Phase2 Technology is hiring: Palantir Data Engineer in San Diego
Phase2 Technology, San Diego, CA, United States
Job Number: R0228614
The Opportunity:
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support mission-critical projects for our Defense clients. As a senior machine learning engineer on our core Palantir team, you'll train, test, deploy, and maintain models that learn from data.
In this role, you'll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You'll share your knowledge with a large community of machine learning engineers across the company and collaborate with key stakeholders, data engineers, developers, and data consumers to deliver world-class solutions to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategy for our defense clients.
Join us. The world can't wait.
You Have:
4+ years of experience in data operations such as data science, data engineering, data platforms, AI, ML, or software development
2+ years of experience in a facet of Palantir, including data modeling, ontology mapping, or data visualization
2+ years of experience with Python or TypeScript
2+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems
Ability to work in a fast-paced, Agile environment
Ability to travel up to 20% of the time
Secret clearance
Bachelor's degree
Nice If You Have:
Experience working with different teams within the Department of Defense
Experience with Databricks
Experience working in mission-oriented analytics or logistics-based data environments
Experience with Git-based code repositories and CI/CD workflows
Knowledge of working with Maven Smart Systems, including AIP
Knowledge of DevSecOps best practices and software lifecycle methodologies
Possession of excellent problem-solving skills
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model
If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
#J-18808-Ljbffr
In Summary: As a senior machine learning engineer on our core Palantir team, you'll train, test, deploy, and maintain models that learn from data . Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution .
En Español: Número de trabajo: R0228614 La oportunidad: Como ingeniero experimentado en Palantir, usted sabe que el aprendizaje automático es fundamental para comprender y procesar conjuntos masivos de datos. Su capacidad para realizar análisis estadísticos sobre los procesos empresariales utilizando técnicas ML lo convierte en una parte integral de la entrega de una solución centrada en el cliente. Necesitamos su conocimiento técnico y deseo de resolver problemas para apoyar proyectos críticos de misión para nuestros clientes de Defensa. El mundo no puede esperar. Usted tiene: 4+ años de experiencia en operaciones de datos como la ciencia de los datos, ingeniería de datos, plataformas de información, IA, ML o desarrollo de software 2 + años de experiencia en una faceta de Palantir, incluido el modelado de datos , mapeo ontológico o visualización de datos 2 + año de experiencia con Python o TypeScript 2 + anos de experiencia with Pipeline Builder, AIP y Fundición ecosistemas de desarrollo de aplicaciones Capacidad para trabajar en un entorno ágil a ritmo rápido La capacidad de viajar hasta 20% del tiempo Licenciatura Secreto Si usted tiene: Experiencia trabajando con diferentes equipos dentro del Departamento de Defensa Experiencia de análisis orientada a misiones o logística basado en entornos de acceso a datos Con repositorios de código basados y / flujos de trabajo de conocimientos / CD Los sistemas inteligentes desarrollan sus habilidades, incluyendo las mejores prácticas de investigación e aprendizaje Optometrajes Equipes de búsqueda de TIPS y Aplicaciones se pueden seleccionar. Nuestras ofertas incluyen beneficios de salud, vida, discapacidad, financieros y jubilación, así como licencia remunerada, desarrollo profesional, asistencia a la matrícula, programas de trabajo-vida y atención dependiente. Nuestro programa de reconocimientos premios reconoce a los empleados por un rendimiento excepcional y una demostración superior de nuestros valores. Los empleados a tiempo completo y parcial que trabajan al menos 20 horas a la semana con regularidad son elegibles para participar en los programas de beneficios de Booz Allen. Las personas que no cumplen el umbral solo son elegíveis para las ofertas seleccionadas, sin incluir beneficios sanitarios. Nos reservamos el derecho de tomar su foto para verificar su identidad y prevenir fraude. Modelo de trabajo Si este puesto se enumera como remoto o híbrido, trabajará periódicamente desde una instalación de Booz Allen u sitio del cliente.
