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The Travelers Companies, Inc. jobs

Data Engineer II (Python, AWS, Databricks)

123,000 - 203,000 USD
The Travelers Companies, Inc.
Tower Square 1, Hartford
123,000 - 203,000 USD
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Bachelor’s degree in a STEM related field or equivalent. - A minimum of four years of data engineering or equivalent experience. - Eight years of related experience preferred. - Highly proficient in tools, techniques, and manipulation, including cloud platforms, programming languages, and a full understanding of modern software engineering practices. - Ability to deliver work consistently and predictably while identifying important trade-offs. - Strong problem-solving skills with a focus on building long-lasting systems and innovative solutions. - Excellent written and verbal communication skills and the ability to collaborate with team members and business partners. - Proven track record of self-motivation in identifying opportunities and tracking team efforts. - Experience with Python, AWS, Databricks, Snowflake, SQL, Docker, Terraform, and Git Actions is a plus.

Responsibilities

- Build and operationalize complex data solutions, troubleshoot problems, apply transformations, and recommend data cleansing/quality solutions. - Design intricate data solutions and perform analysis of complex data sources to determine value and recommend data inclusion in analytical processes. - Incorporate core data management competencies, including data governance, security, and quality. - Collaborate with different teams to support the delivery of complex data products and educate end users on the analytics environment. - Conduct data and system analysis, assess and resolve complex defects and incidents. - Test data movement, transformation code, and data components. - Perform additional duties as assigned.

Description

At Travelers, we prioritize the well-being of our customers, communities, and each other. This commitment, part of the Travelers Promise, has sustained our reputation as a leading property casualty insurer for over 160 years. We foster a culture of innovation and collaboration, creating an environment where you will love what you do and where you do it. Our compensation package is designed to be competitive in the market, with an annual base salary range of $123,000.00 to $203,000.00, depending on various factors including your skills and experience. You will also have access to performance-based cash incentive awards as part of our comprehensive benefits program. In this role, you will focus on Data and AI product implementation to enhance our underwriting and operations models, building and supporting new products essential for our daily risk management. We are proud to be an equal opportunity employer, emphasizing diversity and inclusion within our workforce. We encourage community involvement and offer a variety of programs to support employee wellness and volunteer efforts. Join us at Travelers and be part of a team that is dedicated to excellence and innovation!
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You can find Data Engineer salaries in the United States here.

How many Data Engineer jobs are in the United States?

Currently, there are 2170 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.

Is the US a good place for Data Engineers?

The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Data Engineer jobs in the United States?

Capgemini, The Travelers Companies, Inc., Murmuration, Leidos, SciTec, Cognizant, Vanguard among others, are currently hiring for Data roles in the United States.

The company with most openings is Leidos as they are hiring for 466 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.