Are you an engineering graduate with experience in data engineering, Python, SQL, ETL pipelines, and automation testing? Zebra Technologies Off Campus Drive 2026 brings an opportunity for candidates interested in building data platforms, developing automated pipelines, and working with modern AI-powered technologies.
Zebra Technologies is hiring for the position of Data Engineer 1 in Bengaluru, India. The role combines data engineering and quality assurance responsibilities, including ETL development, data transformation, backend and UI testing, and data validation using Agentic AI workflows.
Candidates with a B.E. or B.Tech degree and at least one year of relevant experience in data engineering and automation can consider applying. The job description highlights technologies such as Python, PySpark, GCP, Azure, SQL, DLT, LLM, RAG, Playwright, and Selenium.
This could be an interesting opportunity for professionals who want to work across data engineering, AI products, cloud technologies, and software quality assurance.
The application deadline mentioned in the listing is 18 November 2026. Interested candidates should review the requirements and submit their applications through Zebra’s official recruitment portal.
- 1 Zebra Technologies Off Campus Drive 2026 – Job Overview
- 2 About Zebra Technologies
- 3 Zebra Technologies Data Engineer 1 – Job Role
- 4 Eligibility Criteria for Zebra Technologies Off Campus Drive 2026
- 5 How to Prepare for Zebra Technologies Data Engineer 1 Recruitment
- 6 Who Should Apply for This Zebra Technologies Job?
- 7 Salary and Benefits at Zebra Technologies
- 8 Important Recruitment Safety Notice
- 9 AI Technology in the Hiring Process
- 10 Final Words
Zebra Technologies Off Campus Drive 2026 – Job Overview
Here are the important details of the Zebra Technologies Data Engineer 1 recruitment.
| Particulars | Details |
|---|---|
| Company Name | Zebra Technologies |
| Job Role | Data Engineer 1 |
| Job ID | JR103928 |
| Job Category | Data Engineering / Quality Assurance |
| Job Location | Bengaluru, India |
| Employment Type | Full-time |
| Work Arrangement | Hybrid work is mentioned among company benefits |
| Educational Qualification | B.E. / B.Tech in Engineering |
| Experience | 1+ Years |
| Primary Skills | Data Engineering, ETL, SQL, Python, QA Automation |
| Programming Languages | Python, Scala |
| Data Processing | PySpark, Dask |
| Cloud Technologies | GCP, Azure |
| Automation Testing | Playwright, Selenium |
| Additional Technologies | DLT, LLM, RAG, Agentic AI |
| Salary | Not Disclosed |
| Application Deadline | 18 November 2026 |
| Application Mode | Online |
Important: This is not explicitly described as a zero-experience fresher position. The job description asks for 1+ years of experience and hands-on automation and data engineering skills.
About Zebra Technologies
Zebra Technologies is a technology company focused on developing smart solutions that help organisations improve the way they work. Its products and technologies support businesses, their employees, customers, and partners.
The company highlights innovation, collaboration, continuous learning, and a workplace culture where employees are encouraged to contribute their ideas and develop professionally.
Zebra’s engineering teams work on technology solutions designed to address business and customer challenges. The company also emphasises employee development, flexibility, and wellbeing.
For candidates interested in data engineering, automation, and AI-powered products, this role offers an opportunity to contribute to technology platforms that support data-driven applications.
Zebra Technologies Data Engineer 1 – Job Role
The Zebra Technologies Off Campus Drive includes a Data Engineer 1 opening in Bengaluru. Although the job title focuses on data engineering, the position also has significant quality assurance and automation responsibilities.
The selected candidate will work on understanding client requirements, developing data pipelines, processing information, and verifying that the resulting data is correctly represented in software products.
This is an end-to-end engineering role. It involves more than writing ETL code: candidates will also be expected to test data, validate application functionality, investigate defects, and automate quality checks.
One particularly interesting aspect is the use of Agentic AI QA and development workflows. The role involves building automated data validation processes with appropriate human-in-the-loop checks to ensure that automation produces reliable results.
What makes this role different?
The position brings together three important areas:
- Data Engineering: Building ETL pipelines, transforming data, and developing scalable data platforms.
- Quality Assurance: Testing data, verifying application functionality, and documenting defects.
- AI-Powered Automation: Using Agentic AI frameworks and automation tools to improve data validation and testing workflows.
Candidates who have experience across these areas may find the position particularly relevant.
Eligibility Criteria for Zebra Technologies Off Campus Drive 2026
Candidates interested in the Zebra Technologies Off Campus Drive should carefully review the educational, experience, and technical requirements before applying.
Educational Qualification
The job description specifies the following educational qualification:
- B.E. (Bachelor of Engineering).
- B.Tech (Bachelor of Technology).
The supplied description does not mention a specific engineering branch, so candidates should check the official application form for any additional qualification requirements.
