Jobs and Careers
AM
Data Engineer, Amazon Pharmacy Finance
Amazon.comUnited Statesfull_timeVerifiedPosted 19 Dec 2023
💰 $205,600/yr($105,700/yr – $205,600/yr)
About the role
Who we are:
At Amazon Health, we want to make it dramatically easier for people to get and stay healthy. We believe in the best possible health experiences for our customers, and the Amazon Health Finance team works with the business team to make this vision a reality. Have dreams of working in a start-up environment? Join the Amazon Health Finance team. If you're a builder and looking to invent - this is the place for you!
We are looking for a Data Engineer to join our team. Working within the Pharmacy Finance team, you will develop infrastructure and data platforms for the team's data and models, and build automation of key processes.
As a Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You should be an expert in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Excellent written and verbal communication skills are required as the person will work very closely with diverse teams. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
Key job responsibilities
• Design, implement, and support a platform providing secured access to large datasets.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• Tune application and query performance using profiling tools and SQL.
• Analyze and solve problems at their root, stepping back to understand the broader context.
• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
About the team
You will be joining a high-performing, fast-paced Finance team whose mission is to be the trusted strategic advisor to the business, driving profitable growth and scale through innovation. You will have a direct impact on our top and bottom line with the ability to deliver improvements for our teams. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work and you will see direct business improvements based on the results of your work.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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 $105,700/year in our lowest geographic market up to $205,600/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 co
At Amazon Health, we want to make it dramatically easier for people to get and stay healthy. We believe in the best possible health experiences for our customers, and the Amazon Health Finance team works with the business team to make this vision a reality. Have dreams of working in a start-up environment? Join the Amazon Health Finance team. If you're a builder and looking to invent - this is the place for you!
We are looking for a Data Engineer to join our team. Working within the Pharmacy Finance team, you will develop infrastructure and data platforms for the team's data and models, and build automation of key processes.
As a Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You should be an expert in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Excellent written and verbal communication skills are required as the person will work very closely with diverse teams. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
Key job responsibilities
• Design, implement, and support a platform providing secured access to large datasets.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• Tune application and query performance using profiling tools and SQL.
• Analyze and solve problems at their root, stepping back to understand the broader context.
• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
About the team
You will be joining a high-performing, fast-paced Finance team whose mission is to be the trusted strategic advisor to the business, driving profitable growth and scale through innovation. You will have a direct impact on our top and bottom line with the ability to deliver improvements for our teams. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work and you will see direct business improvements based on the results of your work.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Basic Qualifications
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
Preferred Qualifications
- 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 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 $105,700/year in our lowest geographic market up to $205,600/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 co
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s