Forward Deployed Engineer - Entry Level - THE FIN

## The opportunity Help build the next generation of how SharkNinja operates. Join THE FIN, SharkNinja's core internal transformation team, where we're building new financial and operational capabilities using data, automation, software, and AI. Our team works directly with the business to solve real problems, simplify complex processes, and create tools that make SharkNinja faster, smarter, and more effective. We're looking for an early-career builder who is curious, technically capable, and excited to learn by doing. You'll work alongside experienced engineers and business partners to turn ideas into practical solutions, gaining hands-on experience with enterprise data, applications, automation, and emerging AI technologies. You don't need to have built everything before. What matters is a strong technical foundation, a willingness to figure things out, and the motivation to build solutions that people actually use. Success means producing accurate, reliable work, learning quickly, and contributing to solutions that improve how SharkNinja operates. ## Responsibilities - Learn the business. Work with team members and business partners to understand operational processes, data, and the challenges teams face in their daily work. - Build and contribute. Develop components of applications, data products, and automation solutions under the guidance of experienced engineers. - Work with data. Write SQL queries, analyze datasets, support data transformations, and help improve data quality and accessibility. - Develop automation. Use Python and other tools to automate repetitive tasks, streamline workflows, and support business reporting and analysis. - Explore practical AI applications. Assist with building, testing, and validating AI-enabled tools that help business teams work more effectively, with appropriate human review. - Test and improve solutions. Help troubleshoot issues, validate outputs, document technical work, and ensure solutions are accurate and reliable. - Collaborate with users. Participate in discussions with business teams, gather feedback, and support improvements to tools and workflows. - Support delivery and adoption. Assist with deployment, documentation, user testing, and ongoing support of solutions used by the business. - Keep getting smarter. Ask questions, seek feedback, experiment with new approaches, and embrace Progress Over Perfection while building strong engineering habits. - Contribute as a team. Work collaboratively, share ideas, and practice Communicating for Impact to help the team deliver results. ## Skills Required - Typically 0–2 years of relevant experience, including internships, co-ops, academic projects, or personal technical projects. - Foundational programming skills in Python or a comparable language, with the ability to write, understand, and debug code. - Working knowledge of SQL, including basic queries, joins, filtering, and data manipulation. - Understanding of relational databases, data structures, and basic software development concepts. - Experience using programming or data analysis tools through coursework, internships, personal projects, or professional experience. - Ability to approach problems logically, investigate issues, and work through solutions with guidance. - Strong attention to detail and an interest in producing accurate, reliable work. - Curiosity about how businesses operate and how technology can improve processes and decision-making. - Willingness to learn new technologies, ask questions, and incorporate feedback. - Strong collaboration and communication skills, with the ability to explain your work and engage with teammates from different backgrounds. - An Insatiable Impatience for Action, a willingness to get started, experiment, and learn through building. - A Rarely Satisfied mindset, with the curiosity to question existing processes and continuously improve. ## Experience that would help - Internship, co-op, academic, or personal project experience involving Python, SQL, software development, or data analysis. - Exposure to business intelligence, data engineering, or automation tools. - Familiarity with Git, APIs, or basic software testing practices. - Exposure to cloud platforms, Snowflake, dbt, or enterprise data environments. - Interest in AI, machine learning, large language models, or practical AI applications. - Familiarity with web development technologies such as JavaScript or React. - Exposure to Palantir Foundry, AIP, or comparable enterprise platforms. - Interest in consumer products, retail, finance, supply chain, or business operations.A bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, or a related discipline, or equivalent practical experience, is welcome. We also encourage candidates with strong technical projects or nontraditional learning backgrounds to apply.