Senior Data Engineer
Indexed description
Minimum Requirements: Bachelor’s degree in Computer Science or related field plus 4 years of experience as a data engineer or related occupation. Experience must include at least 4 years of experience with each of the following: (1) Python, JVM (Java, Scala), Apache Spark, SQL, Terraform, and YAML configuration as code; (2) Agile methodologies and DevOps environment; (3) Data Integration Patterns and Tooling including ELT/ETL, EII, Replication, Event Streaming, Virtualization to support batch and real-time data needs; (4) Enterprise Data platforms in support of a data lake including Airflow, Starburst; and (5) Terraform.
Interested candidates send resume to [email protected]. Reference code 688 in the subject line.
We believe in fairness and transparency. It’s why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. If noted, this is standard pay structure for this position.
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Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.
If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for additional information pertaining to compensation and benefits.
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We’re excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging.
- Flexible work schedules
- Concierge service
- Comprehensive benefits
- Employee resource groups
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