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, with one-on-one personal training, group classes, or workouts alongside teammates
• Generous time-off package
• Employee Resource Groups
• Workplace activities
• Mentorship and knowledge-sharing
• Industry-leading 401(k) matching
• Generous tuition reimbursement
• Comprehensive health and dental coverage
• 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

• Apache Airflow, BigQuery, Data Modeling, Databricks, ETL Pipeline Development, Java, MongoDB, PostgreSQL, Python, SQL, Scala, Snowflake

Preferred skills

• Written and Verbal Communication

Experience

• 3+ years