The Opportunity:
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support mission-critical projects for our Defense clients. As a senior machine learning engineer on our core Palantir team, you'll train, test, deploy, and maintain models that learn from data.
In this role, you'll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You'll share your knowledge with a large community of machine learning engineers across the company and collaborate with key stakeholders, data engineers, developers, and data consumers to deliver world-class solutions to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategy for our defense clients.
Join us. The world can't wait.
You Have:
4+ years of experience in data operations such as data science, data engineering, data platforms, AI, ML, or software development
2+ years of experience in a facet of Palantir, including data modeling, ontology mapping, or data visualization
2+ years of experience with Python or TypeScript
2+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems
Ability to work in a fast-paced, Agile environment
Ability to travel up to 20% of the time
Secret clearance
Bachelor's degree
Nice If You Have:
Experience working with different teams within the Department of Defense
Experience with Databricks
Experience working in mission-oriented analytics or logistics-based data environments
Experience with Git-based code repositories and CI/CD workflows
Knowledge of working with Maven Smart Systems, including AIP
Knowledge of DevSecOps best practices and software lifecycle methodologies
Possession of excellent problem-solving skills
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model
If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
#J-18808-Ljbffr
In Summary: As a senior machine learning engineer on our core Palantir team, you'll train, test, deploy, and maintain models that learn from data . Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution .
En Español: Número de trabajo: R0228614 La oportunidad: Como ingeniero experimentado en Palantir, usted sabe que el aprendizaje automático es fundamental para comprender y procesar conjuntos masivos de datos. Su capacidad para realizar análisis estadísticos sobre los procesos empresariales utilizando técnicas ML lo convierte en una parte integral de la entrega de una solución centrada en el cliente. Necesitamos su conocimiento técnico y deseo de resolver problemas para apoyar proyectos críticos de misión para nuestros clientes de Defensa. El mundo no puede esperar. Usted tiene: 4+ años de experiencia en operaciones de datos como la ciencia de los datos, ingeniería de datos, plataformas de información, IA, ML o desarrollo de software 2 + años de experiencia en una faceta de Palantir, incluido el modelado de datos , mapeo ontológico o visualización de datos 2 + año de experiencia con Python o TypeScript 2 + anos de experiencia with Pipeline Builder, AIP y Fundición ecosistemas de desarrollo de aplicaciones Capacidad para trabajar en un entorno ágil a ritmo rápido La capacidad de viajar hasta 20% del tiempo Licenciatura Secreto Si usted tiene: Experiencia trabajando con diferentes equipos dentro del Departamento de Defensa Experiencia de análisis orientada a misiones o logística basado en entornos de acceso a datos Con repositorios de código basados y / flujos de trabajo de conocimientos / CD Los sistemas inteligentes desarrollan sus habilidades, incluyendo las mejores prácticas de investigación e aprendizaje Optometrajes Equipes de búsqueda de TIPS y Aplicaciones se pueden seleccionar. Nuestras ofertas incluyen beneficios de salud, vida, discapacidad, financieros y jubilación, así como licencia remunerada, desarrollo profesional, asistencia a la matrícula, programas de trabajo-vida y atención dependiente. Nuestro programa de reconocimientos premios reconoce a los empleados por un rendimiento excepcional y una demostración superior de nuestros valores. Los empleados a tiempo completo y parcial que trabajan al menos 20 horas a la semana con regularidad son elegibles para participar en los programas de beneficios de Booz Allen. Las personas que no cumplen el umbral solo son elegíveis para las ofertas seleccionadas, sin incluir beneficios sanitarios. Nos reservamos el derecho de tomar su foto para verificar su identidad y prevenir fraude. Modelo de trabajo Si este puesto se enumera como remoto o híbrido, trabajará periódicamente desde una instalación de Booz Allen u sitio del cliente.