Data Engineer, AWS Workforce Planning

Success in any organization begins with its people, and having a comprehensive understanding of our workforce and how we best utilize their unique skills and experience is paramount to our future success. As a Data Engineer on the AWS PXT Workforce Planning team, you will play a critical role in building and maintaining the data pipelines and ETL mechanisms necessary to scale and implement the workforce planning data services and backend architecture.

Key responsibilities:

• Collaborate with product managers and software engineers to understand requirements and acceptance criteria
• Develop and maintain scalable, secure, extensible, and reusable data pipelines
• Utilize best engineering practices including robust testing, linting, secure by default designs, and code reviews
• Engage in collaborative design reviews with fellow engineers
• Collaborate with senior staff to determine data typing, table schemes, and indexing methodologies
• Work with partner data engineering teams within peer organizations for shared project initiatives
• Advise on key design and technology trade-offs related to data architecture, technology platforms, and table designs

Required qualifications:

• 4+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience with big data technologies such as Hadoop, Hive, Spark, EMR

Preferred qualifications:

• Experience with non-relational databases / data stores
• Experience writing infrastructure as code using declarative configuration languages

Amazon offers a comprehensive benefits package, including medical, financial, and other benefits. The base pay for this position ranges from $118,900/year to $205,600/year, depending on the geographic market and other factors.

Join us to innovate, learn, and be part of a diverse and inclusive team that values work-life harmony and continuous growth.