Data Engineer, Leo Global Business and Customer Operations

Amazon; Arlington (VA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

RSUs

Job summary

Amazon Leo is seeking a Data Engineer to build and own the pipelines powering Leo's data platform. You will ingest data from dozens of sources, enforce quality standards, and drive operational efficiency to scale a rapidly growing satellite business.

You'll partner with business operations, data science, and engineering teams to deliver curated datasets, standardized metrics, and centralized tooling while upholding security and governance across multi-tenant cloud environments.

Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines

Responsibilities

• Data Pipeline Development: Build, maintain, and scale data pipelines that ingest data from first-party (Leo catalog, order management), second-party (AWS services), and third-party sources into a unified data lake.
• Data Quality and Governance: Define and implement data quality checks, validation frameworks, and monitoring alerts.
• Operational Efficiency: Identify and eliminate bottlenecks in data workflows, automate manual processes, reduce pipeline latency and improve cost efficiency.
• Cross-Team Partnership: Collaborate with business operations, data science, and engineering teams to deliver curated, reliable datasets.
• Infrastructure Standards: Apply security best practices and compliance requirements to data systems across multi-tenant platforms.

Skills

Data engineering

Data modeling

ETL pipelines

SQL

AWS data services

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

DynamoDB

Job description

Data Engineer, Leo Global Business and Customer Operations

Amazon Leo is Amazon's low Earth orbit (LEO) satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks — from individual households to schools, hospitals, businesses, and government agencies operating in locations without reliable connectivity.

Join us as we build the data and science backbone for Leo's entire organization. As a central team, we establish the infrastructure, analytics capabilities, and generative artificial intelligence (GenAI)-powered tools that enable every Leo team — from business operations to customer support to capacity planning — to make data-driven decisions and deliver exceptional customer experiences.

As a Data Engineer, you will build and own the pipelines that power Leo's data platform. You will design, implement, and maintain the data infrastructure that ingests from dozens of source systems, enforce quality standards that teams rely on for business decisions, and drive operational efficiencies that allow Leo to scale. Your work directly enables the launch and global growth of a rapidly scaling satellite business.

Key job responsibilities

• Data Pipeline Development: Build, maintain, and scale data pipelines that ingest data from first-party (Leo catalog, order management), second-party (Amazon Web Services (AWS) services), and third-party sources (Salesforce, Marketo) into a unified data lake. Ensure pipelines are reliable, fault-tolerant, and meet cross-organizational needs.
• Data Quality and Governance: Define and implement data quality checks, validation frameworks, and monitoring alerts. Establish standards for data accuracy, completeness, and consistency. Partner with consuming teams to resolve data issues and enforce governance protocols.
• Operational Efficiency: Identify and eliminate bottlenecks in data workflows. Automate manual processes, reduce pipeline latency, and improve cost efficiency of data storage and compute. Track and report on pipeline health and SLA (Service Level Agreement) adherence.
• Cross-Team Partnership: Collaborate with business operations, data science, and engineering teams to understand data needs and deliver curated, reliable datasets. Contribute to shared dashboards, standardized metrics, and centralized tooling.
• Infrastructure Standards: Apply security best practices and compliance requirements to data systems. Support multi-tenancy requirements and contribute to the adoption of centralized data platforms.

Export Control Requirement

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

About the team

Within Global Business and Customer Operations, our team sits centrally as the primary Data Infrastructure and Core Data services org powering Leo Business decisions worldwide. We are a cross-functional team of data/business intelligence engineers and data/research/applied scientists, ensuring that global technical and non-technical data needs are met through traditional and GenAI channels.

Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands‑on SQL coding

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 https://amazon.jobs/en/benefits .

USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually