Allstate is seeking a Senior Data Engineer to design data infrastructure projects and proof-of-concept business solutions for analytics and Data Science users. This role works directly with business users, data scientists, and analytic engineers to execute new ETL work tracks from inception and prototyping to fully developed solutions. Key Responsibilities Partner on new ideas and initiatives, executing rapid development of data and analytic work tracks in quick sprints. Leverage agile data analysis with parallel processing/programming, software/programming languages (Oracle, SQL, Python, Power BI, Fabric), and high analytic agility. Work closely with Data Science and business partners to bring data engineering needs from ideation to working pilots/deliverables. Provide technical direction to peers and AOR partners, understanding changing analytic needs and assisting in goal development. Execute data exploration, data engineering, testing, and implementation. Develop prototypes for business/research solutions that meet organization standards. Support/develop data infrastructure for predictive modeling and analytics, including monitoring, quality, and validation. Develop enterprise data assets, information platforms, or data spaces. Develop test plans, prepare test data, reconcile data sources, and execute functional tests. Mentor team members and promote innovation and process improvement. Qualifications 3+ years of experience preferred. No supervisory duties. Equivalent combination of education and experience may be considered in lieu of education requirements. Skills Business Intelligence (BI) Communication Computer Programming Data Analytics Data Engineering Data Visualization Product Roadmapping Python SQL Compensation $98,100 - $167,850 annually, based on experience and qualifications. Additional Information Background investigation required. Allstate generally does not sponsor employment-based visas for this position. Remote work: employees eligible to work from home receive a monthly connectivity reimbursement. Requires a dedicated, private workspace and reliable internet (minimum 50 MB download / 5 MB upload). Interview process: virtual interviews require camera on and valid photo ID (internal candidates exempt from ID).
Overview
$98,100 – $167,850 / year
hybrid
full-time
2-4 years of experience (senior level)
Technologies
- OracleSQLPythonPower BIFabric
Responsibilities
- Partner on new ideas and initiatives, executing 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 (e.g., Oracle, SQL, Python, Power BI, Fabric) paired with high analytic agility.
- Work closely with Data Science and business partners to take defined needs from ideation to working pilots/deliverables.
- Provide direction to peers or AOR partners on technical solutions as a team expert.
- Execute data exploration, data engineering, testing, and implementation.
- Develop prototypes for business or research solutions and ensure they meet organization standards.
- Support/develop data infrastructure for predictive modeling and analytics, including monitoring, quality, and validation processes.
- Develop enterprise data assets, information platforms, or data spaces for exploring and understanding data.
- Develop test plans and scripts, prepare test data, reconcile data sources, and execute functional tests.
- Mentor other team members and promote innovation and process improvement.
Qualifications
- 3+ years of experience preferred.
- No supervisory duties.
- Equivalent combination of education and experience may be considered in lieu of education requirements.
Benefits
- Comprehensive technology setup (laptop, monitors, headset, keyboard, mouse).
- Monthly connectivity reimbursement for eligible remote employees.