1,000+ matching jobs for “Senior Data Engineer”

How results work

Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Palo Alto Networks

Principal Automation Engineer (Data Security)

Office - Israel - Tel Aviv

Your Career The Cortex Cloud Data Security Posture Management (DSPM) product is responsible for helping customers understand what data they …

Added Oct 27, 2026

Save job

The Home Depot

Systems Engineer Senior Principal - Infrastructure and Data Platforms (Remote)

TEXAS - VIRTUAL - TX01

Remote
Full time
Regular

Pay posted by employer$170,000–$280,000

will typically support 4-6 different teams (contrasted with 2-3 for a Principal and 6-10 for a Distinguished Engineer) which will span a variety of functioning products. They will ensure that teams are making good use of …

Added Oct 16, 2026

Save job

DXC Technology

Sr Analyst II Data Engineering

Gurugram, Haryana, India

Essential Job Functions: • Participate in data engineering tasks, including data processing and transformation. • Assist in the development and …

Added Nov 3, 2026

Save job

S&P Global

Director, Distinguished Engineer - Data Platforms

Hyderabad, Telangana, India

Full time

Grade Level (for internal use): 13 Key Responsibilities Data Pipeline Transition and Platform Delivery Partner with the core Databricks team to plan and execute the …

Added Oct 27, 2026

Save job

Kyndryl Holdings

Senior Kafka Platform Engineer (IT Operations Data Pipeline)

Hoofddorp, North Holland, The Netherlands

… over 64 landen. Een van onze grootste klanten is het Ministerie van Defensie. Wat ga je doen? Je gaat als Senior IT ODP SME proactief aan de slag met het invullen van je werkzaamheden op basis van jouw kennis en …

Added Oct 27, 2026

Save job

General Mills

Infrastructure Engineer II – Data Platforms

Mumbai, Maharashtra, India

Hybrid
Full time
Regular

… 
 OVERVIEW Are you a database expert who thrives in a fast-paced, multi-platform environment? As a Senior Infrastructure Engineer on our Digital & Technology team, you will lead the migration and modernization of …

Added Oct 27, 2026

Save job

Bank of America

Senior Data Engineer - AI Infrastructure Integration, High Performance Compute

New York +2 locations

Pay posted by employer$140,500–$205,000

… to learn, grow, and make an impact. Join us! Position Summary The Artificial Intelligence (AI) Sr. Data Engineer will design, build, validate, and operationalize AI-enabled solutions that improve infrastructure, …

Added Oct 27, 2026

Save job

Johnson & Johnson

Senior Data Scientist, Biologics Discovery

Spring House, Pennsylvania, United States of America +3 locations

Full time
Regular

Pay posted by employer$109,000–$174,800

… About the opportunity Johnson & Johnson Innovative Medicine is seeking a Senior Data Scientist dedicated to our Biologics Discovery organization. This role sits within our Data Science …

Added Oct 15, 2026

Save job

Danaher

Data and Reporting Engineer (PSI)

Bengaluru, Karnataka, India

Regular

drives operational excellence by ensuring data accuracy, identifying business risks and opportunities. This position reports to the Senior Project Manager …

Added Oct 15, 2026

Save job

LPL Financial Holdings

AVP, Data Center Network Engineer

Fort Mill/Charlotte +5 locations

Full time
Regular

Pay posted by employer$103,618–$172,628

Engineer and architect Data Center, Cloud, and LAN/WAN networking solutions. Configuration and deployment of both on …

Added Nov 3, 2026

Save job

Salesforce

Data Architect, Data Foundation

United Kingdom - London +1 location

As a Data Architect, you will act as a trusted advisor to our customers, leveraging your deep technical expertise in …

Added Oct 28, 2026

Save job

Amgen

Sr Associate Data Analytics & Reporting

India - Hyderabad

Full time
Regular

… more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE The Engineering Data Analysis & Reporting Analyst is an …

Added Oct 15, 2026

Save job

Amgen

Senior Data Scientist, Computational Biology

India - Hyderabad

Full time
Regular

Role Summary The AIN-based Computational Biology Data Scientist will design, implement, and advance advanced analytical and AI-driven frameworks to enable …

