Data engineer jobs in the United States

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

Counted Oct 30, 2026

Hiring at a glance

View jobs

Open jobs: 4,309
Employers: 1,962

Advertised starting pay

Average starting payUSD / year: $127,865Across 739 listings
Average starting payUSD / hour: $60.64Across 465 listings

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

Where work happens

Remote: 13%558 listings
Hybrid: 7%289 listings
On-site: 8%342 listings

Not specified: 72% (3,120 listings)

Employers hiring include Eliassen Group (253), Insight Global (70), Booz Allen Hamilton_United States (69).

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 12 mins ago
EG
Senior Data Engineer
Eliassen Group
Oklahoma City, OK
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 22 mins ago
EG
Senior Data Engineer
Eliassen Group
Saint Paul, MN
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 29 mins ago
I
Senior Collections Data Engineer (US-Remote)
iCOUNTER
Remote, United States
- $140,000 to $180,000 USD / year
Added 32 mins ago
VI
Senior Data Engineer, Data Products & Platforms
Vizient, Inc.
Centennial, CO
- $31,533 USD / year
Added 41 mins ago
EG
Senior Data Engineer
Eliassen Group
Salt Lake City, UT
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 52 mins ago
AI Data Engineer I, Professional Services, Google Cloud
Google
Atlanta, GA
Share AI Data Engineer I, Professional Services, Google Cloud
Added 52 mins ago
EG
Senior Data Engineer
Eliassen Group
Atlanta, GA
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 1 hour ago
Data Engineer, Vice President
Sumitomo Mitsui Banking Corporation
Charlotte, NC
Added 1 hour ago
Data Engineer Astronomer
Pinnacle Bank, a Tennessee bank, d/b/a Synovus Bank
Atlanta, GA · Roswell, GA
Added 1 hour ago
M
Data Engineer, NPI Supply Chain
ManpowerGroup
South San Francisco, CA
- $75 to $90 USD / hour
Our client, Data & AI Operations is seeking a Data Engineer, NPI Supply Chain - Sunnyvale, CA to join their team. As a Data Engineer, NPI Supply Chain - Sunnyvale, CA, you will be part of…
Added 1 hour ago
Data Engineer, Ring Agent Platforms
Amazon
Hawthorne, CA
We are looking for a Data Engineer to design, build, and operate the data pipelines, models, and platform infrastructure that power Ring's analytics, science, and AI initiatives. You will…
Added 1 hour ago
EG
Senior Data Engineer
Eliassen Group
Sacramento, CA
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 1 hour ago
EG
Senior Data Engineer
Eliassen Group
Olympia, WA
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 1 hour ago
Data Engineer
State of Nebraska
Lincoln, NE
DHHS Data Office is seeking a Data Engineer to join our Data & Analytics team and help build the data infrastructure that powers insights across the organization. In this role, you will…
Added 1 hour ago
Data Engineer
Mindex
Rochester, NY
Mindex is looking for a Data Engineer to build the data pipelines, models, and warehouse structures behind SchoolTool’s interactive dashboards and analytics. You’ll work with the product…
Added 2 hours ago
Databricks Data Engineer, Risk Technology
CIBC
Chicago, IL
Added 2 hours ago
EH
Data Engineer (Business Information Developer Consultant Senior)
Elevance Health
Chicago, IL
- $120,720 to $199,188 USD / year
Added 2 hours ago
Cloud AI Data Engineer II, Professional Services, Google Cloud
Google
Chicago, IL
Share Cloud AI Data Engineer II, Professional Services, Google Cloud
Added 2 hours ago
EG
Senior Data Engineer
Eliassen Group
Springfield, IL
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 2 hours ago
IG
REMOTE Sr Data Engineer
Insight Global
Remote, United States
- From $74 USD / hour
-5+ years of experience as a Data Engineer building and supporting production data pipelines, data modeling, data transformations and data optimization
Added 2 hours ago
Data Engineer
AirLife
Grand Rapids, MI
Added 2 hours ago
EG
Senior Data Engineer
Eliassen Group
Topeka, KS
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 2 hours ago
EG
Senior Data Engineer
Eliassen Group
Salem, OR
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 2 hours ago
Lead Data Engineer - Data Engineering 4C
Genpact LLC
Jacksonville, FL
Added 2 hours ago
Manager, Ignition Data Engineer (Tax)
KPMG LLP
NEW YORK, NY

Amazon Development Center U.S., Inc.

