Senior Data Engineer

Location(s)

Details

Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Job Title: Data Engineer

Position Responsibilities:

• Collaborate with Data Architecture and other Data Engineering groups maintaining a focus on operationalizing data flows in the service of data science and analytics groups.
• Build and maintain event capture/transformation flows, feature repositories, data cache for real-time analytics and more.
• Assist in the development of data lake / landing zone strategy and develop extract/transformation process from it to serve business needs.
• Understand and coordinate with data extraction, cleansing and feature engineering activities of the data science teams minimizing duplication and maximizing reusable code.
• Develop data pipelines that can be leveraged in both model training and production execution.

Position Qualifications:

• Very strong SQL skills and ability to adapt those skills in multiple relational technologies (Redshift, Hive, SparkSQL etc.)
• Proficient with at least one ETL tool such as Informatica, Pentaho, SAP, etc.
• Strong Python data skills with Pandas, as well as XML parsing.
• Message systems such as Amazon Kinesis or Apache Kafka.
• Positive, constructive collaboration and communication skills.

Minimal Experience:

• Both traditional ETL and schema on read transformation techniques.
• Experience with AWS environment and tooling.
• Experience with building automated data pipelines
• Experience with Jenkins
• Experience with Apache Spark and Hadoop.

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.

Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

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