Data Engineer II

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
• Mentorship and knowledge-sharing
• Industry-leading 401(k) matching
• Generous tuition reimbursement
• Comprehensive health, dental, and more
• Glassdoor
• 3.8
• Textron Inc. is a multi-industry company that leverages its global network of aircraft, defense, industrial and finance businesses to.
• Providence, Rhode Island, USA
• http://textron.com
• Public Company
• Total Funding
• $1B
• 2025-10-16
• Post Ipo Debt· $1B
• 1978-01-13
• IPO
• Leadership Team
• Jörg Rautenstrauch
• President and Chief Executive Officer, Industrial Segment, Kautex and Textron Specialized Vehicles
• Todd Kackley
• VP & CIO
• Recent News
• Dallas Innovates
• Patented: Urban Air Founder’s Indoor Slide Designs and 175 More Inventions Across North Texas
• 2026-09-18
• The Motley Fool

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

• Data Engineering, ETL Pipelines, Python, Java, and Scala, SQL, PostgreSQL, MongoDB, Snowflake, and BigQuery, Databricks, Airflow, and Synapse, AWS, Azure, and Google Cloud Platform, Data Modeling and Data Warehousing, Git, Azure DevOps, and CI/CD, Data Validation and Testing Frameworks, Data Pipeline Optimization

Experience

• 3+ years