Data Engineer II, GMAC FP&A

What you'll do

• Architect and develop scalable data applications and pipelines, including data warehouse solutions.
• Build reporting, dashboards, and visualization frameworks; establish automated processes for analysis and ML model development.
• Work with large datasets and AWS resources to integrate data and support finance reporting and forecasting.

What they ask for

• Experience with data modeling, warehousing, and ETL pipelines.
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.

Nice to have

• Experience with AWS technologies, including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, and IAM roles and permissions.
• Experience with non-relational data stores or modern machine-learning methods.

Pay

USD 145,300.00 - 196,600.00 annually (base salary); USD 132,100.00 - 178,800.00 annually (base salary)

Tools

Quicksight, SQL, Python, Java, Scala, NodeJS, AWS, Redshift

AI focus

Establish processes for ML model development; preferred experience includes implementing modern machine-learning methods such as boosted regression trees, random forests, and neural networks.