Data Engineer, Speed Products, Science and Analytics
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Job Location:
Bellevue, WA - USA
Yearly Salary:
$ 118900 - 205600
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
As a Data Engineer you will be working in one of the worlds largest and most complex data warehouse environments. You will design implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources aggregate and retrieve data in a fast and safe mode curate data that can be used in reporting analysis machine learning models and ad-hoc data requests. You will be managing multiple Redshift clusters that support reporting needs for the transportation org. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements design data infrastructure build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies investigating and implementing where appropriate.
Key job responsibilities
- Design and develop the pipelines required for optimal extraction transformation and loading of data from a wide variety of data sources using SQL Python and AWS big data technologies.
- Oversee and continually improve production operations including optimizing data delivery re-designing infrastructure for greater scalability code deployments bug fixes and overall release management and coordination.
- Establish and maintain best practices for the design development and support of data integration solutions including documentation.
- Work closely with Product teams Data Scientists Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.
- Able to read write and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled code reviewed etc.)
- Experience as a Data Engineer or in a similar role
- Knowledge of distributed systems as it pertains to data storage and computing
- Bachelors degree
- 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 for more information. If the country/region youre applying in isnt 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 $118900/year in our lowest geographic market up to $205600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
- Design and develop the pipelines required for optimal extraction transformation and loading of data from a wide variety of data sources using SQL Python and AWS big data technologies.
- Oversee and continually improve production operations including optimizing data delivery re-designing infrastructure for greater scalability code deployments bug fixes and overall release management and coordination.
- Establish and maintain best practices for the design development and support of data integration solutions including documentation.
- Work closely with Product teams Data Scientists Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.
- Able to read write and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled code reviewed etc.)
- Experience as a Data Engineer or in a similar role
- Knowledge of distributed systems as it pertains to data storage and computing
- Bachelors degree
- 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 for more information. If the country/region youre applying in isnt 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 $118900/year in our lowest geographic market up to $205600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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