Senior Data Analytics Engineer

Join our Innovative and Dynamic Team!

We are currently seeking a Senior Data Analytics Engineer to join our team at CLR (Contracting, Licensing, Registrations). As a key member of our diverse team, you will play a crucial role in supporting field onboarding processes and driving data-driven decision-making across our organization.

Responsibilities:

• Collaborate with business and product partners to determine reporting priorities and support day-to-day operations
• Design, build, and support analytics and reporting systems
• Build analytical and operational reports to promote field growth and enhance day-to-day operations
• Maintain and enhance the existing data platform, including real-time data streaming, data aggregation, and Power BI dataset creation
• Develop and maintain infrastructure and data pipelines using AWS, DMS, and Terraform
• Ensure data accuracy through comprehensive testing, including unit testing, regression testing, and end-to-end testing
• Support API development for data consumption and analytics needs
• Demonstrate reports to business stakeholders and possess strong business communication skills
• Work effectively in a rapidly changing, sprint-based agile development environment

Requirements:

• Minimum 5+ years of data engineering and analytics experience
• Extensive experience with ETL/replications solutions like Spark, DMS etc
• Strong knowledge of AWS database offerings, including Redshift, MySQL, and Aurora
• Proficiency in DevOps practices: GIT, CI/CD, Terraform, Monitoring, and Logging
• Hands-on experience with Python, JavaScript, SparkSQL, and REST API consumption
• Familiarity with containerization technologies such as Docker and Kubernetes
• Strong expertise in Power BI for report building and backend dataset management
• Familiarity with testing methodologies: unit testing, regression testing, and end-to-end testing
• Ability to adapt to existing frameworks built on Spark and JavaScript
• Experience translating business user needs into technical solutions with a focus on performance and accessibility
• Practical application of data warehousing concepts, methodologies, and frameworks using traditional (Redshift, Snowflake, etc.) and modern (SparkSQL, Hadoop, Kafka) distributed technologies
• Familiarity with cloud-native architectures and serverless computing
• Understanding of data governance and data security best practices

Value Adding:

• Knowledge of machine learning and AI technologies for advanced analytics
• Knowledge of stream processing frameworks like Apache Kafka

Benefits:

• Competitive base salary
• Performance-based incentive pay opportunity
• Comprehensive medical, dental, and vision insurance
• Life insurance, survivor, and disability protection
• Pension plan
• Flexible paid time off and volunteer time
• Career development resources and training
• Educational assistance program
• Employee assistance program
• Adoption assistance and parental leave program
• On-site medical centers (Wisconsin campuses)
• 24/7 access to on-site fitness centers (Wisconsin campuses)

If you are a self-motivated, experienced Senior Data/Analytics Engineer with a passion for driving innovation and making an impact, we would love to hear from you. Join our team and be part of our exciting journey towards scalable cloud-native architecture and unified experiences.

#LI-Hybrid

Northwestern Mutual pays on a geographic-specific salary structure and placement in the salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity as well as the cost of labor in the market; and other conditions of employment. At Northwestern Mutual, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Please note that the salary range listed in the posting is the standard pay structure. Positions in certain locations (such as California) may provide an increase on the standard pay structure based on the location. Please click here for additional information relating to location-based pay structures.

We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.

If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for information pertaining to compensation and benefits.