At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference. The Sr. Analytics Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, WI will develop new and refactor existing data pipelines for different products using different ETL tools like SSIS, Informatica, Airflow, DAG. Automate and schedule pipelines sourcing from different database like SQL Server, Netezza, Databrick, S3 and cloud services. Maintain data accuracy and consistency by implementing data transformations using Python libraries of Pandas, matplotlib, numpy and SQL. Guide and mentor team members in implementing ETL design architecture, code standards and code reviews. Work with Data Scientists to design data models for training and development. Collaborate with business stakeholders to understand business problems and provide technical solutions. Work within a data warehouse and data lake environment with AWS data science and analytics cloud technologies including S3, EMR, Spark, PySpark, RDS, JupyterLab, and Sagemaker. Lead efforts to migrate on-premise data systems to cloud platforms like AWS, GCP and Azure. Implement interactive dashboards for key metrics that provide insights and decision making. Participate in Agile implementation and maintenance of source control and release procedures including CI/CD pipelines. Administer production repository with GitLab for new and existing features. Telecommuting permitted. Salary $136,406- $203,840 per year. Minimum Requirements: Master’s degree in Computer Science or a related field and 3 years (or a Bachelor’s degree plus 5 years) of experience as a Data Analytics Engineer or a related occupation. Experience must include 3 years with each of the following: (1) data architecture, data engineering, and SQL; (2) working within a data warehouse and data lake environment with AWS data science and analytics cloud technologies including S3, EMR, Spark, PySpark, RDS, JupyterLab, and Sagemaker; (3) data warehouses including Redshift or Snowflake; (4) digital analytics tools including Adobe Analytics and Heap; (5) data acquisition, data cleansing, feature engineering, software debugging, and software documentation; (6) Python and cloud compute skills; (7) continuous integration and deployment concepts; and (8) navigating database models and database management systems to create data sets for analytics and model training and development. Interested candidates send resume to apply@northwesternmutual.com. Reference code 378 in the subject line. Any wage range listed here supersedes corresponding wage ranges listed within the Pay Transparency Guide. 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 additional information pertaining to compensation and benefits. At Northwestern Mutual, we believe relationships are built on trust. That our lives and our work matter. These beliefs launched our company over 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual. What started in Milwaukee, WI has grown into 7,000 home office professionals split across 3 campuses: New York City, Franklin and downtown Milwaukee (HQ) - each one bringing with it its own unique talent and culture. 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 as we are growing our digital and tech capabilities and are always on the lookout for bright, tech-savvy candidates. Northwestern Mutual is proud to be an equal opportunity and affirmative action employer. We have chosen to build a diverse and inclusive workplace where talented people from all backgrounds want to be, want to stay, and want to build their future. We celebrate and support our differences for the benefit of our employees, our products, and our community. 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.