Data Engineer II, AWS Analytics Engineering

Seattle, WA, United States

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Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 29, 2026

Original job description

We are seeking a talented Data Engineer to join our EC2 + EBS + Networking Product BI team. You will own end-to-end analytics for one or more Compute service areas - building and monitoring ETL pipelines, delivering executive reports, creating metrics and callouts on service performance, and producing deep-dive analyses that shape product roadmaps for services used by millions of AWS customers worldwide.

Key job responsibilities

ETL Monitoring & Pipeline Operations: Own the reliability and timeliness of 200+ data pipelines serving executive-facing reports. Today, the team uses automated alarms for real-time monitoring and AI-powered agents that self-heal failures and triage tasks - you will maintain and extend this system using Redshift, orchestration frameworks, and AWS data services.
Report Delivery & Business Reviews: Own and operate Weekly/Daily Business Review (WBR/DBR) reporting for EC2 services, ensuring accurate, timely delivery to CEO/S-Team and VP-level stakeholders. Today, report generation, validation, and delivery are automated via LLMs - you will operate and improve these workflows.
Callout Generation: Generate callouts on service performance - identifying week-over-week trends, anomalies, and key drivers to surface in executive reviews. Today, callout generation across all 9 services is LLM-automated - you will own the quality bar and continuously improve prompt and pipeline accuracy.
Data Ingestion & Metric Creation: Ingest new data sources and build metrics that track business health (usage, capacity, adoption, customer growth). Today, the team maintains scalable ETL pipelines in Redshift with workflow orchestration - you will ensure metrics remain sustainable, reproducible, and available on demand.
Analysis & Deep Dives: Conduct deep-dive analyses for Product Managers, Sales, and Finance teams. Today, the team uses a proprietary analytics platform with governed SOPs, stored context, and pre-built queries - enabling any stakeholder to deep-dive with technical depth and reproducibility. You will author and maintain these SOPs and analyses.
Dashboard Development: Design, build, and maintain interactive dashboards (QuickSight, Weave) covering product trends, customer growth, instance utilization, and feature adoption. Today, dashboards serve 100+ Product Managers across 11 engagement areas - you will own dashboards for your service areas and improve self-serve capabilities.
Stakeholder Partnership: Work closely with Product Managers, service finance teams, and cross-functional partners to translate business questions into data products and present findings to senior leaders. Today, the team partners across EC2, Networking, and Compute product families - you will be the primary analytics point of contact for your assigned service areas.

About the team We are the EC2 + Networking Product BI team within AWS Analytics & Engineering (AAE). We serve as the data and analytics partner for Amazon Elastic Compute Cloud (EC2), Networking Services, and adjacent Compute product families - supporting 100+ Product Managers across 11 engagement areas.

Our core work includes:

ETL Pipeline Monitoring & Operations: We build and operate 200+ data pipelines that ingest, transform, and serve petabyte-scale datasets across EC2, Networking, and Compute services. Reliability and timeliness are critical - our reports feed directly into CEO/S-Team weekly reviews. We use automated alarms for real-time pipeline monitoring and AI-powered agents to self-heal failures and triage tasks, minimizing manual intervention at this scale.
Report Delivery & Callout Generation: We deliver Weekly and Daily Business Review (WBR/DBR) reports across 9 Compute services (EC2 Core, Gen AI, EBS, Bedrock, SageMaker, ECS, EKS, ECR, Lambda), generating callouts on service performance that inform executive decision-making. Report generation, validation, and callout generation are all done via LLMs - enabling consistent quality, accuracy, and speed at scale.
Data Ingestion & Metric Creation: We design and maintain metrics that track business health - usage, capacity, adoption, customer growth - ensuring they are sustainable, reproducible, and available on demand.
Analysis & Deep Dives: We produce analyses for Product Managers, Sales, and Finance teams using our proprietary analytics platform where governed SOPs, context, and prior work live. These SOPs help all PMs, Sales, and Finance stakeholders deep-dive with governed data, technical depth, and the right queries - enabling reproducibility and easy follow-ups across the organization. Everything we build is designed to be sustainable, reproducible, and available on demand - so any team member can pick up, extend, or re-run work without starting from scratch. Basic qualifications
3+ years of data engineering experience
3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
3+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
3+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
3+ years of in the job offered or a related occupation experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
Experience with data modeling, warehousing and building ETL pipelines 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)

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

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More about this job

Skills

AWS
Google Analytics
Data engineering
Amazon Redshift
Reporting
Workflow
Sales
Decision making
Business intelligence
Data modelling
SQL
Oracle
Computer science
Warehouse operations
EMR
Identity and access management
Recruitment
Mental health

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