Senior Associate - AI Data Engineer

The Firm

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The Role

We’re looking for an experienced Data Engineer to build the data and feature engineering pipelines that power machine learning and GenAI workloads. Data engineers at Andersen Consulting interact with client technical teams, internal engagement leaders, and internal product managers to understand client data landscapes. Their core responsibility is implementing modern data pipelines to support client use cases. This is an individual contributor role which does not require people management.

You’ll work within the new Andersen Consulting Global AI practice which is accountable for delivering value to clients through machine learning and GenAI. The team does this by using modern techniques, tooling, and behaviors to deliver value as quickly as possible. Since the AI landscape is moving fast, you’ll be asked to learn new things quickly and accomplish a wide range of tasks, all focused on delivering robust data and feature engineering pipelines to clients with exceptional quality.

Your initial focus will be on becoming proficient using the Palantir Foundry platform. Andersen Consulting is partnering with Palantir to build and deploy Foundry solutions to Andersen Consulting clients. This means that in addition to working on client engagements, you’ll have the opportunity to become an expert in one of the most powerful AI platforms on the market. Longer term, you will be tasked with building bespoke data and feature engineering pipelines within client infrastructure which may include on-premises software, cloud-hosted software, or cloud-native services.

We understand that narrow and well-defined job responsibilities are good for some people. If you are one of those people, this role may not be right for you. We expect you to:

• 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

Compensation and Benefits

Our firm offers competitive base compensation, benefits package, and a discretionary employee bonus program for eligible employees based on individual and firm performance metrics per the defined program guidelines. For individuals hired to work in Chicago, the expected salary range for this role is $142,200 to $202,700; the actual salary offer can vary based upon employee qualifications.

Benefits: Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our firm’s 401(k) plan upon hire. We offer paid time off, beginning at 160 hours annually and provides twelve paid holidays throughout the calendar year. For a full listing of benefit offerings, please visit https://www.andersen.com/careers/faqs. 

Compensation: In addition to competitive base compensation, our firm offers annual discretionary bonuses based on firm and individual performance, a discretionary long-term cash incentive program, and other forms of discretionary compensation that would be offered to the hired applicant in addition to their established salary range scale.

The Requirements

To be successfully considered for this role, you will have:

• 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 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

It would also be beneficial if you have:

• 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

We’re looking for a passionate, team oriented, experienced engineer who’s self-motivated and loves technology. We expect you to do the best work of your life and influence those around you to do the same. We value humility and intellectual honesty in our engineers. In return, you have an incredible opportunity to build experience working on large scale machine learning and GenAI deployments.

Applicants must be currently authorized to work in the United States on a full-time basis upon hire. Andersen will not consider candidates for this position who require sponsorship for employment visa status now or in the future (e.g., H-1B status).

Andersen Tax welcomes and encourages workforce diversity. We are an equal opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to race, color, national origin, ancestry, religion, sexual orientation (including gender identity and gender expression), mental disability, physical disability, sex/gender (including pregnancy, childbirth, and related medical conditions), age, marital status, military status, veteran status, genetic information, or any other characteristic protected by federal, state or local laws or regulations. All qualified individuals, including those with criminal histories, will be considered in a manner consistent with the requirements of applicable state and local laws. Additionally, we make every effort to provide reasonable accommodations to qualified individuals with disabilities.

ANDERSEN TAX LLC NOTICE FOR JOB APPLICANTS