Job Description
We are seeking an experienced Data Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision-making. The successful candidate will have a strong background in data warehousing, ETL, and AI/ML, with experience in working with various tools.
Key Responsibilities:
Design and implement data pipelines to ingest, extract, transform, load (ETL) data and store large data sets from various sources
Build and maintain data warehouses, including data modeling, data governance, and data quality
Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data governance policies
Optimize data systems for performance, scalability, and reliability
Collaborate with customers to understand their technical requirements and provide guidance on best practices for using Amazon Redshift
Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions
Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling
Integrate AI/ML models with ETL pipelines and data warehouses to enable predictive analytics and machine learning
Develop and deploy AI/ML models using popular frameworks such as TensorFlow, PyTorch, or Scikit-learn
Work with data scientists to develop and deploy data-driven products and features
Identify and resolve data-related issues, including data pipeline failures, data quality issues, and performance bottlenecks
Develop technical documentation and knowledge base articles to help customers and AWS engineers troubleshoot common issues
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, or equivalent combination of education and work experience.
Proficiency in one or more programming languages (e.g., Python, Java, Scala)
6+ years of experience in data engineering, with a focus on designing and implementing large-scale data systems
5 + years of hands-on experience in writing complex, highly optimized queries across large data sets using AWS Redshift, Oracle and SQL Server.
5 + years of hands-on experience using AWS Glue, python/spark to build ETL pipelines in a production setting, including writing test cases
Strong understanding of database design principles, data modeling, and data governance
Proficiency in SQL, including query optimization, indexing, and performance tuning
Experience with data warehousing concepts, including star and snowflake schemas
Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components
Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases and 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
Understanding of data quality and governance principles and best practices
Experience with AWS services and best practices
Soft Skills:
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable components
Ability to work in a fast-paced environment and adapt to changing priorities
Strong attention to detail and ability to maintain high-quality documentation
Commitment to continuous learning and professional development
Preferred Education, Experience, & Skills
Experience with Dataiku
Experience with building reports using PowerBI and Tableau
Familiarity with agile development methodologies and version control systems such as Git
Certification in data warehousing, ETL, or AI/ML (e.g., Certified Data Warehouse Architect, Certified ETL Developer)
Experience with agile development methodologies such as Scrum or Kanban
#LI-DM2
#LI-Remote
Pay Information
Full-Time Salary Range: $79370 - $134929
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 a defense, aerospace, and security company headquartered in Falls Church, Virginia, with more than 40,000 employees worldwide. We serve, supply, and protect those who protect us. As one of the most geographically diverse international defense companies, we deliver a full range of products and services spanning air, land, maritime, space, and cyber, including advanced electronics, intelligence solutions, and dedicated customer support.
Our culture is performance-driven and values-led, built on curiosity, creativity, and collaboration. Purpose isn't a tagline here. It's what drives us. We're developing breakthrough technologies that defend national security and make a lasting impact on our communities and our planet. When you join BAE Systems, you're not just building a career. You're contributing to a mission that truly matters.
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.