Senior Data Engineer
About this opportunity
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
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 252 comparable Senior Data & Digital roles across 46 biopharma companies.
Salary context
84 of 252 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 252 comparable roles
+ 20 more countries
Seniority mix
252 of 252 peers have a known seniority level
Therapeutic area mix
11 of 252 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.