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Senior Amazon Data Engineer Jobs (NOW HIRING)

Amazon

Data Engineer, Amazon Ads

New York, NY

$125K - $150K/yr

We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 5+ years architecting ... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ...

Amazon

Data Engineer, Amazon Ads

New York, NY

$125K - $150K/yr

We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 5+ years architecting ... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ...

Amazon

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 5+ years architecting ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

The Giant Bullseye

Senior Amazon Connect Engineer

New York, NY · On-site

$60.50 - $78/hr

We are seeking a Senior Amazon Connect Engineer to lead the design, development, and delivery of modern cloud-based contact center solutions leveraging Amazon Connect and related AWS services. This ...

Amazon

Data Engineer II- AMZ26497.1

Seattle, WA · On-site

$144K - $178K/yr

Amazon Data Services, Inc. Position: Data Engineer II Location: Seattle, WA Multiple Positions Available: Design, develop, implement, test, document, and operate large-scale, high-volume, high ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Saint Louis, MO · On-site

$111K - $133K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Saint Louis, MO · On-site

$111K - $133K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

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Senior Amazon Data Engineer information

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$81K

$126.3K

$175K

How much do senior amazon data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for senior amazon data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

How much does a senior data engineer make at Amazon?

A senior data engineer at Amazon typically earns between $120,000 and $180,000 annually, depending on experience, location, and specific team. Compensation may also include bonuses and stock options, with proficiency in tools like AWS and SQL often required.

What engineer makes $500,000 a year?

Senior Amazon Data Engineers can earn $500,000 or more annually, especially with extensive experience, specialized skills in big data tools like Spark and Hadoop, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, reflecting their critical role in managing large-scale data infrastructure.

What are the key skills and qualifications needed to thrive as a Senior Amazon Data Engineer, and why are they important?

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What does a Senior Amazon Data Engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

How much does a L4 data engineer make at Amazon?

A Level 4 (L4) data engineer at Amazon typically earns between $100,000 and $130,000 annually, depending on experience and location. Compensation may also include bonuses and stock options, with roles requiring proficiency in data pipelines, SQL, and cloud tools like AWS.

What are some common challenges faced by Senior Amazon Data Engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

What is the salary of l5 data engineer in Amazon?

An L5 Data Engineer at Amazon typically earns a base salary ranging from $120,000 to $160,000 annually, depending on experience and location. Total compensation often includes bonuses and stock options, reflecting Amazon's competitive pay structure for senior technical roles.
More about Senior Amazon Data Engineer jobs
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Senior Amazon Data Engineer jobs near you
Infographic showing various Senior Amazon Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Data Engineer, Amazon Ads

Data Engineer, Amazon Ads

Amazon

New York, NY

$125K - $150K/yr

Full-time

Posted 15 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,863 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

This is a ground-up, greenfield build - Finance for one of Amazon Ads' newest bets in the agentic space. No legacy pipelines, no inherited dashboards, no pattern to follow. If you're energized by shaping data infrastructure from zero to one inside a fast-moving org, keep reading.
What we're building:
- A finance data platform powering the FAIM org (Full-Funnel Agentic Intelligence & Models) - the team building the next generation of agentic AI advertising products
- Pipelines and models that turn raw data into decisions for greenfield products
- Self-service reporting that scales spanning Engineering, Science, PM-T, and Design across multiple AI native advertising products
This is a startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time.
We're looking for a senior Data Engineer who brings:
- Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale
- Hands-on depth with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and QuickSight (SPICE)
- Strong dimensional data modeling judgment - fact/dim design, SCDs, and the experience to make the right denormalization, partitioning, and lifecycle calls without supervision
- Python (or equivalent) for orchestration, data quality automation, and pipeline tooling beyond SQL
- A willingness to set the bar - define data quality, lineage, SLA, and reliability standards for the org and hold the line on them
- The ability to operate in ambiguity - turn open-ended finance and program questions into durable data products with minimal scoping help
- Excitement about leading the data partnership with Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the team grows
- AI-native experience for automation and defect/opportunity identification using tools such as Kiro, Claude Code, or equivalent
Key job responsibilities
- Own it end-to-end - set the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layer
- Build the tools - architect and operate Datanet/ETLM jobs, Cradle profiles, Andes datasets, and dashboards that finance partners trust as source of truth
- Land the data - integrate telemetry from across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean, query-ready layer
- Move fast - deliver on OP1/OP2 cycles, MBR/QBR rhythms, and ad-hoc executive asks with bias for action
- Simplify complexity - turn messy, multi-source data into well-documented dimensional models that scale with the org
- Raise the bar - drive code and design reviews and set data quality and pipeline reliability standards

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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