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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** BAE Systems - **Location:** Fort Walton Beach, FL, United States (Remote available) - **Experience:** Expert - **Salary:** $79,370.0 - $134,929.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Apache HTTP Server, Big Data, Cloud Computing, Cloud Database, Configuration Management, Cyber Security, Information Systems, Databases, Data Validation, Data Cleansing, Information Engineering, Data Files, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Database Design, Python (Programming Language), Machine Learning, Microsoft SQL Server, NoSQL, Oracle Databases, Oracle (Applications), Performance Tuning, Scrum Methodology, Query Optimization, Power BI, Tensorflow, Scala (Programming Language), Software Engineering, SQL Databases, Tableau (Software), Test Case, Data Processing, Scripting, Data Storage Technologies, Pytorch, Apache Spark, Indexer, Git, Pyspark, Scikit Learn, Information Technology, AWS Glue, Star Schema, Integration Frameworks, Apache Kafka, Data Management, Dataiku, Software Version Control, Data Pipelines, Amazon Redshift, Programming Languages - **Published:** August 21, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-fort-walton-beach-fl--64704706-47e0-4ba8-ba8b-e26df9e4e222 ## About the Role 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., * 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 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, Aerospace and Defense, Agile Programming Methodologies, Amazon Web Services (AWS), Analysis Skills, Apache, Apache Kafka, Artificial Intelligence (AI), Auto Insurance, Best Practices, Cloud Computing, Communication Skills, Computer Science, Computer Security, Cross-Functional, Customer Support/Service, DM2 Data Formats, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Data Storage, Data Warehousing, Database Design, Database Extract Transform and Load (ETL), Detail Oriented, Documentation, Electronics, Emerging Technology, Git, Identify Issues, Information Technology & Information Systems, Insurance, Java, Kanban, Knowledge Base, Large-Scale Systems, Legal, Machine Learning, Microsoft SQL Server, NoSQL, Oracle Database, People Management, Performance Tuning/Optimization, Power BI, Predictive Modeling, Problem Solving Skills, Programming Languages, Python Programming/Scripting Language, Quality Management, Query Optimization, Relational Databases (RDBMS), SQL (Structured Query Language), Scala Programming Language, Scrum Project Management and Software Development, Snowflake Schema, Source Code/Configuration Management (SCM), Star Schema, Tableau, Team Player, Technical Support, Technical Writing, Test Case, Writing Skills ## Description * 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 ## 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