Data Engineer I, SSD/ R2L Infrastructure

Requirements

• 1+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more scripting language (e.g., Python, KornShell)
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) software development, or a related technical role
• Proficiency in SQL and at least one programming language (Python, Java, or Scala)
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Knowledge of AWS Infrastructure
• Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Experience with AWS data services (Redshift, Glue, S3, EMR)
• Familiarity with CI/CD practices, source control (Git), and code review workflows
• Exposure to data modeling, pipeline orchestration tools (e.g., Cradle/Airflow), or infrastructure-as-code
• Interest in generative AI and its applications to data engineering workflows
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, WA, Bellevue - 101,300.00 - 160,000.00 USD annually

Additional Information

The Rapid and Rural Logistics (R2L) Data Engineering & Infrastructure team is seeking a motivated Data Engineer to help develop and maintain data pipelines that support business analytics, contribute to tooling that enables orchestration, and assist in building automation that optimizes our infrastructure. We look for candidates who are curious, collaborative, eager to learn, and who thrive in a fast-paced environment. We are looking for someone with experience or familiarity with AWS technologies such as Redshift, S3, AWS Glue, and EMR. Exposure to streaming services (Kinesis, Firehose), Lambda, or generative AI tools (e.g., Bedrock) is a plus but not required. You should be comfortable writing code, working within established standards, and contributing to team projects with guidance from senior engineers. Key job responsibilities Main responsibilities of this role include but are not limited to: - Support and maintain existing database infrastructure and data pipelines - Write and improve automation scripts and data processing workflows - Translate functional and business requirements into technical implementations with guidance from senior team members - Assist in analyzing source data systems and documenting data lineage - Participate in all phases of the development life cycle - design, implementation, testing, delivery, documentation, and maintenance - Contribute to proof-of-concept pilots leveraging generative AI technologies - Help build and maintain AI-enabled knowledge management tools and frameworks - Collaborate with team members and cross-functional partners, sharing learnings and staying current with industry developments A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

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