Lead Data Engineer overseeing engineers and advancing the data platform at American Family Insurance. Creating tools and infrastructure to empower teams across the company.
About the role
- Data Engineer at Vanguard building client information reporting capabilities with Python and SQL. Leading integration of new services and processes in a hybrid working model.
Responsibilities
- Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
- Troubleshoots software and processes for data consistency and integrity.
- Integrates large scale data from a variety of sources for business partners to generate insight and make decisions.
- Translates business specifications into design specifications and code.
- Responsible for writing complex programs, ad hoc queries, and reports.
- Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
- Partners with internal clients to gain an enhanced understanding of business functions and informational needs.
- Gains expertise in tools, technologies, and applications/databases in specific business areas and company-wide systems.
- Leads all phases of solution development.
- Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
- Tests code thoroughly for accuracy of intended purpose.
- Reviews end product with the client to ensure adequate understanding.
- Provides data analysis guidance as required.
- Designs and conducts training sessions on tools and data sources used by the team and self provisioner's.
- Provides job aids to team members and business users.
- Tests and implements new software releases through regression testing.
- Identifies issues and engages with vendors to resolve and elevate software into production.
- Participates in special projects and performs other duties as assigned.
Requirements
- Advanced SQL development
- Advanced Python development
- AWS experience
- Minimum of five years data analytics, programming, database administration, or data management experience.
- Undergraduate degree or equivalent combination of training and experience.
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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