Application Notice
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The Firm
A New Era of AI-Driven, Multidimensional Consulting
Today’s businesses face complex global challenges that demand more than conventional consulting services. Andersen Consulting offers a seamless, multidimensional approach that combines expertise in business transformation, artificial intelligence, cybersecurity, sustainability, and digital strategy with Andersen Global’s established tax and legal capabilities. This integration of emerging technologies positions Andersen Consulting as the partner of choice in the $1 trillion consulting industry.
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
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 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
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.
Compensation and Benefits
Our firm offers a competitive base salary and comprehensive benefits package designed to support the well-being, growth, and long-term success of our people. We are committed to recognizing individual contributions and providing resources that enable our employees to thrive both personally and professionally.
Salary Range: For individuals hired to work in San Francisco, the expected salary range for this role is $142,200 to $202,700. Actual compensation will be determined based on the candidate’s qualifications, experience, and skill set.
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. For a full listing of benefit offerings, please visit https://www.andersen.com/careers.
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 is an equal opportunity employer committed to fostering an inclusive workplace. We evaluate all applicants and employees without regard to race, color, religion, national origin, ancestry, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. All qualified applicants, including those with criminal histories, will be considered in a manner consistent with applicable law. We provide reasonable accommodations to qualified individuals with disabilities as required by law.
ANDERSEN TAX LLC NOTICE FOR JOB APPLICANTS
