Data Engineer II (Tech Lead)

Travelers

Hartford (CT)

On-site

USD 127,000 - 209,000

Full time

14 days+

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Benefits offered by this job

Health Insurance

401(k) match

Pension Plan (100% funded by Travelers

Paid Time Off

Company Holidays

Wellness Program

Volunteer Encouragement (Matching Gift

Job summary

Travelers is seeking a Data Engineer II with Tech Lead responsibilities to design, build, and operationalize complex data solutions powering AI, ML, and enterprise analytics. This onsite role in Hartford, CT combines hands-on data engineering with leadership duties to guide data initiatives across cloud platforms and ETL environments.

Responsibilities include building data solutions, ensuring data governance and quality, and collaborating with cross-functional teams to deliver reliable data

Qualifications

Bachelor's Degree in STEM related field or equivalent.
Eight years of related experience.
Proficiency in ETL tools (Abinitio, Databricks) with AWS cloud platforms, Python and SQL.
Ability to deliver work at a steady, predictable pace and release in small batches.
Strong data governance, security and quality knowledge.
Excellent written and verbal communication and collaboration skills.
Experience leading team members and fostering a learning environment for engineers.

Responsibilities

Build and operationalize complex data solutions and data cleansing/quality initiatives.
Design and implement complex data solutions.
Analyze data sources and determine value for analytics.
Incorporate data governance, security and quality across lifecycle.
Collaborate across teams to support delivery and educate end users.
Perform data and system analysis, resolve defects and incidents.
Test data movement and transformation code.

Skills

Data engineering

Leadership

Communication

Problem solving

Education

Bachelor's degree in STEM field

Bachelor's degree in Computer Science

Tools

Abinitio

Databricks

AWS

Python

SQL

Job description

Travelers is seeking a Data Engineer II with Tech Lead responsibilities to design, build, and operationalize complex data solutions that power AI, ML, and enterprise analytics. This onsite role in Hartford, CT, combines hands-on data engineering with leadership duties to guide data initiatives across cloud platforms and ETL environments. The position emphasizes delivering reliable data products while incorporating governance, security, and quality throughout the data lifecycle.

Responsibilities

Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
Design complex data solutions.
Analyze complex data sources to determine value and usage, 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 and analytic environments.
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.
Highly proficient in ETL tools (Abinitio, Databricks), with AWS cloud platforms, programming languages (Python, SQL), and modern data engineering practices.
Ability to deliver work at a steady, predictable pace to meet commitments, release complete solutions in small batches, and identify and negotiate important tradeoffs.
Proven domain expertise with understanding of technical concepts and industry trends, plus in-depth knowledge of current systems and some knowledge of adjacent systems.
Strong problem solver who designs for longevity and develops innovative ways to resolve issues.
Strong written and verbal communication skills and the ability to collaborate effectively with team members and business partners.
Ability to lead team members and foster a safe environment for others to learn and grow as engineers; self motivated with a track record of identifying opportunities and tracking team efforts.
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.

Technologies