Data Engineer II (Databricks, AWS)

Travelers • Atlanta, GA

3d

About The Position

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.

Requirements

• Bachelor’s Degree in STEM related field or equivalent.
• Eight years of related experience.
• Highly proficient in Cloud platforms (AWS preferred, Azure considered), Databricks (5-6 years), Python, and SQL, with hands-on experience applying fundamental data engineering practices.
• Deep domain expertise in immediate systems and working knowledge of adjacent ones; adept at identifying industry trends and delivering complete solutions incrementally at a steady, predictable pace.
• Strong problem solver with a track record of building resilient, innovative systems while effectively navigating tradeoffs and balancing short- and long-term priorities; experience with AI assistants such as Claude and Databricks Genie is a plus.
• Excellent communicator and collaborative team player with demonstrated ability to partner with stakeholders and customers, foster a safe learning environment for engineers, and proactively identify opportunities while driving team accountability.
• 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.

Nice To Haves

• experience with AI assistants such as Claude and Databricks Genie is a plus.

Responsibilities

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommending 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.

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 is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level