Raytheon
Cloud Data Infrastructure Engineer Lead
Raytheon, Short Pump, Virginia, United States,
Date Posted:
2024-10-02
Country:
United States of America
Location:
VA543: 22270 Pacific Blvd, Dulles 22270 Pacific Boulevard Building CC5, Sterling, VA, 20166-6924 USA
Position Role Type:
Hybrid
You have been redirected to RTX’s career page as we have recently transitioned from RTX to become a standalone company, which provides us with greater autonomy and opportunities for growth. As a prospective employee of Nightwing, you’ll have the chance to contribute to our continued success and shape the future of our cybersecurity, intelligence, and services offerings.
Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization.
Role Overview:
Focus on establishing and optimizing our data warehouse and data lake environments. This role will be critical in integrating various machine learning and data science tools, as well as placing controls on the warehouses and lakes we help stand up. You will utilize technologies such as Apache Spark, Airflow, Iceberg, and AWS streaming services, leading a team in designing and implementing a robust data architecture that supports our data office and enhances data-driven decision-making.
Key Responsibilities:
Data Warehouse & Lake Setup: Lead the design and implementation of data warehouse and data lake architectures, ensuring they are scalable, secure, and aligned with organizational goals.
Integration Technologies: Oversee the integration of various technologies (e.g., Apache Spark, Airflow, Iceberg) and AWS streaming tools (e.g., Kinesis, MSK) to enable efficient data processing and workflow orchestration.
Controls Implementation: Help establish and enforce controls on data warehouses and lakes to ensure data integrity, security, and compliance.
Collaboration: Partner with data scientists and analysts to understand their needs and drive the integration of machine learning tools and frameworks into the data architecture.
Data Governance: Implement best practices for data governance and management within the data warehouse and lake environments.
Performance Optimization: Monitor and optimize data architecture performance, focusing on query efficiency, data retrieval times, and overall system reliability.
Technical Leadership: Provide mentorship and guidance to the engineering team, fostering a culture of collaboration and innovation.
Emerging Technologies: Stay updated on advancements in data technologies and tools, continuously evaluating and integrating new solutions that enhance our capabilities.
Documentation & Standards: Develop and maintain comprehensive documentation for data infrastructure processes, standards, and best practices to support knowledge sharing.
Required Qualifications:
8+ years of experience in data engineering, cloud engineering, or related roles.
5+ years of hands-on experience with data warehouse and data lake design and implementation.
Proficiency in data integration technologies, including Apache Spark, Airflow, Iceberg, and AWS streaming tools (e.g., Kinesis, MSK).
Familiarity with data warehouses and lakes across various cloud tenants (AWS is a must, GCP and Azure nice to have).
Strong understanding of data governance, security, and compliance principles.
Experience integrating machine learning and data science tools within cloud environments.
Strong leadership and communication skills, capable of conveying technical concepts to diverse stakeholders.
Proven adaptability and resilience in a dynamic organizational environment.
Desired Qualifications:
Familiarity with big data technologies and frameworks.
Experience with ETL processes and data pipeline development.
Knowledge of cloud platforms (AWS, Azure, GCP) and their data services.
Certifications in cloud architecture or data engineering (AWS, Azure, GCP) are a plus.
Industry experience in Defense, Intelligence, or related sectors is highly desirable.
Education:
Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field.
Advanced degrees (Master’s or Ph.D.) in relevant disciplines are a plus.
Security Clearance:
Must be a US Citizen. No clearance required at the time of hiring, but a Secret or higher clearance is preferred or the ability to obtain one.
The salary range for this role is 105,000 USD - 221,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX is An Equal Opportunity/Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms
#J-18808-Ljbffr
2024-10-02
Country:
United States of America
Location:
VA543: 22270 Pacific Blvd, Dulles 22270 Pacific Boulevard Building CC5, Sterling, VA, 20166-6924 USA
Position Role Type:
Hybrid
You have been redirected to RTX’s career page as we have recently transitioned from RTX to become a standalone company, which provides us with greater autonomy and opportunities for growth. As a prospective employee of Nightwing, you’ll have the chance to contribute to our continued success and shape the future of our cybersecurity, intelligence, and services offerings.
Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization.
Role Overview:
Focus on establishing and optimizing our data warehouse and data lake environments. This role will be critical in integrating various machine learning and data science tools, as well as placing controls on the warehouses and lakes we help stand up. You will utilize technologies such as Apache Spark, Airflow, Iceberg, and AWS streaming services, leading a team in designing and implementing a robust data architecture that supports our data office and enhances data-driven decision-making.
Key Responsibilities:
Data Warehouse & Lake Setup: Lead the design and implementation of data warehouse and data lake architectures, ensuring they are scalable, secure, and aligned with organizational goals.
Integration Technologies: Oversee the integration of various technologies (e.g., Apache Spark, Airflow, Iceberg) and AWS streaming tools (e.g., Kinesis, MSK) to enable efficient data processing and workflow orchestration.
Controls Implementation: Help establish and enforce controls on data warehouses and lakes to ensure data integrity, security, and compliance.
Collaboration: Partner with data scientists and analysts to understand their needs and drive the integration of machine learning tools and frameworks into the data architecture.
Data Governance: Implement best practices for data governance and management within the data warehouse and lake environments.
Performance Optimization: Monitor and optimize data architecture performance, focusing on query efficiency, data retrieval times, and overall system reliability.
Technical Leadership: Provide mentorship and guidance to the engineering team, fostering a culture of collaboration and innovation.
Emerging Technologies: Stay updated on advancements in data technologies and tools, continuously evaluating and integrating new solutions that enhance our capabilities.
Documentation & Standards: Develop and maintain comprehensive documentation for data infrastructure processes, standards, and best practices to support knowledge sharing.
Required Qualifications:
8+ years of experience in data engineering, cloud engineering, or related roles.
5+ years of hands-on experience with data warehouse and data lake design and implementation.
Proficiency in data integration technologies, including Apache Spark, Airflow, Iceberg, and AWS streaming tools (e.g., Kinesis, MSK).
Familiarity with data warehouses and lakes across various cloud tenants (AWS is a must, GCP and Azure nice to have).
Strong understanding of data governance, security, and compliance principles.
Experience integrating machine learning and data science tools within cloud environments.
Strong leadership and communication skills, capable of conveying technical concepts to diverse stakeholders.
Proven adaptability and resilience in a dynamic organizational environment.
Desired Qualifications:
Familiarity with big data technologies and frameworks.
Experience with ETL processes and data pipeline development.
Knowledge of cloud platforms (AWS, Azure, GCP) and their data services.
Certifications in cloud architecture or data engineering (AWS, Azure, GCP) are a plus.
Industry experience in Defense, Intelligence, or related sectors is highly desirable.
Education:
Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field.
Advanced degrees (Master’s or Ph.D.) in relevant disciplines are a plus.
Security Clearance:
Must be a US Citizen. No clearance required at the time of hiring, but a Secret or higher clearance is preferred or the ability to obtain one.
The salary range for this role is 105,000 USD - 221,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX is An Equal Opportunity/Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms
#J-18808-Ljbffr