Data Engineer II, AWS Analytics Engineering - FDT

What you'll do

• Design, optimize, and maintain data pipelines and logical data models, including data quality, security, scalability, and cost considerations.
• Improve data engineering practices and operational health, including SLAs, monitoring, on-call support, and incident resolution.
• Collaborate with stakeholders and engineers on data requirements, architecture decisions, project delivery, and knowledge-sharing.

What they ask for

• 5+ years of data engineering experience.
• 3+ years developing and operating large-scale business intelligence data structures using ETL/ELT and SQL.
• 5+ years analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• 3+ years developing and operating large-scale business intelligence data structures using OLAP technologies and Data Modeling; experience communicating with users and technical teams to collect requirements and describe data decisions.

Nice to have

• Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
• Experience with non-relational data stores, big data technologies, or Data & AI technologies.

Pay

132,100.00 - 178,800.00 USD annually (base salary)

Tools

SQL, ETL/ELT, Redshift, Oracle, NoSQL, AWS Glue, EMR, S3

AI focus

Exposure to AI/ML technologies, including LLMs, and foundational understanding of agentic frameworks, autonomous agents, multi-agent orchestration, and tool integration; use AI to accelerate analytics.