Senior Data Engineer
About The Position
The Senior Data Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin will apply engineering best practices in order to analyze, design, develop, deploy and support software solutions. Develop software using continuous deployment and integration practices along with leverage vendor supplied solutions to fulfill organizational goals around large analytical and operational data platforms. Participate in Agile implementations and maintenance of source control and release procedures. Participate in Code Reviews and provide feedback to team. Explain technical solutions to technical teams. Understand data platforms, data lake technology, and strategies to expand business use cases of such technology. Build and maintain a platform level observability framework. Work with large data platforms and solutions in support of an enterprise data lake solution. Incorporate enterprise observability platforms into frameworks for logging, alerting, and monitoring for scalability, reliability, and predictability. Assist in the definition of platform SLIs, SLOs, and SLAs. Identify data quality issues and their root causes and propose fixes and design data audits.
Requirements
- Bachelor’s degree in Computer Science or related field
- 4 years of experience as a data engineer or related occupation
- 4 years of experience with Python, JVM (Java, Scala), Apache Spark, SQL, Terraform, and YAML configuration as code
- 4 years of experience with Agile methodologies and DevOps environment
- 4 years of experience with Data Integration Patterns and Tooling including ELT/ETL, EII, Replication, Event Streaming, Virtualization to support batch and real-time data needs
- 4 years of experience with Enterprise Data platforms in support of a data lake including Airflow, Starburst
- 4 years of experience with Terraform
Responsibilities
- Apply engineering best practices to analyze, design, develop, deploy and support software solutions.
- Develop software using continuous deployment and integration practices.
- Leverage vendor supplied solutions to fulfill organizational goals around large analytical and operational data platforms.
- Participate in Agile implementations and maintenance of source control and release procedures.
- Participate in Code Reviews and provide feedback to team.
- Explain technical solutions to technical teams.
- Understand data platforms, data lake technology, and strategies to expand business use cases of such technology.
- Build and maintain a platform level observability framework.
- Work with large data platforms and solutions in support of an enterprise data lake solution.
- Incorporate enterprise observability platforms into frameworks for logging, alerting, and monitoring for scalability, reliability, and predictability.
- Assist in the definition of platform SLIs, SLOs, and SLAs.
- Identify data quality issues and their root causes and propose fixes and design data audits.
Benefits
- Salary $113,922- $222,300 per year
- Fairness and transparency in salary range communication
- Opportunities for career growth
- Equal opportunity employer
- Environment where employees can contribute creative ideas, seek challenges, assume leadership, and focus on meeting and exceeding business and personal objectives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
