Data Engineer II: AWS, PySpark, SQL | Build AI Pipelines

The Travelers Companies, Inc.; Saint Paul (MN); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health Insurance

401(k) matching

Paid Time Off

Wellness Program

Volunteer Encouragement

Job summary

The Travelers Companies, Inc. is seeking a Data Engineer to enhance its analytics landscape. In this role, you will design, build and deploy data solutions that enable data-driven decision making across the organization. Ideal candidates should possess a Bachelor's degree in a STEM field and six years of related experience, with proficiency in cloud platforms and strong analytical abilities.

The role requires collaboration with teams to ensure data quality and to support business intelligence initiatives. Join us to help shape the future of data handling in our enterprise.

Qualifications

• 6 years of experience in data engineering or equivalent.
• Proficient use of tools, techniques, and manipulation including programming languages.
• Strong verbal and written communication skills.

Responsibilities

• Build and operationalize complex data solutions.
• Collaborate within and across teams to support delivery.
• Perform data and system analysis for defects and incidents.

Skills

Data engineering

Cloud platforms (AWS)

SQL

Databricks

PySpark

Software engineering practices

Education

Bachelor's Degree in STEM related field

Tools

Cloud platforms

SQL

Databricks

PySpark

Job description

The Travelers Companies, Inc. is seeking a Data Engineer to enhance its analytics landscape. In this role, you will design, build and deploy data solutions that enable data-driven decision making across the organization. Ideal candidates should possess a Bachelor's degree in a STEM field and six years of related experience, with proficiency in cloud platforms and strong analytical abilities.

The role requires collaboration with teams to ensure data quality and to support business intelligence initiatives. Join us to help shape the future of data handling in our enterprise.