Added Oct 15, 2026

Save job

Marsh & McLennan

Operational Excellence & AI Data Engineer

Manila - Six/NEO

… new Guy Carpenter business division to be established within Marsh Philippines. Operational Excellence & AI Data Engineer Role Summary: Lead/support the development and execution of analytics, automation, and AI-enabled …

Added Oct 27, 2026

Save job

RTX

Senior Systems Engineer, Radar Data Analysis - AN/TPY-2

Woburn, Massachusetts, United States

… Systems Engineering and Test Capabilities (SE&TC) Surface Radars and Sensors Center is seeking a talented Senior Systems Engineer to join our Radar Performance and Analysis team supporting the AN/TPY-2 missile defense …

Added Oct 27, 2026

Save job

American International Group

Senior / Principal Data Scientist, GenAI

Atlanta, Georgia, United States

Full time

… risk, and we’re inviting you to be a key part of that transformation. How you will create impact As a Data Scientist at AIG, you will serve a critical role in the architecture, development, and delivery of …

Added Nov 3, 2026

Save job

General Motors

Senior Product Manager - Synthetic Data

Sunnyvale, California, United States +1 location

Hybrid
Full time
Regular

Pay posted by employer$106,600–$192,700

… accountable for results and seek leaders who can influence teammates, stakeholders, and executives using data and logic. As a Staff Product Manager for Synthetic Data, you will define and execute the strategy and …

Added Oct 12, 2026

Save job

Adobe

Principal Scientist - Data Pipeline Engineer

San Jose, California, United States +2 locations

Full time
Regular

Pay posted by employer$206,300–$388,000 per year

We're looking for a Principal ML Engineer to drive down cost per asset and drive up throughput across the ML pipelines behind Adobe's multimodal …

Added Oct 27, 2026

Save job

Fiserv

Senior Product Manager, Data & AI Platform

Berkeley Heights, New Jersey

Full time
Regular

Pay posted by employer$136,000–$225,600

… & Strategy: Define and lead the end-to-end vision, strategic roadmap, and success metrics for Fiserv’s Data & AI Platform, balancing quick wins with long-term modernization. Enhance Developer & User Experience: …

Added Nov 3, 2026

Save job

Walmart

SENIOR, DATA SCIENTIST (Computer Vision)

IN KA BANGALORE Home Office PW II

… Computer Vision, Python, SQL Experience: 5 - 10 years About Team The Corporate Technology Services data science team at Walmart Global Tech leverages advanced machine learning, agentic AI, and optimization …

Added Oct 27, 2026

Save job

Amgen

Senior Data Scientist, Computational Biology

India - Hyderabad

Full time
Regular

View job

Save job

Basic Qualifications · employer excerpt

Doctorate degree in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline with 1–2 years of relevant experienceOR
Master’s degree in a quantitative discipline with 5 years of relevant experience
6+ years of experience in an industry setting

About this opportunity

Original employer description

Career Category

Sales & Marketing Operations

Job Description

Role Summary

The AIN-based Computational Biology Data Scientist will design, implement, and advance advanced analytical and AI-driven frameworks to enable translational and reverse-translational insights from clinical trial data across Amgen’s global development portfolio. This role sits at the intersection of computational biology, advanced statistics, and modern machine learning, with a strong emphasis on predictive and prognostic biomarker modeling, multi-omic data integration, and next-generation AI-enabled analytical platforms.

The successful candidate will contribute intellectually and technically to Amgen’s precision medicine strategy by developing rigorous, scalable, and scientifically interpretable models that link molecular, cellular, and clinical phenotypes to disease stratification, efficacy, safety, and adverse event outcomes. This role requires demonstrated depth—not familiarity—in applied modeling, multi-omic analytics, and AI systems, with evidence of impact through peer-reviewed publications, production-grade codebases, or verifiable industry experience.

