Data Engineer II (Tech Lead) - AWS, Databricks, Snowflake

About the Role

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate stories found in data by leveraging a variety of data programming techniques. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.

Responsibilities

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Design complex data solutions.
• Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.
• Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

Requirements

• Bachelor’s Degree in STEM related field or equivalent.
• Eight years of related experience.
• Demonstrable experience architecting, designing and building scalable, secure data solutions using AWS, Databricks, Snowflake and Ab>Initio or similar platforms.
• A track record of leveraging AI assistants, create skills/tools to augment data engineering practices throughout the development lifecycle.
• The ability to lead technical direction for data engineering initiatives across cloud and on-premises infrastructure.
• Willingness to run mentoring sessions and offer technical guidance to the 20-person admin team.
• Ability to manage infrastructure deployment and optimize cloud resources.
• Drive to learn, identify and set technical standards and influence engineering practices and data governance policies.
• Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.

Skills

• Cloud: Proficiency with commonly used AWS services and architectures for data and analytics solutions.
• Databricks: Workspace management, cluster configuration, open table formats (Iceberg, Delta Lake), Unity Catalog, building and tuning Spark/pySpark/SQL workloads.
• Data Warehousing: Strong understanding of data modeling, dimensional modeling (star/snowflake schemas) and medallion (bronze/silver/gold) architecture.
• AI Coding Assistants: Familiarity using Claude Code, Codex, Copilot, Cursor, etc. for day-to-day engineering tasks.
• AbInitio: Proficiency with GDE, Co>Operating System, and EME, including maintaining and optimizing existing graphs.
• CI/CD for data: Git-based workflows, branching strategy, and pipeline automation (e.g., GitHub Actions, GitLab CI, or Jenkins).
• Infrastructure as Code (e.g., Terraform): Familiarity with a configuration-driven, repeatable approach to environments.
• Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understanding of modern software engineering practices.
• The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs.
• Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems.
• Strong problem solver who ensures systems are built with longevity and creates innovative ways to resolve issues.
• Strong written and verbal communication skills with the ability to collaborate well with team members and business partners.
• Ability to lead team members and help create a safe environment for others to learn and grow as engineers, and a proven track record of self-motivation in identifying opportunities and tracking team efforts.

Qualifications

• Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
• 4 additional years of data engineering experience.

Pay

The annual base salary range for this position is $126,500.00 - $208,700.00. The actual salary will be determined by factors including scope, complexity, location, skills, education, training, credentials, and experience. Employees are also eligible for performance-based cash incentive awards as part of the comprehensive compensation and benefits program.

Benefits

• Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
• Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
• Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
• Wellness Program: The Travelers wellness program includes tools, discounts, and resources to support wellness goals and caregiving needs. Access to free professional counseling services, health coaching, and other resources is also provided.
• Volunteer Encouragement: Travelers offers a Matching Gift and Volunteer Rewards program to encourage community involvement.