Senior Data Engineer

UFG Insurance

. Facilitate the development of Analytics solutions supporting UFG’s strategic plan .

Posted 10/26/2026full-timeRemote • United StatesSenior💰 $103,221 - $136,105 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data pipelines and data warehouse solutions, with a strong focus on data reliability and efficiency. Proficient in SQL, ETL processes, and data analysis, while effectively collaborating across teams to drive analytics initiatives.

Highest-signal resume keywords

Advanced SQL KnowledgeETL Tool Experience (e.g. SSIS)Data Warehouse Design (Star/Snowflake Schemas)Agile Development MethodologyP&C Insurance Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData AnalysisData TransformationDatabase ManagementData Quality ImprovementVersion Control (Git, SVN)Report WritingData Tool CreationData Acquisition ResearchTroubleshooting

Soft Skills

Strong Analytical SkillsAttention to DetailStrong Verbal CommunicationMentoringCollaboration

Tools & Technologies

TableauSSISRelational DatabasesData Warehousing ToolsVersion Control Systems

Industry Keywords

Data EngineeringAnalytics SolutionsEnterprise Data StrategiesLarge Scale DatabasesStructured and Semi-Structured DataData ReliabilityData EfficiencyData Patterns AnalysisBusiness Problem SolvingData Infrastructure Scalability

Tech Stack

Tools & technologies

ETLSnowflakeSQLSSISSubversionTableau

About the role

Key responsibilities & impact

Facilitate the development of Analytics solutions supporting UFG’s strategic plan
Work with Data Analysts, Data Scientists, Actuaries, and the broader UFG team to develop and implement enterprise data strategies
Build robust, fault-tolerant data pipelines that clean, transform, and aggregate data into databases
Provide data in a ready-to-use format to Enterprise Analytics team members
Identify, analyze, and interpret trends or patterns in complex data sets
Automate manual processes, optimize data delivery, and enhance infrastructure scalability
Contribute to the design, construction, installation, testing, and maintenance of scalable data warehouse solutions
Create data tools that drive efficiencies and improve decision making
Identify new projects, opportunities, and associated data requirements
Research data acquisition opportunities and new uses for existing data
Recommend and implement methods to improve data reliability, efficiency, and quality
Research and implement new technologies to evolve processes and architecture
Maintain codebases using version control tools such as Git and SVN
Troubleshoot and resolve issues in a timely manner
Educate, train, and mentor newer Data Engineers
Collaborate across the organization on project goals
Design, build, and implement analytics solutions for users across the organization
Identify complex business problems and architect potential solutions
Enable team growth by mentoring peers

Requirements

What you’ll need

Bachelor’s degree in computer science or related technical degree
Advanced SQL knowledge and experience working with relational databases
Experience in methodologies and processes for managing large scale databases
Programming experience with ETL tool(s) (e.g. SSIS)
Demonstrated experience in handling large datasets, structured and semi-structured data formats
7+ years of work experience as a data engineer or equivalent experience
P&C insurance experience preferred
Strong analytical skills with attention to detail and accuracy
Ability to analyze existing tools and databases and provide recommendations
Strong verbal communication skills
Ability to deliver incremental value via an Agile Development Methodology
Adept at queries, report writing, and presenting findings
Ability to translate business requirements into non-technical, lay terms
Ability to take ownership and collaborate across the organization
Understanding of star/snowflake schemas as general data warehousing methodologies (i.e. Kimball)
Working knowledge of and experience with Tableau or similar BI tool preferred

Benefits

Comp & perks

Annual incentive compensation
Medical, dental, vision & life insurance
Accident, critical Illness & short-term disability insurance
Retirement plans with employer contributions
Generous time-off program
Programs designed to support the employee well-being and financial security
Continuing education encouraged throughout careers