Data Engineer

Role Overview

As a data engineer, you will use your analytical skills and data science knowledge to create real-world impact. You will work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle.

What You Will Do

You will develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions.

Why It Might Be a Fit

You will provide a deep understanding of the data, what it all means, and how it can be used.

Requirements

• 3+ years of experience developing and maintaining machine learning, AI-driven, or data-centric applications
• 3+ years of experience designing, building, and operationalizing data and ML pipelines in production environments
• 3+ years of experience retrieving, parsing, and processing structured, semi-structured, and unstructured data to support analytics, feature engineering, and model development
• 3+ years of experience integrating large language models (LLMs) into analytic and ML workflows, including prompt design, inference orchestration, and automated data processing
• Experience collaborating within cross-functional teams, such as data scientists, ML engineers, analysts, and platform engineers, to deliver end-to-end DS or ML solutions
• Secret clearance

Benefits

• Health benefits
• Life benefits
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program