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Senior Analytics Engineer

At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.

Primary Duties & Responsibilities:

  • Lead day-to-day work to acquire, analyze, combine, synthesize, and structure data with clear definitions and sources for analytical consumption
  • Collaborate with data consumers to identify significant datasets
  • Lead development of data products using deployment and integration practices
  • Apply engineering best practices in order to analyze, design, develop, deploy and support data analytics products
  • Participate in agile story authoring, sizing, and demo sessions for product features
  • Lead code reviews and provide feedback to the team
  • Mentor junior engineers

Knowledge, Skills, Abilities:

  • At least 4 years of professional experience in data acquisition, cleansing, feature engineering, debugging and software documentation, using modern languages and practices.
  • Experience using continuous integration and deployment concepts
  • At least 3+ year experience with technical requirements/platforms will vary (i.e. AWS data science and analytics cloud technologies such as S3, Spark, PySpark, RDS, JupyterLab, Sagemaker, etc.)
  • Proficiency navigating various types of database models and DBMS’s to build data sets for analytics and model training and development.
  • Experience developing solutions using agile methods
  • Experience working in data lake environments
  • Experience guiding the work of junior developers
  • Experience with Testing or data accuracy/quality designs
  • Strong Python and cloud compute skills – including Infrastructure as Code (IoC) tools like Terraform, Ansible, and Packer
  • Strong SQL skills and background in ETL
  • Strong understanding of distributed data systems and applications.
  • Proficiency with data lake design and implementation considerations such as columnar storage formats (Parquet) and partitioning
  • Deep understanding of analytics and data science applications
  • Experience with machine learning systems
  • Development of requirement driven data models such as dimensional and relational.
  • Understanding of the business domain and the meaning of the data in it to accurately identify key and associated data which can be extracted, transformed and loaded for effective consumption downstream.
  • Develop the data flow so that data can be shared across the company with one source of truth being the goal.
  • Understanding and awareness of regulations around the use of PII data.
  • Ability to see the big picture and incorporate business understanding into design and approach to achieve current value and prepare for future benefit.
  • Ability to provide thought leadership throughout the local scrum team
  • Ability to explain technical solutions to technical teams and non-technical teams
  • Outstanding analytical, conceptual, and problem-solving skills.
  • Excellent written and verbal communication skills
  • Self-motivated and able to work with minimal direction
  • Above all – curiosity to know more!

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This job is not covered by the existing Collective Bargaining Agreement.

Required Certifications:

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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 Colorado or outside of a Corporate location, please click here for 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 commitment to diversity and inclusion.