Data Eng Sr
Description:
Requisition Number
112020BR
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 requiredKey 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
Job Posting Title
Data Engineer [remote work]
Travel Percentage
<10%
Clearance Level – Must be able to obtain for position
None
Shift
1st Shift
Regular or Temporary
Regular
Typical Education and Experience
Typically a Bachelor's Degree and 4 years work experience or equivalent experience
Required Skills and Education
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
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.
Department
IT_DATAANL_Data Analytics
Company
123_BAE Systems Shared Svcs Inc
Posting Requirements
Internal/External
Job Category
Engineering & Technology
U.S. Person Required
Yes
Business Area
ESS IT
Salary Max Point
128340
Salary Min Point
75510
Union Job
None
Recruiter
Kathleen Kirwin