/hr

Smart Buildings Automation Solutions & Service Sales Internship Location: San Diego area branch ... Help manage CRM data by tracking leads and maintaining data accuracy * Shadow sales calls and ...

New

Textron

2027 Internship: Automation Engineering (San Antonio, TX) Description Kautex is a global company ... Use data acquisition to provide insights on production lines and equipment using an IOT platform ...

New

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Data Automation Internship information

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How much do data automation internship jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data automation internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is a data automation internship?

A Data Automation Internship is a temporary position, often for students or recent graduates, where you assist organizations in streamlining and automating data processes. Interns typically work with tools and programming languages like Python, SQL, or R to create scripts, workflows, or dashboards that reduce manual data handling. The internship provides hands-on experience with data management, automation tools, and process optimization, helping you develop practical skills for a career in data analysis or engineering. These roles often involve collaborating with data analysts, engineers, and other team members to identify opportunities for automation and improve data efficiency.

What are the key skills and qualifications needed to thrive as a data automation intern, and why are they important?

To thrive as a Data Automation Intern, you need a solid understanding of data analysis, programming (often Python, SQL), and basic knowledge of automation concepts, usually backed by coursework in computer science or a related field. Familiarity with data visualization tools, workflow automation platforms (like Alteryx or UiPath), and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns solve problems and collaborate on team projects. These abilities ensure efficient data processes, accurate results, and seamless integration with broader data initiatives.

What are some common challenges faced during a data automation internship, and how can interns effectively overcome them?

During a Data Automation Internship, common challenges include working with unfamiliar automation tools, ensuring data quality, and integrating automated workflows with existing systems. Interns can effectively overcome these by actively seeking guidance from team members, participating in code reviews, and dedicating time to learn the organization's preferred technologies. Regular communication with mentors and asking clarifying questions early helps resolve issues quickly and fosters a supportive learning environment.

What is the difference between Data Automation Internship vs Data Analyst?

AspectData Automation InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields; often requires some experience
Work EnvironmentInternship setting, often in tech or finance companies, focusing on automation projectsFull-time role in various industries, analyzing data to inform business decisions
Employer & Industry UsageUsed by companies developing automated data pipelines and toolsCommon in finance, marketing, healthcare, and other data-driven sectors

While a Data Automation Internship focuses on gaining hands-on experience in automating data processes, a Data Analyst is responsible for interpreting data, creating reports, and supporting decision-making. Internships are entry-level and temporary, whereas Data Analyst roles are more permanent and require a broader skill set.

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Data Automation Internship jobs near you
Infographic showing various Data Automation Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

R&D Internship - Computer & Data Science

Corteva Agriscience

Indianapolis, IN • On-site

Full-time, Internship

Posted 2 days ago

New

Job description

Who are we, and what do we do. Grow what's next. Grow your future.

Are you excited to contribute to innovative research that advances food security and sustainability. Corteva Agriscience is seeking students for full-time internships within our Research and Development organization in Indianapolis, Indiana. Interns will work closely with experienced scientists and technical experts in an industrial R&D setting, with opportunities to build skills, contribute to meaningful projects, and network across the company.

What You'll Do: Interns will work on one of many computer science-based projects including automation, software engineering, information science, machine learning, database building and visualization, statistics, geospatial analysis, and/or mathematical modeling. Engage with business users to gather requirements, understand use cases, and identify opportunities to improve internal tools, workflows, and business processes. Explore and implement AI, machine learning, analytics, and automation capabilities to improve efficiency, recommend process improvements, and support data-driven decision-making.

Develop AI-enabled solutions that use historical data and patterns to recommend templates, workflows, task structures, dependencies, or other ways to manage work more effectively. Integrate and analyze data from multiple internal sources to improve data quality, reporting, dashboards, chatbot capabilities, business insights, and connections across project activities, milestones, and deliverables. Develop and enhance internal tools through workflow automation, responsibility or role mapping, administrative process improvements, and functionality that reduces manual effort.

Work with geographic information systems, where applicable, to develop new data products and conduct assessments. What Skills You Need: Currently pursuing a Bachelors, Masters, or Doctorate degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, Automation or a related Field Must have successfully completed two full years of undergraduate-level computer science or Data Science curriculum including associated laboratory courses. Strong technical data skills and business communication, curiosity and willingness to interact with stakeholders, problem-solving mindset.

Interest or experience in data engineering, data pipelines, cloud data platforms, workflow orchestration, version control, testing, deployment, or CI/CD practices is a plus. Minimum 3.0 GPA Must be able to relocate to Indianapolis, IN for the duration of the internship. Must be able to work full-time (40 hours per week) for at least 10 weeks during the timeframe of May to August (some six-month internship opportunities available).

Are you a good match. Apply today. We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.

Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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