Data Engineering Lead designing and optimizing scalable data pipelines for a property insurance company. Collaborating across teams, mentoring engineers, and driving data architecture initiatives.
About the role
- Senior Data Engineer leading the design and implementation of enterprise data strategies for Kemper Insurance's analytics and business intelligence initiatives.
Responsibilities
- Provide technical leadership to data engineers, setting standards for solution design, coding practices, data governance, and quality.
- Define and evolve the enterprise data architecture leveraging Snowflake, Data Vault 2.0, and modern event driven and ELT frameworks.
- Architect and oversee the delivery of scalable data pipelines, ingestion frameworks, and transformation processes using Snowflake, Python, Spark, Informatica (PowerCenter/IDMC), AWS Glue, and cloud-native tooling.
- Partner with product owners, business stakeholders, architects, and analytics teams to deliver high-impact data solutions.
- Ensure operational reliability, data accuracy, and performance of enterprise data warehouse and analytical environments.
Requirements
- 8+ years of experience in data engineering, with 2+ years in a senior, lead, or architect capacity.
- Advanced hands-on expertise in Snowflake, including constant learning on advanced new features.
- Strong experience implementing Data Vault 2.0 models and automated ELT frameworks.
- Proficiency with ETL/ELT and data integration tools such as Informatica IDMC, PowerCenter, Pentaho, AWS Glue, Control M and Python-based pipelines.
- Deep understanding of data warehousing and analytics engineering principles.
- Strong SQL expertise with experience in stored procedures, Snowflake Scripting, and complex query optimization.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent relevant experience/certifications.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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