Data Engineer, Deal Intelligence & Automation, AWS GDSP

Amazon Web Services (AWS); Santa Monica (CA); On-site; USD 155,000 - 209,000; Full time

Benefits offered by this job

Sign-on payments and RSUs

Health insurance (medical, dental, vis

EAP and Mental Health Support

Flexible Spending Accounts

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) GDSP is seeking a data engineer to design, build, and operate backend data infrastructure for analytical and visualization platforms in Santa Monica. You will partner with product management to translate business problems into data requirements and leverage AWS services and generative AI to deliver scalable data products.

The role focuses on clean data, scalable pipelines, and operational health, enabling downstream analytics and visualization with self-service

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with SQL.
• Experience with at least one modern scripting or programming language (Python, Java, Scala, or NodeJS).
• Experience mentoring team members on best practices.

Responsibilities

• Design, build, and maintain backend data infrastructure for analytical and visualization platforms.
• Translate business problems into data requirements with product management.
• Automate and optimize reporting processes for self-service analytics at scale.
• Create measurement frameworks and metrics to quantify deal execution performance and health.
• Maintain data quality via monitoring, validation, auditing, and documentation of pipelines.
• Use AWS services and generative AI to build next-generation data solutions.

Skills

Data engineering

SQL

Programming languages

Mentoring

Tools

Hadoop

Hive

Spark

EMR

Job description

Amazon Web Services (AWS) GDSP is building products that support how GDSP operates, with a strong focus on clear, reliable, and scalable reporting and tooling. In this role, you will design, build, and operate backend data infrastructure, pipelines, data models, and platforms that enable deal intelligence and automation, supporting downstream analytics and visualization.

You will work closely with product management and engineering teams to turn business problem statements into technical data requirements, then use AWS services and generative AI to deliver clean, fresh, accurate, and scalable data products. The goal is to improve efficiency and unlock new analytical capabilities while quantifying deal execution performance and operational health.

What you’ll do

• Design, build, and maintain backend data infrastructure for analytical and visualization platforms, ensuring data is clean, fresh, and optimized for downstream consumption
• Translate business problem statements into technical data requirements by partnering with product management and stakeholders to define data products to build
• Automate and optimize reporting processes to support self-service analytics at scale and reduce manual effort
• Create measurement frameworks and metrics to quantify deal execution performance and operational health
• Maintain data quality through monitoring, validation, auditing, and documentation of pipelines and data sources
• Use AWS services and generative AI to build next-generation data solutions that improve efficiency and analytical capabilities

Required qualifications

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with SQL
• Experience with at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices

Technologies you may work with

• SQL, Python, Java, Scala, NodeJS
• Hadoop, Hive, Spark, EMR

Compensation and location

• Location: Santa Monica, CA (onsite)
• Salary: USD 154,600 - 209,100 per year
• Experience level: 5+ years

Benefits

• Sign-on payments and restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D, and option for Supplemental life plans)
• EAP and Mental Health Support, plus a Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

AWS values diverse experiences. Even if you do not meet all skills or preferred qualifications listed in the job description, candidates are encouraged to apply.