Data Engineer II — Build Scalable Data Pipelines

Find a- Textron; United States; On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

On-site fitness center

Generous time off

Tuition reimbursement

Health/dental benefits

401(k) matching

Job summary

Textron in Providence, RI is seeking a Data Engineer II to architect, develop, and optimize robust data infrastructure that powers data-driven initiatives across the organization. You will lead complex data projects, mentor junior engineers, and collaborate with data scientists and analysts to ensure high-quality, well-governed data assets that support strategic decision-making.

The role requires strong programming, ETL/ELT expertise, and hands-on experience with Databricks, Airflow, Synapse,

Qualifications

• Bachelor’s or Master’s degree in CS/IS/Engineering or 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 (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.

Responsibilities

• Design, architect, and maintain scalable 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.

Skills

Python

Java

SQL

NoSQL

Data modeling

AWS

Azure

GCP

ETL pipelines

Airflow

Databricks

CI/CD

Git

Education

Bachelor's or Master's in CS/IS/Engineering or related field

Tools

Databricks

Airflow

Synapse

PostgreSQL

MongoDB

Snowflake

BigQuery

Git

Azure DevOps

Job description

Textron in Providence, RI is seeking a Data Engineer II to architect, develop, and optimize robust data infrastructure that powers data-driven initiatives across the organization. You will lead complex data projects, mentor junior engineers, and collaborate with data scientists and analysts to ensure high-quality, well-governed data assets that support strategic decision-making.

The role requires strong programming, ETL/ELT expertise, and hands-on experience with Databricks, Airflow, Synapse,