Senior Data Engineer – Databricks, Snowflake, ETL

Travelers

. Build and operationalize complex data solutions .

Posted 9/17/2026full-timeHartford • Connecticut • United StatesSenior💰 $139,400 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operationalizing complex data solutions, applying data governance, security, and quality practices, while leveraging advanced cloud platforms and data engineering methodologies. Strong ability to analyze data sources for value and educate end users on data products and analytics environments.

Highest-signal resume keywords

Data Engineering ExperienceData PipeliningDatabricksAWSETL Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingData WarehousingData GovernanceData QualityData CleansingData AnalysisAutomated TestingQuality AssuranceSystem Health MonitoringProgramming Languages

Soft Skills

Problem-SolvingCommunicationLeadershipDocumentationBusiness Partnership

Tools & Technologies

SnowflakeDBTAbInitioInformaticaAzure

Industry Keywords

Data SolutionsData StrategiesAI ToolsTechnical LeadershipCloud Platforms

Tech Stack

Tools & technologies

AWSAzureCloudETLInformatica

About the role

Key responsibilities & impact

Build and operationalize complex data solutions
Correct problems, apply transformations, and recommend data cleansing and quality solutions
Design complex data solutions and incorporate new data sources
Ensure designs are consistent across projects and aligned with data strategies
Analyze complex data sources to determine value and recommend data for analytical processes
Apply data governance, data security, and data quality practices
Act as a data and technology subject matter expert within lines of business
Support delivery and educate end users on data products and analytics environments
Analyze, assess, and resolve high-complexity data and system defects and incidents
Collaborate across teams to support delivery
Perform other duties as assigned

Requirements

What you’ll need

Bachelor’s degree in computer science, related STEM field, or equivalent in education and/or work experience
Six additional years of data engineering experience
Ten years of related experience
Experience with data pipelining, data processing, and data warehousing
Experience with Databricks, Snowflake, and DBT
Proficiency with ETL tools such as AbInitio or Informatica
Experience with AWS or Azure
Demonstrated technical leadership and/or supervisory experience
Experience leveraging AI tools and technologies
Advanced knowledge of cloud platforms, programming languages, and modern software engineering practices
Experience with design strategy, automated testing, quality assurance, and system health monitoring
Strong problem-solving and domain expertise
Excellent communication, documentation, business partnership, leadership, and influence skills

Benefits

Comp & perks

Health insurance from the first day of employment for employees and eligible family members
401(k) matching dollar-for-dollar up to the first 5% of eligible pay
Paying it Forward Savings Program with annual 401(k) contributions for student loan payments
Pension Plan 100% funded by Travelers
Minimum 20 days Paid Time Off annually
Nine paid company Holidays
Wellness program with tools, discounts, resources, and caregiving support
Free professional counseling services and health coaching
Matching Gift and Volunteer Rewards program