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Data Automation Internship Jobs in Reading, MA (NOW HIRING)

Hasbro

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... through internships, academic projects, or self-directed work. * Solid foundation in SQL ... Exposure to at least one scripting language (Python preferred) for data manipulation, automation ...

Hasbro

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... through internships, academic projects, or self-directed work. * Solid foundation in SQL ... Exposure to at least one scripting language (Python preferred) for data manipulation, automation ...

Analog Devices

Mixed Signal Engineer Intern

Wilmington, MA · On-site

$22 - $41/hr

Develop and validate machine learning models for analog design automation. * Analyze design data ... Internship/Cooperative Required Travel: Yes, 10% of the time The expected wage range for a new hire ...

Partners Capital

Data Operations Associate

Boston, MA · On-site

$65K - $80K/yr

Contribute to workflow automation initiatives -- documenting current-state processes, testing new ... internship or coursework in alternative investments a plus * Hands-on experience with Canoe ...

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All JobsData Automation JobsData Automation Internship JobsData Automation Internship Jobs in Reading, MA

Data Automation Internship information

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How much do data automation internship jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data automation internship in Reading, MA is $23.75, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $25.87 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.

Data Automation Internship jobs near you

Internship - Data Management

QuEra Computing, Inc.

Boston, MA • On-site

$30 - $40/hr

Internship

Re-posted 22 days ago

Job description

About QuEra Computing, Inc.
QuEra Computing is building the world's most powerful neutral-atom quantum computers. Our systems are designed to scale and enable groundbreaking advances in science and technology. We collaborate closely with leading academic and industry partners to push the boundaries of quantum computing, error correction, and fault tolerance.
Summary
The Photonics team at QuEra pioneers cutting-edge photonic chips for integration into neutral-atom quantum computers. QuEra Computing Inc. seeks a Photonics Data Engineer Intern to develop an AI-powered data infrastructure that supports our design, fabrication, and testing workflows. You'll develop tools that transform raw measurement and metrology data into actionable insights, directly informing how we design better photonic chips faster for large-scale neutral atom quantum computers. We are looking for the Photonics Data Engineer Intern to join us for Fall 2026.
Responsibilities
  • AI-powered Data Infrastructure: Develop an AI-powered data management infrastructure for photonic integrated circuit (PIC) design, fabrication, and testing workflows.
  • Automation and Tooling: Write Python functions and utilities to automate data ingestion, cleaning, and organization across multiple data sources.
  • Performance Analysis Pipelines: Build analysis pipelines to extract key device performance metrics (e.g., insertion loss, extinction ratio, bandwidth, yield). Analyze fabrication metrology datasets from multiple foundries and correlate findings with device performance to identify process-performance relationships.
  • Cross-functional Collaboration: Work with other photonics engineers to define data schemas and best practices for reproducible design and testing workflows.
  • Documentation: Document data infrastructure and analysis workflows for long-term team use.

Qualifications
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Physics, Mathematics, or a related discipline.
  • Strong proficiency in Python programming, with hands-on experience using AI and data science libraries including PyTorch, NumPy, SciPy, and Pandas, and familiarity with workflow automation tools.
  • Working knowledge of data storage formats, database design principles, and data analysis and visualization frameworks.
  • Proven track record of leveraging Python and AI tools to tackle challenging problems in science and physics.
  • Strong analytical mindset with exceptional problem-solving capabilities.
  • Excellent interpersonal and communication skills, with the ability to collaborate effectively across multidisciplinary teams.
  • Clear evidence of self-motivation and the ability to drive independent projects to completion.
  • While a deep background in quantum physics is not a prerequisite, a solid understanding of computer science and mathematics in the context of physical simulation and experimental analysis is required.

Compensation Range: $30-$40/hr
On-site internship. There is no relocation offered for this role.
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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