Jobs in the United States

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Added 7 mins ago
Asset & Wealth Management - Software Engineering - Associate - New York
Campus
NY
Minimum 3 years of experience in Java, J2EE and/or Python
Added 11 mins ago
IA
Automation Test Engineer (51612)
INDEX ANALYTICS LLC
Baltimore, MD
- $110,000 to $130,000 USD / year
…processes using technologies such as Cucumber, Java, Jenkins, Python, Pytest, or Provar (or similar selenium-based…
Added 11 mins ago
Lead Security Engineer - Java Full Stack
JPMC page
Plano, TX · Columbus, OH
Design, develop, test and deploy Java/python applications to Dev, Test and Prod environment.
Added 13 mins ago
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AI-Native Software Engineer Analyst, Full-Stack Python
AT&T
Bothell, WA
- $77,800 to $130,800 USD / year
Launch your software engineering career at the intersection of Python, full-stack development, and Generative AI .
Added 13 mins ago
Data Engineer I , WW Ops Finance S&A
Amazon
Bellevue, WA
Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda).
Added 13 mins ago
Sr. Data & Analytics Engineer, Amazon Leo
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Strong programming experience with Python or another modern programming language and strong SQL skills.
Added 13 mins ago
Capital One Shopping Tech, Full - stack Engineer 5 (Remote - Eligible)
Capital One
Olympia, WA
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 13 mins ago
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Frontier Engineer (AI/Agentic)
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Olympia, WA
- $100,000 USD / year
…projects using one or more programming languages such as Java, Python, JavaScript, TypeScript, or…
Added 13 mins ago
System Development Engineer, Cloud AI/ML/storage server teams
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Amazon Web Services (AWS) Hardware Engineering designs and delivers next-generation cloud infrastructure. Our team builds custom accelerator systems that power AI, machine learning, and…
Added 13 mins ago
Forward Deployed Engineer, AWS Forward Deployed Engineering, US Government
Amazon
Seattle, WA
…production deployment - combining the technical rigor of an AWS SDE with the urgency and ownership required to deliver measurable customer business…
Added 13 mins ago
Forward Deployed Engineering Manager, AWS Forward Deployed Engineering
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…represent the FDE team to customer engineering leaders and AWS stakeholders, balancing delivery execution with people…
Added 14 mins ago
Data Engineer, Marketing Tech BI, Stores Finance Analytics & Insights
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Added 14 mins ago
Security Engineer, Field Innovation, Security Search and Observability (SSO)
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Seattle, WA · Bellevue, WA
The Field Innovation team is a Forward Deployed Engineering (FDE) group inside the AWS Security, Search, Observability, and Governance service team. We work directly with customers to build…
Added 14 mins ago
Data Engineer II, AWS Marketplace and Partner Services
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…high-priority data initiatives serving internal stakeholders and AWS customers. You will build automated, fault-tolerant, and scalable data solutions using technologies such as Spark, EMR,…
Added 14 mins ago
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Embedded Software Engineer - Development & Verification Tooling
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Bellevue, WA
- $80,800 to $120,800 USD / year
Strong knowledge of cloud platforms, containerization, and orchestration technologies (e.g., AWS, Azure, Docker, Podman, Kubernetes).
Added 23 mins ago
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Supervisor, Data Architect
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Denver, CO
- $95,400 to $192,000 USD / year
Proven experience with major cloud platforms such as Microsoft Azure, AWS or GCP
Added 24 mins ago
Senior Technical Software Expert - Tactical Mission Networks & Cloud
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Added 24 mins ago
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Senior Software Engineer
Red Hat, LLC
Remote, United States
- $142,370 to $234,770 USD / year
Must have four (4) years of experience with: Python, JavaScript, React, git, and Linux; databases and writing SQL queries, including Postgres, Redis, and ORMs; Kubernetes and OpenShift…
Added 25 mins ago
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Senior OCI Consultant
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Remote, United States
- $100,000 to $150,000 USD / year
Develop automation tooling in Python, Bash, and Terraform to reduce operational toil.
Added 25 mins ago
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Data Platform Engineer
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Remote, United States
- $100,000 to $150,000 USD / year
Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments.
Added 25 mins ago
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Red Hat OpenShift Engineer
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Remote, United States
- $100,000 to $150,000 USD / year
Hands-on experience with CI/CD, Bash, Python, or Go scripting.
Added 26 mins ago
FullStack Developer - R01573043
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…services, APIs, and databases - using React, TypeScript, Go, Java, Python, and Node.js. • Build and enhance RESTful APIs, gRPC/Thrift integrations, microservices, and distributed systems…
Added 26 mins ago
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Principal Python Developer
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- $120,000 to $170,000 USD / year
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Added 27 mins ago
Data Science & Engineering Intern
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Newark, DE · Arlington, VA
Use SQL and Python to prepare, transform, and analyze data from multiple sources.
Added 35 mins ago
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Senior Forward Deployed AI Engineer (GenAI, AWS)
Jobgether
Remote, United States
- $180,000 to $200,000 USD / year
…is looking for a Senior Forward Deployed AI Engineer (GenAI, AWS) based in the United…

