Andersen · 2 months ago
Senior Associate - AI Data Engineer
Andersen is a consulting firm that offers a multidimensional approach combining expertise in business transformation and artificial intelligence. The role involves building data and feature engineering pipelines to support machine learning and GenAI workloads, requiring collaboration with client technical teams and internal product managers.
Financial Services
Responsibilities
Implementing modern data pipelines to support client use cases
Work within the new Andersen Consulting Global AI practice
Deliver value to clients through machine learning and GenAI
Learn new things quickly and accomplish a wide range of tasks
Deliver robust data and feature engineering pipelines to clients with exceptional quality
Work directly with client technical teams to explore source data and help define required transformations
Work closely with internal product teams to implement feature engineering where required
Set the standard for disciplined data engineering
Champion good agile practices that provide a foundation for iterative product development
Qualification
Required
A technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
A compelling track record of designing and deploying large scale data engineering solutions, which deliver tangible, ongoing value (and ability to show work)
Professional experience writing high-quality Python code
Professional experience working with relational and non-relational database technologies with expert level knowledge of SQL
Professional experience working in PySpark, Polars, Typescript, and Java
Professional experience working within teams to collectively build and deploy high quality code using the tools of the trade (e.g. Git, Slack)
Professional experience with cloud native architectures, services, and tools
Preferred
Ability to context-switch, to provide support to dispersed teams which may need an 'expert hacker' to unblock an especially challenging technical obstacle
An 'engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact; recognizing that the 'good' is not the enemy of the 'perfect'
Strong willingness to learn modern tools in the GenAI ecosystem (e.g., vector databases, feature stores, prompt engineering platforms, LLM orchestration libraries, model-serving frameworks, AI observability tools)
Exposure to machine learning operations and large language model (LLM) operations tools and practices
Benefits
Employees (and their families) are eligible for medical, dental, vision, and basic life insurance coverage.
Employees may enroll in the firm’s 401(k) plan upon hire.
We offer 160 hours of paid time off annually, along with twelve paid holidays each calendar year.
Company
Andersen
Andersen is the founding member of Andersen Global, an international association of legally separate, independent member firms with more than 50,000 professionals worldwide, over 3,000 global partners, and a presence in over 1,000 locations in more than 180 countries worldwide.