Senior Data Engineer (Generative AI, Cloud, AWS, Python, Snowflake)

Key Skills

Aartificial intelligence, AWS, Data cleaning / Data cleansing, Data pipelines, Design, Effective communication skills, Keras software library, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Snowflake, TensorFlow, Transformer

Job Description

Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$130,200.00 – $214,900.00

Target Openings

1

What Is the Opportunity?

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members’ growth and develop data solutions that translate complex data into user-friendly terminology. 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.

This role is part of the technology organization supporting our dynamic, innovative and industry leading Claim organization. The convergence of technology, data and AI is creating an unprecedented opportunity to evolve the way we work and transform the claim experience. Claim Technology has leaned into modern technologies and is relentlessly focused on creating a technology ecosystem that is nimble and well positioned for future business needs. If you are a technologist who enjoys solving complex business problems in a collaborative, inclusive, and iterative delivery environment and a continuous learner that embraces new tech and greenfield work, this is the role for you.

What Will You Do?

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
• Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
• 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.
• Act as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products/analytic environment.
• Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.
• Collaborate across team to support delivery and educate end users on complex data products/analytic environment.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Bachelor’s Degree in STEM related field or equivalent
• Ten years of related experience
• Strong python skills
• Cloud platform experience with EKS would be good to have
• Experience with unstructured data is a plus
• Knowledge and/or experience with Any of the vector databases (Pinecone, Chroma, Milvus)

• Experience on Python with the more recent large language models (GPT-4, Stable Diffusion models, others, other more focused language models)
• Experience with AI platforms such as SageMaker, MLFlow, others, preferred Experience with building machine/deep learning models with at least one common framework such as PyTorch, TensorFlow, Keras, Scikit learn etc.
• Up-to-date with the latest research in machine learning and natural language processing, especially large language models and dialog systems
• Maintain awareness of and utilize where appropriate, state-of-the-art AI including Generative models as well as more classic NLP models, etc.
• Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
• Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.
• Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers.
• Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize.
• Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas.
• Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.

What is a Must Have?

• Bachelor’s degree or equivalent training with data tools, techniques, and manipulation.
• Five years of data engineering or equivalent experience.
• Strong python skills

What Is in It for You?

• 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 is comprised of tools and resources that empower you to achieve your wellness goals. In addition, our Life Balance program provides access to professional counseling services, life coaching and other resources to support your daily life needs. Through Life Balance, you’re eligible for five free counseling sessions with a licensed therapist.
• Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.