Senior Data Engineer, Amazon Logistics
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
High value score due to the centralized role in optimizing Amazon's logistics operations with significant financial implications for the company.
- Critical role in managing and optimizing data for logistics.
- Opportunity to work with cutting-edge technology.
- Strong growth potential within data engineering.
Pros
- Opportunity to influence major logistics operations.
- Diverse work with advanced technologies in data engineering.
- Strong emphasis on career growth and mentoring.
Cons
- Roles may demand high responsibility with commensurate pressures.
- Complex projects can be demanding.
- Potential for high demands in terms of data volume management.
Who it's for
Mid to Senior level • Flexibility with some onsite collaboration
Good fit
- Experienced data engineers with a focus on large datasets.
- Individuals comfortable in dynamic environments.
- Professionals eager to take on complex data challenges.
Not recommended for
- Entry-level individuals without data engineering knowledge.
- Candidates preferring non-technical roles.
- Those uncomfortable with high levels of responsibility.
Motivation fit
Key skills
About the job
DESCRIPTION
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner.
Amazon seeks a passionate, results-oriented, Data Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. We strive to solve complex cost and cycle time optimization problems that no one has solved yet. Are you up for the challenge and ready to further develop your skills and long-term career? Look no further.
As an Amazon.com Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. This individual should have deep expertise in the design, creation, management, and business use of extremely large datasets. This high impact role will have an opportunity to help design, build and scale our data infrastructure from the ground up, work with emerging technologies such as Redshift, Kinesis, Lambda, EMR etc while driving business intelligence solutions end-to-end. They should be an expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. This individual should also be able to work with business customers in understanding the business requirements and implementing reporting solutions. The role requires someone who loves data, understands enterprise information systems, and has a strong business sense.
Responsibilities include:
- Own the data engineering space for Amazon logistics by working with teams in reviewing existing architecture, recommending best practices in DW and databases
- Work with in-house scientists, global supply chain, transportation and logistics teams, and software teams to identify new features and projects
- Work with native AWS pipelines to build scalable daily, intraday and realtime/streaming datasets
- Constantly innovate and improve on existing services that transfer data from one systems to another
- This is an individual contributor role with potential to become a people manager in the future that will manage a team of 4-5 DEs and partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
Key job responsibilities
1 - Build complex ETL pipelines ranging from D-1 to streaming data loads in native AWS
2 - Automate adhoc data processes in AMZL BI and tech community
3 - Review and improve existing last mile data architecture
4 - Train and Mentor other junior Data Engineers
BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
