Data engineer jobs in the United States (4,654 jobs)

Find data engineer jobs across the United States. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 4,654
Employers: 2,065

Advertised starting pay

Average starting payUSD / year: $125,646Across 815 listings
Average starting payUSD / hour: $61.55Across 488 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 12%564 listings
Hybrid: 6%291 listings
On-site: 8%380 listings

Not specified: 73% (3,419 listings)

Employers hiring include Eliassen Group (321), Booz Allen Hamilton_United States (71), Insight Global (64).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in the United States

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Added 21 days ago
Data Engineer, DevOps
Allness Inc
South San Francisco, CA
We have partnered with a large biotechnology company in the South San Francisco, CA area to provide them with a Data Engineer, DevOps.
Added 21 days ago
Junior Data Engineer
Zel Technologies
Charlottesville, VA
In this role, you will provide critical technical support for data informatics, management, and curation of data sets containing diverse scientific reports and information. Working on-site…
Added 21 days ago
Senior Data Engineer
Allstate Insurance Co.
Remote, United States
This role is responsible for the design of data infrastr
Added 21 days ago
Lead Data Engineer
ARKANCE USA LLC (USA)
Remote, United States
Added 21 days ago
Data Engineer
MakroTech
Santa Clara, CA
Expertise in Python programming, including experience with data analysis libraries such as NumPy, and Pandas.
Added 21 days ago
Senior Data Engineer (Credit Risk / Financial Domain)
GovServicesHub
New York, NY
Added 21 days ago
Q
Data Engineer – Databricks & Snowflake
qbytelabs
Remote, United States
- $125,000 to $135,000 USD / year
Job Title Data Engineer – Databricks & Snowflake
Added 21 days ago
AWS Data Engineer
GovServicesHub
Phoenix, AZ
experience in building logstash pipeline for a high-volume data flow.
Added 21 days ago
Data Engineer
GovServicesHub
North Smithfield, RI
seeking a highly motivated Data Engineer responsible for designing, building,
Added 21 days ago
Data Engineer
GovServicesHub
Durham, NC
Added 21 days ago
Data Engineer 2 - Guidewire
GREATER NEW YORK MUTUAL INSURANCE COMPANY
EDISON, NJ
Position Summary: Data Engineer with previous experience in the insurance domain, design, build, and maintain scalable data pipelines and models that power analytics and Generative AI…
Added 21 days ago
PG
Data Engineer
Probably Genetic
San Francisco, CA
- $127,000 to $195,000 USD / year
Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch…
Added 21 days ago
T
Data Engineer
Tilly's
Irvine, CA
- $100,000 to $120,000 USD / year
Added 21 days ago
NCBI Data Engineer
Ariadne
Bethesda, MD
Ariadne is searching for a Data Engineer to support our work at the at the National Institutes of Health (NIH). This opportunity is full time at the NIH in Bethesda, MD and/or remote work.
Added 21 days ago
Palantir Data Engineer
NewGen Technologies
Chantilly, VA
The Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. They will be responsible…
Added 21 days ago
AWS Data Engineer
NewGen Technologies
Herndon, VA
Design and implement a secure AWS data store and supporting serverless components for an enterprise financial workflow. Develop DynamoDB access patterns, security controls, monitoring,…
Added 21 days ago
Data Analyst/Data Engineer (Healthcare) (69269)
PRIORITY MANAGEMENT
Dallas, TX
Priority Management Group is seeking a Data Engineer with strong analytics capabilities to help build and scale our internal data infrastructure. This role will play a critical part in…
Added 21 days ago
DevOps/Data Engineer
Pivotal Solutions, Inc.
Fargo, ND
Oversee the maintenance and growth of our data lakehouse infrastructure and implementation
Added 21 days ago
AI Data Engineer
Syracuse University
Syracuse, NY
Added 21 days ago
Senior Data Engineer
Arturo Intelligence Inc
South Jordan, UT
Manage the interface between our AI systems and the input data they need to operate via streaming systems, storage systems, and caching systems
Added 21 days ago
VI
Data Engineer
Vital IT Services
Allen, TX
- $85,000 to $115,000 USD / year
To design, build, and maintain highly reliable data pipelines, storage systems, and transformational schemas; ensuring that secure, clean, and optimized data flows continuously across all…
Added 21 days ago
Sr. Data Engineer/Architect (Databricks, DBT, Snowflake, PySpark, Unity Catalog) - 100% Remote - AS
Central Business Solutions, Inc
Remote, United States
1. Ingest and process data from Salesforce (Investments), Dynamics 365 & Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education).
Added 21 days ago
Principal Data Engineer – AWS Cloud | Irvine, CA | 100% Onsite | Long Term Contract - AS
Central Business Solutions, Inc
Irvine, CA
Job Title: Principal Data Engineer – AWS Cloud
Added 21 days ago
Principal Data Engineer – (Hadoop/Big Data, AWS, Python, Kinesis) - Irvine, CA - Onsite - Contract to Hire - AS
Central Business Solutions, Inc
Irvine, CA
Position: Senior Data Engineer – (Hadoop/Big Data, AWS, Python, Kinesis)
Added 21 days ago
Principal Data Engineer (Python, AWS, Redshift, EMR, Airflow, Databricks, Big data) | Contract to Hire | Irvine, CA (Hybrid) |
Central Business Solutions, Inc
Irvine, CA
Title: Principal Data Engineer (Python, AWS, Redshift, EMR, Airflow, Databricks, Big-data)

