Data Engineer, SMGS Business Insights and Operations

Amazon • Seattle, WA

17d

About The Position

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.

At Amazon, we're working to be Earth's most customer-centric Company and Earth's
Best Employer. To get there, we need exceptionally talented, bright, and driven
people. Within AWS, the Business Insights and Operations team serves as a
central business operations and analytics function that supports the AWS
Industries organization with actionable insights, data, and dashboards to gauge
performance and refine our strategy. We also work closely with business
operations and engineering teams in planning, designing, executing, and
implementing data solutions, automating mechanisms, and driving business
cadences. We are seeking an experienced Data Engineer to design, build, and
maintain scalable data pipelines and infrastructure that power our data-driven
organization. Candidates should have advanced data engineering skills and
experience building solutions that can scale across large, complex datasets.
Beyond data engineering expertise, the ideal candidate would also have broad
technical skills including SQL proficiency, Python development, ETL/ELT design,
and experience working with AWS data services.

Our team is dedicated to supporting new members. We have a broad mix of
experience levels and tenures, and we're building an environment that celebrates
knowledge sharing and mentorship. We care about your career growth and strive to
assign projects based on what will help each team member develop into a
better-rounded professional and enable them to take on more complex tasks in the
future.

Requirements

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Bachelor's Degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience
• 5+ years of designing and implementing data pipelines and ETL/ELT processes
• Experience with SQL, Advanced SQL scripting
• Experience with Python development for data engineering

Nice To Haves

• Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
• Experience with AWS data services (EMR, Redshift, Glue, S3, Lambda or equivalent)
• Familiarity with AI technologies (FM, MCP server, Quicksuite)
• Experience with data governance frameworks (including data quality, lineage, and cataloging)
• Experience with data visualization tools (Amazon QuickSight, Tableau, or equivalent)
• Experience with infrastructure-as-code and CI/CD pipelines for data engineering workflows
• Experience working in a Sales Operations or business analytics environment

Responsibilities

• Design and implement complex data pipelines and models that power business-critical analytics and reporting
• Drive end-to-end delivery of scalable, reliable, and low-cost data solutions from production systems into the data lake
• Develop new data processing patterns and frameworks to optimize performance and reliability of data infrastructure
• Lead technical design and implementation of ETL/ELT solutions using AWS services including EMR, Redshift, Glue, Lambda, and S3
• Collaborate with business owners and stakeholders to understand data requirements and translate them into technical solutions
• Create robust data quality and monitoring solutions to ensure data accuracy, completeness, and availability
• Mentor junior team members in data engineering best practices and contribute to a culture of continuous improvement

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level