Join AWS Fintech as a Data Engineer and be part of building a cutting-edge, highly scalable data platform using Amazon Web Services (AWS) technologies. This role offers an exciting opportunity to support the rapid growth of AWS itself while working with one of the world's largest and most complex data environments.
As a Data Engineer, you'll be responsible for developing data architecture and tools to support self-service data analytics, playing a crucial role in supporting AWS Finance BI. You'll have end-to-end ownership of data engineering solutions and contribute to strategic decision-making. The position requires expertise in designing, creating, and managing extremely large datasets.
Working in a fast-paced environment, you'll collaborate with BI engineers, software developers, product managers, and business stakeholders to solve unique business challenges. Your responsibilities will include building and managing analytical resources on AWS, designing and implementing ETL pipelines using SQL, Python, and Spark, and continuously improving reporting and analysis processes.
The ideal candidate should be a self-starter comfortable with ambiguity, possessing strong attention to detail. You'll work with cutting-edge AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, and Lambda. This role offers competitive compensation ranging from $91,200 to $185,000 per year, depending on location and experience, plus comprehensive benefits including medical coverage and 401k.
This position presents an excellent opportunity for growth and development in the rapidly expanding field of cloud computing and data engineering. You'll be at the forefront of technological innovation, working with massive datasets while contributing to the success of AWS's financial operations. If you're passionate about data engineering and eager to work with enterprise-scale systems, this role offers the perfect blend of challenge and opportunity.