Field Engineer, Data Engine

Навыки

• AWS
• Azure
• Bash / shell
• Data Governance
• Docker
• ETL / ELT
• Google Cloud

О компании и продукте

• At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
• We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
• We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
• We comply with the United States Department of Labor's Pay Transparency provision .

Задачи

• Be open to >50% onsite work in a secured space
• Collaborate with cross-functional teams to define and execute the vision for data pipelines and agents
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions
• This role will require at minimum an active Secret clearance and willingness to obtain a TS/SCI security clearance
• Ideally you have
• Understanding of data modeling, data warehousing, and data governance principles
• Prior experience developing with Python
• Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions
• Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Please reference the job posting's subtitle for where this position will be located
• For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is
• The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is

Требования

• Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources
• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment

Условия

• Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale
• 190,000 — $290,000 USD
• 170,000 — $260,000 USD

Паспорт вакансии

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