Data Engineer, Emergency Services Unit
Data Engineer, Emergency Services Unit
Posted on :
19-05-2025
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1 Vacancy
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Job Description
The Data Engineer serves as a critical individual contributor responsible for enabling analytics for our daily operations. You are responsible for designing automating and maintaining scalable data solutions that drive operational efficiency and strategic decisionmaking. This role emphasizes crossfunctional collaboration architectural innovation and delivering actionable insights through secure highquality datasets.
Key job responsibilities
Work closely with the Business Intelligence Engineer to create robust data architectures pipelines and dashboards.
Simplify and enhance the accessibility clarity and usability of datasets through the development of advanced BI dashboards and applications.
Take ownership of the design creation and upkeep of metrics reports analyses and dashboards to inform key business decisions.
Navigate ambiguous environments by evaluating various options using both datadriven insights and business expertise.
Develop data solutions using technologies such as Python pandas SQL AWS Glue Step Functions Airtable S3 QuickSight Athena CloudWatch IAM and Git.
Create robust data models to manage and operationalize data.
Design implement and maintain endtoend data pipelines using APIs to integrate diverse data sources (Airtable Quip Slack) into S3based data lake.
Develop automated workflows via Step Functions Glue and Athena to streamline data ingestion transformation and delivery to QuickSight.
Architect and optimize the data platform to ensure scalability security and accessibility for stakeholders.
Collaborate with nontechnical stakeholders to gather requirements and translate them into technical solutions.
Provide technical guidance to peers and establish best practices for data engineering within the team.
Implement data quality checks and governance protocols to maintain dataset accuracy and compliance with security standards.
A day in the life
As part of this nimble team youll roll up your sleeves and unlock your entrepreneurial spirit to tackle complex operational challenges eliminate inefficiencies and build solutions that create outsized impact. This team works to reduce bureaucracy improve processes and create mechanisms that work within our organization.
You will balance operational support (e.g. troubleshooting pipeline issues cleaning data answering questions regarding our data or data platform) with strategic projects like delivering datasets to support the creation of new dashboards and redesigning the data platform to support evolving business requirements.
About the team
Consistent with Amazons Leadership Principles that are core to the company the ESUs mission is to assemble a team of security industry professionals who provide unique and valuable services focused on prevention deterrence rapid response and the safe resolution of highconsequence problems. We use data customer feedback and high judgement to be in the right place at the right time.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with data visualization software (e.g. AWS QuickSight Power BI Tableau) or opensource project
Strong communication skills to collaborate with technical and nontechnical stakeholders
Bachelors degree in STEM discipline
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Masters degree in STEM discipline
Experience with API integrations
Experience processing large datasets with distributed data processing frameworks (e.g. Spark)
Experience with version control systems (e.g. Git)
Possess an AWS certification (e.g. AWS Certified Solutions Architect Associate)
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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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
Work closely with the Business Intelligence Engineer to create robust data architectures pipelines and dashboards.
Simplify and enhance the accessibility clarity and usability of datasets through the development of advanced BI dashboards and applications.
Take ownership of the design creation and upkeep of metrics reports analyses and dashboards to inform key business decisions.
Navigate ambiguous environments by evaluating various options using both datadriven insights and business expertise.
Develop data solutions using technologies such as Python pandas SQL AWS Glue Step Functions Airtable S3 QuickSight Athena CloudWatch IAM and Git.
Create robust data models to manage and operationalize data.
Design implement and maintain endtoend data pipelines using APIs to integrate diverse data sources (Airtable Quip Slack) into S3based data lake.
Develop automated workflows via Step Functions Glue and Athena to streamline data ingestion transformation and delivery to QuickSight.
Architect and optimize the data platform to ensure scalability security and accessibility for stakeholders.
Collaborate with nontechnical stakeholders to gather requirements and translate them into technical solutions.
Provide technical guidance to peers and establish best practices for data engineering within the team.
Implement data quality checks and governance protocols to maintain dataset accuracy and compliance with security standards.
A day in the life
As part of this nimble team youll roll up your sleeves and unlock your entrepreneurial spirit to tackle complex operational challenges eliminate inefficiencies and build solutions that create outsized impact. This team works to reduce bureaucracy improve processes and create mechanisms that work within our organization.
You will balance operational support (e.g. troubleshooting pipeline issues cleaning data answering questions regarding our data or data platform) with strategic projects like delivering datasets to support the creation of new dashboards and redesigning the data platform to support evolving business requirements.
About the team
Consistent with Amazons Leadership Principles that are core to the company the ESUs mission is to assemble a team of security industry professionals who provide unique and valuable services focused on prevention deterrence rapid response and the safe resolution of highconsequence problems. We use data customer feedback and high judgement to be in the right place at the right time.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with data visualization software (e.g. AWS QuickSight Power BI Tableau) or opensource project
Strong communication skills to collaborate with technical and nontechnical stakeholders
Bachelors degree in STEM discipline
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Masters degree in STEM discipline
Experience with API integrations
Experience processing large datasets with distributed data processing frameworks (e.g. Spark)
Experience with version control systems (e.g. Git)
Possess an AWS certification (e.g. AWS Certified Solutions Architect Associate)
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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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