Forward Deployed Data Engineer

Palantir Technologies is seeking an experienced and passionate Forward Deployed Data Engineer to help drive our mission and shape the future of data engineering. This role requires an individual with a combination of technical capabilities and soft skills that will enable them to engage with our customers and deliver on our promise to build a better future.The ideal candidate should have knowledge of big data architectures, software engineering and distributed systems, as well as a passion for solving complex problems. They should be able to collaborate with our customers and partners to create innovative solutions, and be comfortable working in fast-paced, data-driven environments.Required qualifications include:• A bachelor’s degree in computer science, engineering, or a related field• At least 3 years of experience in software engineering or big data architecture• Proficiency with scripting languages (Python, Java, SQL, etc.)• Experience in developing software solutions in a distributed environment• Knowledge of data engineering best practices• Ability to work independently and in a team setting• Strong communication and problem-solving skills• Ability to adapt quickly to changing customer requirements

According to JobzMall, the average salary range for a Forward Deployed Data Engineer in Austin, TX, USA is $60,000 to $150,000 per year. This range depends on the experience and qualifications of the individual, as well as the particular hiring company.

Palantir Technologies is a software company that specializes in big data analytics and intelligence analysis. Founded in 2003, Palantir's mission is to help organizations use their data to solve the world's most pressing problems. Palantir's software platform allows users to integrate, manage, and analyze data from a wide range of sources, including structured and unstructured data, to create meaningful insights and actionable intelligence. The company's technology is used by government agencies, financial institutions, and other large organizations around the world to help them make better decisions based on data.