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From 1,409 similar postings that came down. Coming down is not always a hire.
Engineer, Data Analytics Engineering
Bengaluru, KA, India
Likely evergreen, first seen by us today- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingBuild and maintain scalable applications, REST APIs and backend services
Build and integrate GenAI solutions using LLMs and vector databases
From the employer’s posting
building, maintaining, and integrating scalable applications, REST APIs, and backend services
Experience in building and integrating GenAI solutions using LLMs, vector databases, and prompt engineering techniques
What you’ll bring
All qualificationsCore experience
- Strong understanding of data integration, transformation and database design
- Application development experience using Java
- Proficiency in Python, Java or Scala
- Knowledge of ETL and data pipeline frameworks such as Spark or Airflow
- Bachelor of engineering degree
Preferred experience
- Understanding of big data technologies such as Hadoop, Hive or HBase
- Familiarity with cloud platforms such as AWS, Azure or GCP
- Familiarity with GenAI frameworks such as LangChain or OpenAI
Qualification wording
Strong understanding of data integration, transformation, and database design.
Experience in application development using Java
Proficiency in programming languages such as Python, Java, or Scala.
Knowledge of ETL and data pipeline frameworks (e.g., Apache Spark, Apache Airflow).
Bachelor of engineering
Understanding of big data technologies (e.g., Hadoop, Hive, HBase)
cloud platforms (e.g., AWS, Azure, GCP)
Familiarity with GenAI frameworks and APIs (e.g., LangChain, OpenAI, Azure OpenAI, Hugging Face).
Education & alternatives
Qualifications Bachelor of engineering Additional Information
Posting record
Report an errorLikely evergreenReposted 2 times since Oct 30, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
- Reposted
- 2 times since Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Western Digital is hiring
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down quickly
- 47% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- Scala
- AWS
- Azure
- GCP
- Hadoop
- Hive
- Spark
- Airflow
- Hugging Face
Where the posting names them
Job Description Strong understanding of data integration, transformation, and database design.Experience in application development using Java, including building, maintaining, and integrating scalable applications, REST APIs, and backend services. Proficiency in programming languages such as Python, Java, or Scala.
Strong understanding of data integration, transformation, and database design.Experience in application development using Java, including building, maintaining, and integrating scalable applications, REST APIs, and backend services. Proficiency in programming languages such as Python, Java, or Scala. Knowledge of ETL and data pipeline frameworks (e.g., Apache Spark, Apache Airflow).
Knowledge of ETL and data pipeline frameworks (e.g., Apache Spark, Apache Airflow). Understanding of big data technologies (e.g., Hadoop, Hive, HBase) and cloud platforms (e.g., AWS, Azure, GCP). Experience in building and integrating GenAI solutions using LLMs, vector databases, and prompt engineering techniques.
Experience in building and integrating GenAI solutions using LLMs, vector databases, and prompt engineering techniques. Familiarity with GenAI frameworks and APIs (e.g., LangChain, OpenAI, Azure OpenAI, Hugging Face). Good problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Proficiency in programming languages such as Python, Java, or Scala. Knowledge of ETL and data pipeline frameworks (e.g., Apache Spark, Apache Airflow). Understanding of big data technologies (e.g., Hadoop, Hive, HBase) and cloud platforms (e.g., AWS, Azure, GCP).
Your next step
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Has Western Digital posted this job before?
Yes. We’ve followed 3 other Engineer, Data Analytics Engineering jobs there since July 2026. 2 came down, usually after about 0 days. One is still up.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Description
Job Description
Strong understanding of data integration, transformation, and database design.Experience in application development using Java, including building, maintaining, and integrating scalable applications, REST APIs, and backend services.
Proficiency in programming languages such as Python, Java, or Scala.
Knowledge of ETL and data pipeline frameworks (e.g., Apache Spark, Apache Airflow).
Understanding of big data technologies (e.g., Hadoop, Hive, HBase) and cloud platforms (e.g., AWS, Azure, GCP).
Experience in building and integrating GenAI solutions using LLMs, vector databases, and prompt engineering techniques.
Familiarity with GenAI frameworks and APIs (e.g., LangChain, OpenAI, Azure OpenAI, Hugging Face).
Good problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams.
Qualifications
Bachelor of engineering
Additional Information
WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com.
Company Description
WD is building the infrastructure behind the AI-driven data economy.
As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.
We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.
This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.
We’re looking for people who want to build, solve, and operate at that level.
Join us and let’s shape the future of data.
Source details
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- Pay
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- Location & working pattern
Bengaluru, KA, India
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- Work authorization
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