Data Engineer, Aws Marketing -Marketing Tech

• 3+ years of Data Engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
The AWS Marketing Data Science and Engineering team is seeking an experienced Data Engineer to join our dynamic and innovative group. In this role, you will be responsible for designing, building, and optimizing data pipelines that power our cutting-edge marketing analytics and attribution capabilities. You will work with complex data sets, leveraging your expertise in Data Engineering to ensure high-quality, reliable, and scalable data solutions.
Key job responsibilities
Your primary responsibilities will include ingesting, transforming, and modeling sales and marketing data to enable multi-touch attribution (MTA) analysis. You will collaborate closely with cross-functional teams, including sales, marketing, and analytics, to continuously enhance our MTA measurement and insights. Additionally, you will play a crucial role in building structured data pipelines, conducting data analysis to improve MTA input, ensuring data quality for attribution models, and optimizing data systems for efficient MTA reporting.
A day in the life
To be successful in this role, you should possess strong technical skills in Data Engineering, with proficiency in AWS technologies and experience working with large-scale data sets. Excellent communication and collaboration abilities are essential, as you will work closely with various stakeholders to understand their requirements and deliver impactful solutions. You should be a self-motivated individual with a passion for problem-solving and a drive to stay up-to-date with the latest Data Engineering trends and best practices.
About the team
ABOUT AWS:
Diverse Experiences
Amazon 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s 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 and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Irvine, CA, USA | Seattle, WA, USA

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

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 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.

Health insurance