Data Engineer I - Databricks, SQL & Data Pipelines

The Travelers Indemnity Company; Hartford (CT); On-site; USD 109,300 - 180,200; Full time

Benefits offered by this job

Health Insurance

Retirement plans

Paid Time Off

Wellness Program

Volunteer Encouragement

Job summary

The Travelers Indemnity Company in Hartford, CT, is seeking a Data Engineer to join our Data Engineering team. You will design, build, and deploy data solutions that support AI, ML, and BI initiatives, translating business needs into scalable pipelines.

Ideal candidates will have a strong background in SQL, Databricks, and data modeling, with experience in Python and PySpark. This role offers robust benefits, a generous base salary, and opportunities for impact across the enterprise.

Qualifications

• Bachelor’s degree in STEM or equivalent required.
• Six years of related experience required.

Responsibilities

• Build and operationalize complex data solutions, including transformations and quality improvements.
• Design data solutions tailored to business needs and analytics goals.
• Analyze data sources to determine value and inclusion.
• Incorporate data governance, security, and quality controls into pipelines.
• Collaborate with cross-functional teams to support delivery and educate users on data products.
• Perform data and system analysis, diagnosing defects and incidents of moderate complexity.
• Test data movement, transformations, and data components.
• Perform other duties as assigned.

Skills

SQL

Databricks

Qlik

MicroStrategy

GitHub

Python

PySpark

Data modeling

Data governance

Data security

Stakeholder comms

Education

BSc in STEM or equivalent

Bachelor’s in computer science

Job description

The Travelers Indemnity Company in Hartford, CT, is seeking a Data Engineer to join our Data Engineering team. You will design, build, and deploy data solutions that support AI, ML, and BI initiatives, translating business needs into scalable pipelines.

Ideal candidates will have a strong background in SQL, Databricks, and data modeling, with experience in Python and PySpark. This role offers robust benefits, a generous base salary, and opportunities for impact across the enterprise.