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

We're strong and growing.  In a company with such a long and storied history, this may be the most exciting and important time to be a part of Northwestern Mutual. We're strong, innovative and growing.
We invest in our people.  We provide opportunities for employees to grow themselves, their career and in turn, our business.
We care.  We make a positive difference in our communities. Nationally, thousands have benefitted from our support of research and programs to fight childhood cancer. Each year, our Foundation, employees and financial representatives donate time, talent and financial support to causes they're passionate about.
At Northwestern Mutual, we believe relationships are built on trust.  That our lives and our work matter. These beliefs launched our company nearly 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual.

Primary Duties & Responsibilities:

  • Acquire, analyze, combine, synthesize, and structure data with clear definitions and sources for analytical consumption

  • Consult with data consumers to identify meaningful datasets for analytical consumption.

  • Develop data products using continuous 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                   

  • Participate in code reviews and provide feedback to the team


  • Bachelor's Degree

  • 1-3 years of professional experience

  • At least 1 year of professional experience in data acquisition, cleansing, feature engineering, debugging and software documentation, using languages such as SQL, Scala, Python

  • At least 1 year experience with specific technical requirements/platforms will vary (i.e.  AWS data science and analytics cloud technologies such as S3, EMR, Spark, PySpark, RDS, JupyterLab, Sagemaker, etc., data warehouses such as Redshift or Snowflake; and digital analytics tools such as Adobe Analytics and Heap)                

  • Experience using continuous integration and deployment concepts

  • Experience navigating various types of database models and DBMS’s to create data sets for analytics and model training and development.

  • Experience with Testing or data accuracy/quality designs 

  • Proficient programming skills   

  • Strong Python and cloud compute skills

  • Strong SQL skills and background in ETL 

  • Familiar with distributed data systems and applications.

  • Familiar with data lake design and implementation considerations such as columnar storage formats (Parquet) and partitioning

  • Understanding of analytics and data science applications

  • Understanding of requirement driven data models such 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.

  • Understands data flow so that data can be shared across the company with one source of truth being the goal.

  • Build data validation to insure integrity for user consumption

  • Familiar and aware of regulations around the use of PII data. 

  • Familiarity with data lake environments

  • Ability to explain their technical solutions to technical teams and non-technical teams

  • Excellent written and verbal communication skills

  • Exceptional analytical, conceptual, and problem-solving skills.

  • Self-motivated and seeking to learn

  • Experience with Agile methodologies and DevOps environment

  • Experience with user adhoc tools; power bi, business objects, Tableau

Compensation Range:

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Pay Range - End:


Please note that this 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.

Grow your career with a best-in-class company that puts our client’s interests at the center of all we do. Get started now!

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.


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.