Senior Data Engineer
About The Position
This role designs data infrastructure projects and proof-of-concept business solutions for analytics and Data Science users. The Senior Data Engineer works directly with business users, data scientists, and analytic engineers to understand needs and develop tactical solutions. The role delivers new ETL work tracks for Data Science and analytics, from inception and prototyping through fully developed solutions and transition to Allstate technology. The position supports predictive modeling and analytics through data infrastructure, enterprise data assets, information platforms, and data spaces that enable users to explore and understand data. It also develops prototypes, testing and validation processes, and solutions that meet organizational standards. As a team expert, the role provides technical direction to peers or AOR partners and mentors teammates in a business-technical environment. The job has no supervisory duties.
Requirements
- Experience with computer programming, data analytics, data engineering, data visualization, business intelligence, product roadmapping, Python, and SQL.
- Technology fluency in parallel processing/programming and software or programming languages.
- Ability to work with business users, data scientists, analytic engineers, and peers to develop and implement data solutions.
Nice To Haves
- Three or more years of experience (preferred).
Responsibilities
- Partner on new ideas and initiatives and rapidly develop data and analytics work tracks through quick sprints and iteration.
- Use agile data analysis and technology fluency in parallel processing, programming, and tools such as Oracle, SQL, Python, Power BI, and Fabric to address changing business needs.
- Work with Data Science and business partners to turn defined data engineering and analytics needs into working pilots and deliverables.
- Provide technical direction to peers or AOR partners, understand changing user and Data Science needs, and assist with goals and work tracks to meet those needs.
- Perform data exploration, data engineering, testing, and implementation.
- Develop prototypes for business or research solutions that meet organizational standards and help users explore features, expose design assumptions, and drive ideation before implementation.
- Support and develop data infrastructure for predictive modeling and analytics; implement monitoring, quality, and validation processes to ensure data accuracy.
- 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 team members and promote an environment that supports innovation and process improvement.
Benefits
- Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
- Employees eligible to work from home receive a monthly connectivity reimbursement to help offset internet costs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
