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Data Engineer

Pay
Pay not listed
Work setting
Not stated
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 posting
  • Develop and test pipeline components and approved AI integrations in Python and SQL

  • Implement assigned API, retrieval or ML components with guidance

  • Prepare permitted datasets and record sources and versions for analytics and AI workflows

  • Run specified regression and failure-case tests and document results

  • Prepare technical documentation, handoffs and training materials for delivered products

From the employer’s posting
Develop and test pipeline components and approved AI integrations using Python, SQL and version control.
Implement assigned API, retrieval or ML components with guidance.
Prepare permitted datasets and record sources and versions for assigned analytics and AI workflows.
Run specified regression and failure-case tests, investigate issues and document results.
prepare technical documentation, handoffs and training materials.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree and 2 years of related experience, or a Master's degree
  • Strong programming skills in Python and/or R, with familiarity with SQL
  • Familiarity with version control, software testing and documentation
  • Familiarity with data structures, pipelines, APIs and cloud environments
  • Basic ML and generative AI literacy

Preferred experience

  • 5 to 9 years of experience in Data Engineer
  • Master’s degree in Computer Science, Data Science, Informatics, Software Engineering, Statistics or another technical discipline.
  • Familiarity with version control, software testing and documentation.
  • Familiarity with data structures, pipelines, APIs and cloud environments; approved AI integrations where relevant.
Qualification wording
One of the following: Master’s degree; OR Bachelor’s degree and 2 years of related experience.
Strong programming skills in Python and/or R, with familiarity with SQL.
Familiarity with version control, software testing and documentation.
Familiarity with data structures, pipelines, APIs and cloud environments;
Basic ML and generative AI literacy and the ability to learn approved tools with review.
5 to 9 years of experience in Data Engineer
Master’s degree in Computer Science, Data Science, Informatics, Software Engineering, Statistics or another technical discipline.
Familiarity with data structures, pipelines, APIs and cloud environments; approved AI integrations where relevant.
Education & alternatives
One of the following: - Master’s degree; OR - Bachelor’s degree and 2 years of related experience.
- Master’s degree; OR - Bachelor’s degree and 2 years of related experience. Preferred Qualifications
- 5 to 9 years of experience in Data Engineer - Master’s degree in Computer Science, Data Science, Informatics, Software Engineering, Statistics or another technical discipline. - Internship or early-career experience in the pharmaceutical or high-tech industry.
Apply at Amgen

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 6 and day 54.

At Amgen, jobs usually come down by about day 49.

From 11,115 similar postings that came down, and 189 of Amgen’s. Coming down is not always a hire.

Amgen is hiring

197 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring has slowed
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

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.

  • Python
  • R
  • SQL
Where the posting names them
- Prepare permitted datasets and record sources and versions for assigned analytics and AI workflows. - Develop and test pipeline components and approved AI integrations using Python, SQL and version control. - Run specified regression and failure-case tests, investigate issues and document results.
- Internship or early-career experience in the pharmaceutical or high-tech industry. - Strong programming skills in Python and/or R, with familiarity with SQL. - Familiarity with version control, software testing and documentation.

Your next step

Complete your application on amgen.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

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  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Has Amgen posted this job before?

Yes. We’ve followed 13 other Data Engineer jobs there since April 2026. 2 came down, usually after about 55 days. 11 are still up.

  1. HyderabadStill up after 170 days, first seen May 19
  2. HyderabadStill up after 154 days, first seen Jun 4
  3. HyderabadStill up after 119 days, first seen Jul 9
  4. HyderabadCame down after 96 days, first seen Jul 9
  5. HyderabadStill up after 86 days, first seen Aug 11
  6. HyderabadStill up after 86 days, first seen Aug 11
  7. HyderabadStill up after 20 days, first seen Oct 16
  8. HyderabadStill up after 20 days, first seen Oct 16
  9. This jobUp 2 days so far, first seen Nov 3

Large employers often post one title for several teams, so these can be separate openings.

About Amgen

People
About 31,500 in 2025, up 13% from the year before.Annual report (SEC Form 10-K)
Company
Listed as AMGN.
H-1B visas
143 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

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 data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

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

View original posting ↗

Career Category

Clinical

Job Description

Data Science Engineer

GCF Level 4

As a Data Science Engineer, you will develop and test assigned data pipelines, AI integrations and analytical tools with guidance from experienced colleagues. You will translate defined user and Data Science needs into documented technical components using established engineering practices. You will build pharmaceutical, clinical-data and AI-workflow knowledge while using approved tools, reviewed code and appropriate data-access controls.

Responsibilities

  • Work with data scientists to understand user needs and technical requirements.
  • Implement assigned API, retrieval or ML components with guidance.
  • Prepare permitted datasets and record sources and versions for assigned analytics and AI workflows.
  • Develop and test pipeline components and approved AI integrations using Python, SQL and version control.
  • Run specified regression and failure-case tests, investigate issues and document results.
  • Review AI-assisted code and record reproducible results.
  • Collaborate across regions with Data Science, Clinical Development, IS and data-platform partners.
  • Support acceptance testing and document AI limitations and required human review.
  • Support delivered products, identify improvements and prepare technical documentation, handoffs and training materials.

Accountabilities

  • Deliver well-tested, documented components that meet assigned technical requirements.
  • Follow data-access and privacy rules, protect secrets and escalate unsafe AI behavior or data exposure.
  • Contribute reusable components and improvements to data pipelines and analytical tools.
  • Take ownership of agreed deliverables and raise issues affecting quality or timelines.
  • Maintain code quality, maintainability and reliability.
  • Deliver tested components and support documentation on time.
  • Recommend implementation options and make code, testing and documentation decisions within agreed standards.

Basic Qualifications

One of the following:

  • Master’s degree; OR
  • Bachelor’s degree and 2 years of related experience.

Preferred Qualifications

  • 5 to 9 years of experience in Data Engineer
  • Master’s degree in Computer Science, Data Science, Informatics, Software Engineering, Statistics or another technical discipline.
  • Internship or early-career experience in the pharmaceutical or high-tech industry.
  • Strong programming skills in Python and/or R, with familiarity with SQL.
  • Familiarity with version control, software testing and documentation.
  • Familiarity with data structures, pipelines, APIs and cloud environments; approved AI integrations where relevant.
  • Basic ML and generative AI literacy and the ability to learn approved tools with review.
  • Working knowledge of software design, testing, debugging and maintainable code.
  • Ability to run specified AI tests and record model, prompt and data versions.
  • Ability to handle permitted data securely and recognize privacy, access and unsafe-AI-behavior risks.
  • Learning agility, structured problem-solving, accountability and effective collaboration.
  • Ability to explain software behavior, data flows and technical issues clearly to the intended audience.

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Source details

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Location & working pattern

India - Hyderabad

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