Data Engineer, Amazon Prime
Seattle, WA, USA
Full Time Mid-level / Intermediate USD 81K - 185K
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...Do you want to work with the worlds best engineers at massive scale on hard problems? Do you want to be impact over 200 million Prime members WW? Do you want to learn the latest AWS and big data technologies to build cutting-edge science products? Are you someone who likes using big data to drive high-impact business decisions? If the answer is yes, come join our team!
Key job responsibilities
- Build big data pipelines for machine learning applications at Amazon scale
- Advance the state of data engineering infrastructure on the latest tools (AWS Glue, Spark, AWS EMR, EMR Serverless, Ray etc...)
- Improve and raise the bar on proactive data quality monitoring and alarming (e.g., anomaly detection) across big data pipelines
- Work alongside science to enhance data pipelines that feed models improving the customer experience of over 200MM customers world wide.
A day in the life
As a data engineer on this team, you will collaborate closely with Prime business leaders, scientists (economists, research scientists, applied scientists) and engineering leaders to build data solutions. You will leverage AWS technologies (EMR, EC2, S3, GLUE, KMS, Lambda, DynamoDB, etc.) to build novel systems and tackle challenges at scale. You will manipulate and process TB-sized data, supporting real-time access and orchestration across multiple systems. Your work will enhance our scientific models and data applications. As a consequence, you will have global impact, improving customer experiences for Prime members worldwide. As a successful candidate, you will successfully interact with both technical and business stakeholders.
About the team
Our team has a vision to enable Prime Science to be adopted WW across Amazon so as to drive the best possible customer experience. We set and raise engineering excellence standards in Amazon for science-based products. We are a unique team as we sit at the intersection of building engineering systems at Amazon scale and availability, incorporating the latest science (econometrics, ML, AI etc...), and delivering cross-cutting applications to delight over 200 million customers. Building and our science products at-scale and in real-time, creates interesting new data engineering challenges. These give a person in this role a head start in solving artificial intelligence challenges that will be ubiquitous 3-5 years from now.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Basic Qualifications
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Knowledge of AWS Infrastructure
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $81,000/year in our lowest geographic market up to $185,000/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.
Tags: AWS AWS Glue Big Data CX Data pipelines Data quality DDL DynamoDB EC2 Econometrics Economics Engineering ETL Hadoop HiveQL Lambda Machine Learning Pipelines Python R&D Research Scala Spark SQL
Perks/benefits: Career development Equity Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Marketing Data Analyst jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs