Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Facilitate the creation of Analytics solutions that align with UFG’s strategic objectives.

• Collaborate with Data Analysts, Data Scientists, Actuaries, and the wider UFG team to establish and execute enterprise data strategies.

• Develop resilient, fault-tolerant data pipelines that cleanse, transform, and aggregate data into databases.

• Supply data in a ready-to-use format for members of the Enterprise Analytics team.

• Identify, analyze, and interpret trends or patterns within complex datasets.

• Automate manual processes, optimize data delivery, and enhance the scalability of infrastructure.

• Contribute to the design, construction, installation, testing, and maintenance of scalable data warehouse solutions.

• Develop data tools that promote efficiency and enhance decision-making.

• Recognize new projects, opportunities, and associated data requirements.

• Investigate data acquisition opportunities and potential new uses for existing data.

• Recommend and implement strategies to enhance data reliability, efficiency, and quality.

• Research and apply new technologies to advance processes and architecture.

• Maintain codebases utilizing version control systems such as Git and SVN.

• Diagnose and resolve issues promptly.

• Educate, train, and mentor junior Data Engineers.

• Collaborate throughout the organization to achieve project objectives.

• Design, build, and implement analytics solutions for users across the organization.

• Identify complex business challenges and architect viable solutions.

• Foster team development by mentoring colleagues.

⛳️ Requirements

• Bachelor’s degree in computer science or a related technical field.

• Advanced proficiency in SQL and experience with relational databases.

• Familiarity with methodologies and processes for managing large-scale databases.

• Programming experience with ETL tools (e.g., SSIS).

• Proven experience in managing large datasets in both structured and semi-structured formats.

• Over 7 years of experience as a data engineer or in a similar role.

• Experience in Property and Casualty (P&C) insurance is preferred.

• Strong analytical capabilities with a focus on detail and accuracy.

• Ability to evaluate existing tools and databases and provide actionable recommendations.

• Excellent verbal communication skills.

• Capacity to deliver incremental value through Agile Development Methodologies.

• Proficient in queries, report writing, and presenting findings.

• Ability to convert business requirements into non-technical, understandable terms.

• Strong sense of ownership and ability to collaborate across various teams.

• Understanding of star/snowflake schemas as general data warehousing methodologies (e.g., Kimball).

• Working knowledge of Tableau or similar Business Intelligence tools is preferred.

🏝️ Benefits

• Annual incentive compensation.

• Medical, dental, vision, and life insurance.

• Accident, critical illness, and short-term disability insurance.

• Retirement plans with employer contributions.

• Generous time-off program.

• Programs designed to support employee well-being and financial security.

• Continuing education is encouraged throughout careers.