Data Engineer [remote work]

Qualifications
US Citizenship or Green Card required
Required Education, Experience, & Skills Bachelor's or Master's degree in Computer Science or a related field, with at least 6 years of experience in Information Technology
6+ years expereience developing and deploying AI/ML models using techniques such as supervised and unsupervised learning, deep learning, and natural language processing
Programming skills in languages such as Python, Java, Scala, or C++
Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases, or cloud-based data warehouses (Redshift)
Experience with data processing frameworks such as Apache Kafka, Fivetran
Experience in building ETL pipelines using AWS Glue, Apache Airflow, and programming languages including Python and PySpark
Experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, or Keras
Experience with cloud platforms including AWS and AWS Services or Azure
Experience with containerization using Docker and orchestration using Kubernetes
Experience with machine learning engineering tools such as MLflow, TensorFlow Extended, or AWS Sage Maker
Experience with agile development methodologies such as Scrum or Kanban
Certifications in data engineering, AI/ML, or related fields
Benefits
100% Remote or Hybrid work arrangement, with occasional visits to the office
Full-Time Salary Range: $75510 - $128340
Please note: This range is based on our market pay structures
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being
Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance
We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance
Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave
Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards
Other incentives may be available based on position level and/or job specifics
Responsibilities
The successful candidate will build and maintain large-scale data systems that support AI/ML applications, develop and deploy AI/ML models to drive business growth and improve decision-making
Design and implement data pipelines to ingest, process, and store large datasets from various sources
Develop and deploy AI/ML models using techniques such as supervised and unsupervised learning, deep learning, and natural language processing
Build and maintain data warehouses, including data modeling, data governance, and data quality
Develop data architectures to support AI/ML applications, including data lakes, data marts, and data hubs
Collaborate with data scientists to develop and deploy AI/ML models, including data preparation, feature engineering, and model evaluation
Ensure data quality and integrity by developing and implementing data validation, cleansing, and normalization processes
Optimize data systems for performance, scalability, and reliability
Stay up to date with industry trends in AI/ML, data engineering, and data science, and apply this knowledge to develop innovative solutions
Job description
Job Description We are seeking a skilled Data Engineer with expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. The successful candidate will build and maintain large-scale data systems that support AI/ML applications, develop and deploy AI/ML models to drive business growth and improve decision-making.
• 100% Remote or Hybrid work arrangement, with occasional visits to the office.
• US Citizenship or Green Card required
Key Responsibilities:
• Design and implement data pipelines to ingest, process, and store large datasets from various sources
• Develop and deploy AI/ML models using techniques such as supervised and unsupervised learning, deep learning, and natural language processing
• Build and maintain data warehouses, including data modeling, data governance, and data quality
• Develop data architectures to support AI/ML applications, including data lakes, data marts, and data hubs
• Collaborate with data scientists to develop and deploy AI/ML models, including data preparation, feature engineering, and model evaluation
• Ensure data quality and integrity by developing and implementing data validation, cleansing, and normalization processes
• Optimize data systems for performance, scalability, and reliability
• Stay up to date with industry trends in AI/ML, data engineering, and data science, and apply this knowledge to develop innovative solutions
Required Education, Experience, & Skills Bachelor's or Master's degree in Computer Science or a related field, with at least 6 years of experience in Information Technology

6+ years expereience developing and deploying AI/ML models using techniques such as supervised and unsupervised learning, deep learning, and natural language processing
• Programming skills in languages such as Python, Java, Scala, or C++
• Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases, or cloud-based data warehouses (Redshift)
• Experience with data processing frameworks such as Apache Kafka, Fivetran.
• Experience in building ETL pipelines using AWS Glue, Apache Airflow, and programming languages including Python and PySpark.
• Experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, or Keras
• Experience with cloud platforms including AWS and AWS Services or Azure.
• Experience with containerization using Docker and orchestration using Kubernetes
• Experience with machine learning engineering tools such as MLflow, TensorFlow Extended, or AWS Sage Maker
• Experience with agile development methodologies such as Scrum or Kanban
• Certifications in data engineering, AI/ML, or related fields

Pay Information
Full-Time Salary Range: $75510 - $128340

Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.

Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
About BAE Systems, Inc.BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference.

This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.