How to Prepare for Zebra Technologies Data Engineer 1 Recruitment
If you are planning to apply for this position, focus your preparation on practical data engineering and automation skills.
Here are some useful preparation suggestions.
1. Strengthen Your Python Knowledge
Practise Python fundamentals, including:
- Data types and variables.
- Lists, dictionaries, and sets.
- Functions and modules.
- Exception handling.
- File handling.
- Object-oriented programming.
- Data processing and automation scripts.
You should be comfortable writing Python code to solve practical problems.
2. Practise SQL Queries
SQL is an important skill for data engineering and data validation.
Revise topics such as:
- SELECT, INSERT, UPDATE, and DELETE.
- WHERE and ORDER BY.
- GROUP BY and HAVING.
- Joins.
- Subqueries.
- Common table expressions.
- Window functions.
- Data validation queries.
Practise writing queries that compare source and target data and identify missing or duplicate records.
3. Learn ETL Pipeline Development
Understand how to build an ETL pipeline from beginning to end.
Practise extracting information from files or databases, transforming the data, handling errors, and loading it into a target system.
4. Understand PySpark
Learn DataFrames, transformations, actions, filtering, joins, aggregations, and basic Spark execution concepts.
Try building a small data processing project using PySpark.
5. Practise UI Automation
Since the role includes UI testing, learn the basics of Playwright or Selenium.
Practise writing test cases that interact with web applications and verify whether displayed information is correct.
6. Understand Data Quality Testing
Learn how to validate data using:
- Null value checks.
- Duplicate record checks.
- Data type validation.
- Schema validation.
- Source-to-target comparisons.
- Row count verification.
- Business rule validation.
These checks are directly relevant to ensuring that data pipelines produce accurate results.
7. Learn Cloud Fundamentals
Review basic concepts of GCP and Azure, including cloud storage, data services, computing resources, and access management.
You should be able to explain how cloud services can support data engineering workloads.
8. Prepare Real Project Examples
Prepare to discuss your previous projects or professional experience.
For example, you could explain how you:
- Developed an ETL pipeline.
- Automated a data validation process.
- Used Python or PySpark for transformations.
- Tested a web application’s UI.
- Investigated a data mismatch.
- Improved a data processing workflow.
Be prepared to explain your actual contribution and the tools you used.
Who Should Apply for This Zebra Technologies Job?
This opportunity may be suitable for candidates with relevant engineering education and practical experience in data engineering and quality assurance.
Data Engineers: Professionals with experience developing ETL pipelines, transforming data, and working with databases can consider applying.
QA Automation Engineers: Candidates who have worked with UI automation, data testing, Playwright, or Selenium may find the role relevant.
Python Developers: Developers with Python automation and data processing experience can explore this opening if they also meet the data engineering requirements.
PySpark Developers: Candidates familiar with Spark-based data processing and large-scale transformations may be suitable.
AI Automation Professionals: Candidates with experience or practical exposure to LLM, RAG, and Agentic AI testing workflows can highlight that knowledge in their applications.
However, candidates should remember that the company specifically asks for 1+ years of experience and hands-on QA and data engineering capabilities.
Salary and Benefits at Zebra Technologies
The supplied job description does not disclose the salary range for the Data Engineer 1 position.
Candidates should confirm the compensation details during the recruitment process.
Zebra Technologies mentions several workplace benefits and flexibility options.
Important Recruitment Safety Notice
Zebra Technologies has included a warning about fraudulent job postings and fake employment offers.
According to the company’s recruitment notice:
- Genuine recruiters will contact candidates through email accounts ending in @zebra.com.
- Applications are accepted through the company’s applicant tracking system.
- Recruiters will not ask candidates to provide personal identifying information through email or outside the official recruitment system.
Be cautious of anyone asking for money, banking details, passwords, or sensitive personal information during recruitment.
AI Technology in the Hiring Process
Zebra Technologies states that it uses AI technology to evaluate job applications based on objective, job-relevant criteria.
The company explains that this technology helps improve recruitment efficiency and fairness. However, final decisions about interviews and hiring are made by its recruitment team.
Candidates should provide accurate information in their resumes and applications and ensure that their experience genuinely reflects the job requirements.
Final Words
The Zebra Technologies Off Campus Drive 2026 offers an opportunity for engineering professionals interested in data engineering, ETL development, quality assurance, and AI-powered automation.
The Data Engineer 1 position is particularly relevant for candidates who can work across data pipelines, Python, SQL, PySpark, cloud technologies, and automated testing. Its combination of backend data engineering and UI-level quality assurance makes it different from a conventional data engineering role.
Candidates with a B.E. or B.Tech degree and at least one year of relevant experience should review the requirements carefully. If your technical background matches the job description, consider submitting your application before 18 November 2026.
