Data Engineer II

Textron is a global multi-industry company spanning aerospace and defense, specialized vehicles, turf care, and fuel systems. The Data Engineer II will architect, develop, optimize, and maintain scalable data infrastructure and pipelines while collaborating with data scientists, analysts, and business stakeholders. The role also leads complex data engineering projects, mentors junior engineers, and ensures data quality, governance, security, and reliability.

Responsibilities

• Design, architect, and maintain scalable and resilient data pipelines for data ingestion, transformation, and delivery across multiple systems and platforms
• Optimize existing data workflows for performance, reliability, and cost-effectiveness
• Partner with stakeholders to gather requirements, analyze data needs, and translate business problems into effective data engineering solutions
• Develop, implement, and enhance data validation, quality, and testing frameworks to ensure data accuracy, integrity, and consistency
• Oversee the deployment and maintenance of data integration solutions, including ETL/ELT processes, real-time streaming, and batch processing
• Contribute to the design and implementation of data models, storage solutions, and metadata management strategies
• Ensure that all data systems comply with industry best practices, security guidelines, and regulatory standards
• Mentor and provide technical guidance to Data Engineer I team members; promote knowledge sharing and best practices within the team
• Troubleshoot complex data issues, identify root causes, and implement sustainable solutions
• Stay current with emerging technologies, tools, and trends in data engineering, recommending and adopting new approaches as appropriate
• Recommend ways to improve data reliability, efficiency and quality
• Maintain proper version control for Engineering objects in DevOps environments

Benefits

• On-site fitness center, including one-on-one personal training and group classes
• Generous time-off package
• Employee Resource Groups
• Fun workplace activities
• Supportive environment with mentorship and knowledge-sharing
• Industry-leading 401(k) matching
• Generous tuition reimbursement
• Comprehensive health, dental, and more

Company

• General aviation aircraft manufacturer of jets, turboprops, and pistons
• Wichita, Kansas, USA
• http://txtav.com/
• Founded in 2014
• 10001+ employees

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field
• 3+ years of experience in data engineering, data architecture, or related roles
• Proficiency in designing, building, and maintaining scalable ETL pipelines and data integration solutions
• Strong programming skills in Python, Java, Scala, or similar languages
• Solid experience with SQL and working knowledge of relational, NoSQL, and cloud-based databases (e.g., PostgreSQL, MongoDB, Snowflake, BigQuery, or similar)
• Hands-on experience with data pipeline orchestration tools (such as Databricks, Airflow, Synapse, or similar workflow management platforms)
• Familiarity with cloud data platforms (AWS, Azure, or Google Cloud Platform) and associated data services
• Strong understanding of data modeling, warehousing concepts, and performance optimization techniques
• Familiarity with Git, Azure DevOps or other Version Control tools in a CI/CD Data Platform
• Experience working with data validation, quality assurance, and testing frameworks
• Ability to collaborate effectively within cross-functional and Agile teams
• Excellent problem-solving skills, attention to detail, and a commitment to continuous learning and professional growth
• Ability to absorb new technology in short time frames
• Strong written and verbal communication skills
• Ability to work in a fast-paced environment that has competing and alternating priorities
• Applicants must be authorized to work in the United States without the need for current or future employer sponsorship. Sponsorship is not available for this position
• Candidates should be comfortable learning and applying these tools, evaluating AI-generated output with sound judgment
• 3+ years of experience in data engineering, data architecture, or related roles.

Required skills

• ETL Pipelines, Data Integration, Python, SQL, Relational and NoSQL Databases, Cloud Data Platforms, Databricks, Apache Airflow, Data Modeling, Data Warehousing, Git, Data Validation and Testing

Preferred skills

• Written and Verbal Communication

Experience

• 3+ years