Time since we first saw it
Day 6
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Senior Data Engineer
China - Zhejiang - Hangzhou
Actively hiring, first seen by us 6 days ago- 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 postingWe are looking for an experienced Senior Data Engineer to support the reliable operation and continuous improvement of our enterprise Data Lake and data integration platforms.
This is a hands-on engineering role with a strong focus on Data Lake BAU operations, production support, data pipeline reliability, and troubleshooting.
Operate and monitor Data Lake services, ETL/ELT pipelines, and scheduled jobs
Provide L2/L3 support and investigate job failures and data discrepancies
Perform root cause analysis across source systems, pipelines and downstream apps
Develop or enhance ETL/ELT pipelines and SQL logic where required
Automate repetitive BAU activities and maintain SOPs and runbooks
From the employer’s posting
We are looking for an experienced Senior Data Engineer to support the reliable operation and continuous improvement of our enterprise Data Lake and data integration platforms.
This is a hands-on engineering role with a strong focus on Data Lake BAU operations, production support, data pipeline reliability, and troubleshooting. The ideal candidate will have solid data engineering expertise, strong problem-solving skills, and a detail-oriented, patient, and ownership-driven mindset.
Operate and monitor Data Lake services, ETL/ELT pipelines, scheduled jobs
Provide L2/L3 support and investigate job failures, missing/rejected data, synchronization delays, data discrepancies
Perform root cause analysis across source systems, data pipelines, Data Lake, and downstream applications
Develop or enhance ETL/ELT pipelines, SQL logic, mappings, and data processing components where required
Automate repetitive BAU activities, improve monitoring and platform reliability, maintain SOPs/runbooks
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 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
Pfizer is hiring
19 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
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.
- Bash
- Python
- Shell
- SQL
- AWS
- PostgreSQL
- Redshift
- S3
- Snowflake
Where the posting names them
- Experience supporting business-critical production data environments, including monitoring, incident resolution, change/release, and production validation. - Working knowledge of Python, Shell/Bash, or similar scripting and automation technologies. - Strong analytical and problem-solving skills with a detail-oriented, patient, and ownership-driven working style.
- Data Quality & Operational Readiness Support data quality monitoring, reconciliation, access management, security and audit activities, platform maintenance, Disaster Recovery, and production readiness. - Change, Release & Engineering Enhancement Support platform changes, releases, configuration updates, bug fixes, and integration changes. Develop or enhance ETL/ELT pipelines, SQL logic, mappings, and data processing components where required. - Continuous Improvement & Collaboration Automate repetitive BAU activities, improve monitoring and platform reliability, maintain SOPs/runbooks, and collaborate with Data Engineering, Product, Infrastructure, upstream/downstream teams, and technology partners.
- 6+ years of experience in Data Engineering, Data Integration, Data Platform Engineering, or ETL/ELT development. - Strong hands-on experience with SQL, ETL/ELT, data pipelines, Data Lake, data warehouse, and data integration. - Experience with enterprise ETL/data integration platforms. Informatica IICS or equivalent experience is highly desirable.
- Experience with enterprise ETL/data integration platforms. Informatica IICS or equivalent experience is highly desirable. - Experience with cloud data platforms, preferably AWS/S3, and relational databases. - Strong ability to troubleshoot complex production issues across data pipelines, databases, integrations, and upstream/downstream systems.
Preferred - Hands-on experience with Informatica IICS, AWS S3, Redshift, PostgreSQL, Snowflake, or similar technologies. - Experience with data quality, reconciliation, metadata, data lineage, and monitoring.
Your next step
Complete your application on pfizer.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “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
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
Role Overview
We are looking for an experienced Senior Data Engineer to support the reliable operation and continuous improvement of our enterprise Data Lake and data integration platforms.
This is a hands-on engineering role with a strong focus on Data Lake BAU operations, production support, data pipeline reliability, and troubleshooting. The ideal candidate will have solid data engineering expertise, strong problem-solving skills, and a detail-oriented, patient, and ownership-driven mindset.
Key Responsibilities
- Data Lake & Pipeline Operations
Operate and monitor Data Lake services, ETL/ELT pipelines, scheduled jobs, data synchronization, ingestion, and downstream delivery to ensure data is processed accurately and on schedule. - Production Support & Troubleshooting
Provide L2/L3 support and investigate job failures, missing/rejected data, synchronization delays, data discrepancies, performance, and integration issues. Perform root cause analysis across source systems, data pipelines, Data Lake, and downstream applications. - Data Quality & Operational Readiness
Support data quality monitoring, reconciliation, access management, security and audit activities, platform maintenance, Disaster Recovery, and production readiness. - Change, Release & Engineering Enhancement
Support platform changes, releases, configuration updates, bug fixes, and integration changes. Develop or enhance ETL/ELT pipelines, SQL logic, mappings, and data processing components where required. - Continuous Improvement & Collaboration
Automate repetitive BAU activities, improve monitoring and platform reliability, maintain SOPs/runbooks, and collaborate with Data Engineering, Product, Infrastructure, upstream/downstream teams, and technology partners.
Qualifications & Technical Skills
Required
- 6+ years of experience in Data Engineering, Data Integration, Data Platform Engineering, or ETL/ELT development.
- Strong hands-on experience with SQL, ETL/ELT, data pipelines, Data Lake, data warehouse, and data integration.
- Experience with enterprise ETL/data integration platforms. Informatica IICS or equivalent experience is highly desirable.
- Experience with cloud data platforms, preferably AWS/S3, and relational databases.
- Strong ability to troubleshoot complex production issues across data pipelines, databases, integrations, and upstream/downstream systems.
- Experience supporting business-critical production data environments, including monitoring, incident resolution, change/release, and production validation.
- Working knowledge of Python, Shell/Bash, or similar scripting and automation technologies.
- Strong analytical and problem-solving skills with a detail-oriented, patient, and ownership-driven working style.
- Good communication and collaboration skills with both technical and business stakeholders.
Preferred
- Hands-on experience with Informatica IICS, AWS S3, Redshift, PostgreSQL, Snowflake, or similar technologies.
- Experience with data quality, reconciliation, metadata, data lineage, and monitoring.
- Experience with CI/CD, automation, and DevOps practices for data engineering.
- Familiarity with enterprise Incident, Problem, Change, Release, Security, Audit, and Disaster Recovery processes.
- Experience in pharmaceutical, healthcare, life sciences, or other regulated industries is highly preferred.
Work Location Assignment: On Premise
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
Information & Business Tech
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
China - Zhejiang - Hangzhou
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.