Amazon.com Services LLC

Data Engineer, Amazon Prime

Seattle, WA, United States

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Applications open in a new tab.

Job details

Experience: 3+ years of data engineering experience
Posting language: English
Posted: Oct 15, 2026

Original job description

Amazon Prime's Member Experience organization leads Research & Development for Amazon Prime. The program serves over 300 million members across 25 countries and is key to Amazon's customer growth and engagement. We build algorithms and systems for automated marketing, personalization, targeting, and decisioning using Artificial Intelligence and Economics. Within the engineering group, we develop world-class solutions to complex scientific and engineering problems at Amazon scale. You will work alongside world-class scientists to build a suite of fully automated, scalable, and robust products driven by the data systems you develop.

As Prime expands its science-driven capabilities globally, we are growing the engineering team to meet increasing demand for reliable, high-throughput data infrastructure. Do you want to work with Amazon's best engineers on hard problems at massive scale? Do you want to impact over 300 million Prime members worldwide? Are you someone who likes using big data to drive high-impact business decisions? If so, come join our team!

Key job responsibilities Build and maintain big data pipelines for machine learning applications at Amazon scale, ensuring stability and performance across terabyte-sized datasets Advance data engineering infrastructure using tools such as AWS Glue, Spark, Amazon EMR, and EMR Serverless to support science and analytics workloads Design and implement proactive data quality monitoring and alerting (e.g., anomaly detection) across production pipelines to safeguard downstream models Collaborate with scientists and analysts to create coherent data models and analysis-ready datasets that improve the customer experience for over 300 million members worldwide Evaluate and integrate generative AI tools where appropriate to automate data workflows and improve team productivity

A day in the life You will collaborate closely with Prime business leaders, scientists (economists, research scientists, applied scientists), and engineering leaders to build data solutions. You will work with AWS technologies such as Amazon EMR, Amazon S3, AWS Glue, AWS Lambda, and Amazon DynamoDB to process terabyte-scale data and support real-time access and orchestration across multiple systems. Your work will directly enhance scientific models and data applications that shape the Prime member experience globally. You will also participate in code reviews, design discussions, and team planning alongside both technical and business stakeholders.

About the team The Prime Member Experience engineering team sits at the intersection of large-scale engineering systems and applied science ,econometrics, machine learning, and AI delivering applications that reach over 300 million customers. Our team includes data engineers, software engineers, and scientists who partner closely to build and operate real-time science products. We are focused on enabling Prime Science adoption worldwide across Amazon, and the growing complexity of our real-time data products creates data engineering challenges that give you hands-on experience with problems the broader industry will face in the years ahead. Basic qualifications

3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred qualifications
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

Apply About employer

More about this job

Skills

Research
Data engineering
AWS
Apache Spark
EMR
Amazon DynamoDB
Scientific modelling
Data modelling
Warehouse operations
Business intelligence
Software development
Python
Oracle Java
Scala
Amazon Redshift
Identity and access management
Recruitment
Mental health

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