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Amazon.com Services LLC

Data Engineer

Amazon.com Services LLC
New York, NY $101k - $160k/yr Full time Posted 15d ago
Analytics Big Data Business Intelligence Cloud Operations Data Analytics Data Architecture Data Engineer Data Governance Data Integration Data Management Data Modeling Data Pipeline Data Platform Data Processing Data Quality Data Security Data Visualization Data Warehouse Database ETL Model Context Protocols Reporting and Analytics SQL
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Job Description

The Data Engineer role on the PV Global Brand Insights team at Amazon.com Services LLC focuses on building scalable data pipelines and generating insights to help Prime Video understand and deliver value to customers. This onsite position is based in New York, NY, with a salary range of USD 101,300 to 160,000 per year.

Responsibilities

  • Build and optimize data models and pipelines for complex global datasets
  • Own ongoing data quality and provide self service access to datasets for business intelligence, AI tools, and Model Context Protocols (MCP)
  • Improve metadata to enhance AI results
  • Collaborate with research program leads, data scientists, business intelligence engineers, and other data engineers to maintain stable, high-performance data solutions
  • Write secure, stable, testable, and maintainable code with minimal defects
  • Apply appropriate data design approaches and balance trade-offs without over-engineering
  • Optimize resource usage across systems, data storage, query performance, and AWS infrastructure
  • Participate in code reviews, design discussions, and roadmap planning
  • Resolve root causes of complex problems while balancing stakeholder requirements with team needs
  • Stay current on innovations in the field, including ways AI can assist stakeholders in analyzing and visualizing data
  • Develop and maintain automated reporting and dashboards to provide visibility into brand, marketing, and social performance and enable self-serve insights

Requirements

  • 2+ years of data engineering experience
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Proficiency with at least one query language such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala
  • Proficiency with at least one scripting language such as Python or KornShell
  • Foundational understanding of designing and implementing data schemas, including normalization and relational versus dimensional models
  • Knowledge of professional software engineering practices and the full software development lifecycle, including coding standards, architectures, code reviews, source control, continuous deployment, testing, and operational excellence
  • Experience using BI tools (Tableau, Adobe) to visualize data

Technologies

  • SQL
  • PL/SQL
  • DDL
  • MDX
  • HiveQL
  • SparkSQL
  • Scala
  • Python
  • KornShell
  • Tableau
  • Adobe
  • Hadoop
  • Hive
  • Spark
  • EMR
  • Pig
  • Informatica
  • ODI
  • SSIS
  • BODI
  • Datastage
  • S3
  • Redshift
  • Sagemaker
  • Kinesis
  • Lambda
  • EC2

Benefits

  • Health insurance
  • Sign-on payments
  • Restricted stock units (RSUs)
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Adoption and Surrogacy Reimbursement coverage
  • Employee Assistance Program (EAP)

About the Team

The PV Global Brand and Marketing Insights team informs global marketing decision making by representing the voice of the customer for the Global Marketing organization. Our scope spans multiple countries, aiming to uncover universal customer truths while accounting for local nuances through collaboration with in-country insights leads. We partner with teams responsible for planning and executing strategies that shape the future of the PV brand.

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