Senior Data Engineer, WW Ops Finance - S&A

Amazon is hiring a Senior Data Engineer, WW Ops Finance - S&A. It pays $155k-$209k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this data engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Pay on this posting starts 6% higher than the typical data engineer posting on Level.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights? Are you adept at implementing data governance practices and defining data access and quality standards? If you thrive in innovation and can deliver scalable Data Engineering Solutions, then the Worldwide Operations Finance Standardization & Automation (SnA) team has an exciting opportunity for you! We are seeking a customer-centric Senior Data Engineer to establish a reliable and accessible data platform, ensuring Operations Finance customers have complete trust in the data, technology, and tools to make data-driven business decisions.

As a Senior Data Engineer in WW S&A, you will be working in one of the world's largest and most complex data ecosystems. You will design, build, and own scalable data domains that serve as the foundational layer for the business. In this role, you will architect and implement robust, well-governed data domain models that integrate multi-heterogeneous data sources, enabling seamless consumption across a wide spectrum of use cases - including real-time and batch analytics, interactive dashboards and reporting, machine learning and predictive modeling, operational automation, API-driven data services, self-service exploration, and ad-hoc data requests. As a Sr. DE, you will define domain boundaries, establish data contracts, and curate high-quality, discoverable datasets that empower cross-functional teams to derive insights quickly and reliably, while ensuring data is aggregated, retrieved, and served in a fast, secure, and scalable manner across all consumption patterns. You should have excellent business and communication skills to be able to work with business owners, Product teams and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be responsible for designing, developing, and operating a data service platform using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components. You’ll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more.

Key job responsibilities
Key job responsibilities

- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Python, SQL and AWS big data technologies.
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies of the team.
Designing and implementing complex pipelines and other Data Engineering solutions.
- Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data.
- Create extensible designs and easy to maintain solutions with the long term vision in mind
- Improve tools, processes, scale existing solutions, create new solutions as required based on team and stakeholder needs
- Familiar with AI Delivery Life Cycle (DLC), contributing to the end-to-end process of delivering AI-powered solutions - from ideation and data preparation through model development, deployment, monitoring, and iteration.

Basic qualifications

- 7+ 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
- Experience building data products incrementally and integrating and managing data sets from multiple sources

Preferred qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Knowledge of large scale automation and workflow management or equivalent

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, TX, Irving - 154,600.00 - 209,100.00 USD annually
USA, WA, Bellevue - 154,600.00 - 209,100.00 USD annually

How we rate this

Senior Data Engineer, WW Ops Finance - S&A at Amazon rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.