Key Responsibilities

Advanced Modeling & Translational Analytics

Design and implement predictive and prognostic biomarker models using clinical trial and biomarker data, including response, resistance, disease stratification, and adverse event endpoints.
Develop and apply multi-omic integration frameworks (e.g., factor models, MOFA-style latent variable approaches, matrix factorization, graph-based methods) to jointly analyze genomics, transcriptomics, proteomics, epigenomics, imaging, and clinical covariates.
Apply advanced statistical methodologies relevant to clinical development, including longitudinal and mixed-effects models, survival analysis, missing data and imputation strategies, confounder adjustment, and model interpretability.
Contribute to study-level and cross-program analyses that inform mechanism of action, patient selection strategies, and development decisions.

Machine Learning, AI & Emerging Capabilities

Build and evaluate machine learning, deep learning and causal inference models applied to biological and clinical data, with a clear understanding of model assumptions, limitations, and validation in regulated environments.
Develop or meaningfully contribute to AI-enabled analytical systems, including:
- Foundation and large language model–based approaches (e.g., GPT-class models) for scientific workflows
- Generative models for representation learning, hypothesis generation, or simulation
- Agentic AI systems (assistive, conversational, automated, predictive, or sentinel) to support analysis, decision-making, or platform capabilities
Partner with platform and engineering teams to ensure analytical methods are reproducible, scalable, and production-ready.

Scientific Rigor, Collaboration & Communication

Translate biological and clinical questions into well-defined analytical strategies and clearly articulate modeling choices, assumptions, and uncertainties.
Collaborate closely with biomarker scientists, clinicians, biostatisticians, and data engineers across global teams and time zones.
Communicate complex analytical results and their implications effectively through technical documentation, presentations, and cross-functional forums.
Operate with scientific independence while proactively seeking alignment and clarification in a highly matrixed, global development environment.

Basic Qualifications

Doctorate degree in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline with 1–2 years of relevant experience
OR
Master’s degree in a quantitative discipline with 5 years of relevant experience
6+ years of experience in an industry setting

Preferred Qualifications

Candidates should provide verifiable evidence for most of the following:

Quantitative & Computational Depth

Demonstrated, hands-on experience developing statistical or machine learning models for complex, multi-modal biomedical or clinical datasets, evidenced by:
- Peer-reviewed publications in reputable journals, and/or
- Public or internal GitHub repositories with substantive analytical or modeling contributions, and/or
- Clearly documented industry experience supporting clinical or translational programs.
Proven expertise in Python and R for scientific computing and modeling, including the development of reusable, well-documented analytical code.
Experience with modern ML/DL libraries and frameworks (e.g., PyTorch, TensorFlow, scikit-learn, tidymodels), with an understanding of when such methods are appropriate given clinical context.

Translational & Clinical Relevance

Demonstrated understanding of drug development and clinical trial data, including biomarker strategies, endpoint definitions, and translational study design.
Experience working with real-world clinical or biomarker data, including data QC, preprocessing, feature engineering, integration, modeling, and interpretation.
Familiarity with common clinical biomarker modalities and data types (e.g., NGS, transcriptomics, proteomics, imaging, immunoassays).

AI, Innovation & Platform Mindset

Direct experience applying or extending generative AI, foundation models, or agentic systems for scientific, analytical, or decision-support use cases.
Ability to critically evaluate new methods and technologies and assess their suitability for regulated, high-impact biomedical applications.

Professional & Global Operating Skills

Excellent written and spoken English communication skills, with the ability to explain complex quantitative work to diverse audiences.
Experience working with global teams and stakeholders across time zones; willingness to operate flexibly to support global programs.
Demonstrated intellectual humility, adaptability, curiosity, and the ability to pivot analytical approaches as program needs evolve.
Strong sense of ownership, scientific judgment, and accountability in complex, interdisciplinary projects.

What Will Distinguish Top Candidates

Clear evidence of end-to-end ownership of analytical work that influenced scientific or development decisions.
Depth in framework-building, not just model application.
A demonstrated ability to balance methodological sophistication with biological and clinical relevance.
Prior experience in large, global biotech or pharmaceutical organizations is strongly preferred.

Why this result? · Employer labels

Keywords also found in description

Full time
Regular
Technology

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.