Senior Data Engineer - Remote Analytics & Data Strategy

Allstate Foundation; Illinois; On-site; USD 98,000 - 168,000; Full time

Job summary

Allstate Foundation is seeking a data analytics professional to partner with data science and business teams, delivering rapid, iterative data engineering and analytics solutions. You will explore, validate, and operationalize data to support predictive modeling and decision-making, while mentoring teammates in a fast-paced, innovation-driven environment.

The role emphasizes collaboration with cross-functional partners, building prototypes, and ensuring data quality and scalable data assets for

Qualifications

• 4+ years of experience in data analytics or data engineering.
• Experience with agile data analysis and rapid development.
• Proficiency with SQL, Python, and BI tools.

Responsibilities

• Partner on new ideas and initiatives, and executes rapid development of new data and analytic work tracks with fast iteration over quick sprints.
• Leverage agile data analysis with technology fluency in parallel processing/programming, software/programming languages and SQL/Oracle/Python/Power BI to meet business needs.
• Work with Data Science and business partners to take data science needs from ideation to pilots/deliverables.
• Provide direction to peers on technical solutions and track goals to meet user needs.
• Execute data exploration, data engineering, testing and implementation.
• Develop prototypes for business or research solutions and ensure they meet standards for visualization and exploration.
• Support data infrastructure for predictive modeling and analytics, with monitoring and data quality measures.
• Develop enterprise data assets and information platforms for data exploration.

Skills

BI

Communication

Computer Programming

Data Analytics

Data Engineering

Data Visualization

Product Roadmapping

Python

SQL

Tools

Oracle

SQL

Python

Power BI

Fabric

Job description

Allstate Foundation is seeking a data analytics professional to partner with data science and business teams, delivering rapid, iterative data engineering and analytics solutions. You will explore, validate, and operationalize data to support predictive modeling and decision-making, while mentoring teammates in a fast-paced, innovation-driven environment.

The role emphasizes collaboration with cross-functional partners, building prototypes, and ensuring data quality and scalable data assets for