Apply on Employer Site

Andersen Corporation · 1 month ago

Senior Associate - AI Data Engineer

New York, NY

Full-time

Onsite

Senior Level

$142K/yr - $203K/yr

Andersen Consulting is a leader in AI-driven consulting, offering a multidimensional approach that integrates advanced technologies with established tax and legal capabilities. The role of Senior Associate - AI Data Engineer involves building data and feature engineering pipelines to support machine learning and GenAI workloads, working closely with client technical teams and internal product managers. The position requires a strong technical background and a commitment to delivering high-quality solutions.

Building MaterialHome DecorManufacturingWindowsWood Processing

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Come ready to do the best work of your life and influence your team to do the same

Deliver data and feature engineering pipelines with exceptional quality and be ready to be held to that standard

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 (e.g. automated testing, continuous integration and deployment, code reviews and writing high quality, well documented code)

Champion good agile practices that provide a foundation for iterative product development

Qualification

Data engineeringPythonSQLCloud native architecturesPySparkMachine learningTypescriptJavaGitAgile practices

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