Data Engineer I, Data Science Engineering, AWS Marketing
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Within AWS Marketing the Data Science Engineering (D:SE) team builds and operates the marketing data platform that fuels attribution models ROI measurement customer journey analytics and campaign optimization enabling multi-billion dollar marketing investment decisions. Team powers AWS Marketing with a world-class marketing data model and science solutions as a service leveraging GenAI.
Were looking for a Data Engineer to help us build and scale our next-generation marketing data infrastructure (Jarvis 2.0) and GenAI initiatives. Youll work with a serverless AWS-native stack i.e. Redshift S3 Glue Lambda SageMaker Step Functions SNS CloudWatch and more to deliver the unified marketing data model that serves new GenAI initiatives measurement scientists marketing analysts and downstream APIs across AWS Marketing.
Youll join a tight high-impact team of data engineers ML engineers and applied scientists solving problems at the intersection of marketing analytics data science enablement and platform engineering. Youll experience a culture that values ownership cross-functional collaboration and data-driven decision making.
Key job responsibilities
- Develop and maintain automated ETL/ELT pipelines (with monitoring and alerting) using Python Spark SQL and AWS services (S3 Glue Lambda Step Functions SNS SQS CloudWatch).
- Build and optimize the Gold data sets in marketing data model designing fact and dimension tables that unify customer journey web analytics campaign revenue and attribution data at enterprise scale.
- Develop and optimize Redshift and data lake tables using best practices for DDL physical/logical modeling data partitioning compression and query performance tuning.
- Build and maintain data quality frameworks validation reconciliation anomaly detection to ensure trusted reliable data for downstream science and analytics consumers.
- Develop and maintain data security access controls encryption and permissions for enterprise-scale data warehouse and data lake implementations.
- Maintain data catalogs metadata lineage documentation and self-service tooling for internal marketing and science consumers.
- Partner with measurement scientists marketing analysts and cross-functional engineering teams to gather requirements and deliver data solutions that directly inform marketing investment strategy.
- Contribute to API-first data delivery patterns enabling science-as-a-service consumption of marketing data assets.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Bachelors degree in Computer Science Computer Engineering Information Management Information Systems or other related discipline
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
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.
Were looking for a Data Engineer to help us build and scale our next-generation marketing data infrastructure (Jarvis 2.0) and GenAI initiatives. Youll work with a serverless AWS-native stack i.e. Redshift S3 Glue Lambda SageMaker Step Functions SNS CloudWatch and more to deliver the unified marketing data model that serves new GenAI initiatives measurement scientists marketing analysts and downstream APIs across AWS Marketing.
Youll join a tight high-impact team of data engineers ML engineers and applied scientists solving problems at the intersection of marketing analytics data science enablement and platform engineering. Youll experience a culture that values ownership cross-functional collaboration and data-driven decision making.
Key job responsibilities
- Develop and maintain automated ETL/ELT pipelines (with monitoring and alerting) using Python Spark SQL and AWS services (S3 Glue Lambda Step Functions SNS SQS CloudWatch).
- Build and optimize the Gold data sets in marketing data model designing fact and dimension tables that unify customer journey web analytics campaign revenue and attribution data at enterprise scale.
- Develop and optimize Redshift and data lake tables using best practices for DDL physical/logical modeling data partitioning compression and query performance tuning.
- Build and maintain data quality frameworks validation reconciliation anomaly detection to ensure trusted reliable data for downstream science and analytics consumers.
- Develop and maintain data security access controls encryption and permissions for enterprise-scale data warehouse and data lake implementations.
- Maintain data catalogs metadata lineage documentation and self-service tooling for internal marketing and science consumers.
- Partner with measurement scientists marketing analysts and cross-functional engineering teams to gather requirements and deliver data solutions that directly inform marketing investment strategy.
- Contribute to API-first data delivery patterns enabling science-as-a-service consumption of marketing data assets.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Bachelors degree in Computer Science Computer Engineering Information Management Information Systems or other related discipline
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
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.
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 WA Seattle - 101300.00 - 160000.00 USD annually
Required Experience:
IC
Key Skills
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