Lilly

Data Engineer

South San Francisco, CA, United States

$157,500 - $231,000

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Job details

Pay: $157,500 - $231,000
Experience: 5+ years of data engineering experience building and operating production data systems.
Posting language: English
Posted: Sep 16, 2026

Original job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work - but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Where AI Meets Medicine: Build the Future of Drug Discovery in the Heart of Silicon Valley!

Making medicine that’s never been made means doing what’s never been done. If you’re an engineer, scientist, or builder who thrives on problems no one has solved before, this is your invitation; we want you on the team. We are ready to challenge the status quo and push medicine forward, all in the name of health. Are you up for the challenge? If so, join us!

About the Lilly and NVIDIA Partnership

Lilly and NVIDIA are launching a new AI co-innovation lab in the heart of Silicon Valley - an up-to-$1 billion, multi-year commitment to solve drug discovery’s toughest challenges. The lab brings Lilly scientists, technologists, chemists and biologists together with NVIDIA engineers under one roof. Together, we are building purpose-built foundation and frontier AI models trained on Lilly data at scale, tightening the feedback loop between automated wet labs and computational dry labs, designing the next generation of medicines for millions of patients across the globe.

What You’ll Be Doing

As a Data Engineer, you will build and maintain the data platforms that power AI-driven research and discovery. You will develop scalable pipelines that ingest, transform, and deliver chemical, biological, and experimental data for machine learning and scientific workflows. Partnering with AI Scientists, AI Engineers, and laboratory researchers, you will ensure that data is accurate, traceable, and accessible at scale. Your work will provide the trusted data foundation behind next-generation AI models and experiments.

How You’ll Succeed

Engineer datasets in large language environment for model training specifically efficient formats and storage layout (Parquet, Zarr, Arrow) and delivery fast enough that GPU clusters are never left waiting on data.
Design, develop, and maintain scalable and efficient data pipelines to support data analytics, reporting, and machine learning initiatives.
Ensure seamless data flow between systems and applications, optimizing data transfer and transformation processes for performance and scalability.
Build the ingestion path from the automated lab, so experimental results reach the models in hours rather than weeks, closing the loop between what a model proposes and what the next model learns from.
Own the correctness of what models train on completeness, sound joins across experimental sources, and validation that catches a bad dataset before it reaches a training run rather than after.
Build dataset versioning, lineage, and reproducibility into the platform, so any model can be traced to the exact data it was trained on months or years later.
Work with the laboratory, instrument, and external teams producing the data so that a change upstream does not quietly corrupt a training run downstream.

What You Should Bring

Strong Python, or equivalent experience building data-intensive software systems.
Strong SQL and data modeling experience including designing schemas that hold up as scientific data grows and diversifies, with expert knowledge of Postgres or a comparable enterprise database.
Distributed data processing (Spark, Ray, or Dask) and pipeline orchestration (Airflow or Dagster) at scale.
Experience with cloud platforms - AWS and Azure preferred - and with high-performance and object storage feeding large-scale compute environments.
A track record of building data systems that other people depend on, and of taking responsibility for them when they broke.
Strong testing practices and test automation, with solid CI/CD and Git fundamentals.
Adaptability and a collaborative mindset, with the ability to translate complex scientific questions into data solutions that accelerate experimentation and decision-making.
Experience streaming and event-driven integration (Kafka, MQTT, or AMQP), including instrument and laboratory data capture.
Cheminformatics or scientific data experience - compound registration, structure notation (SMILES, InChI, HELM), RDKit, multi-omics, assay, or sequencing data - is a strong plus.
Prior experience across the following: data modeling, ETL/ELT at scale, ontology development, semantic graph construction and linked data, or relational schema design.
Experience standing up, migrating, or consolidating databases and data platforms, including production cutover of systems in active use.

Your Basic Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
5+ years of data engineering experience building and operating production data systems.

Location & Work Flexibility

This role is based at our Silicon Valley Hub. We offer a flexible hybrid work model, with three days onsite and two days working remotely each week , supporting both collaboration and work‑life balance.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is

$157,500 - $231,000

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

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