Job Description

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

Analytics Engineer Sr.

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

This is a phenomenal opportunity for a driven, individual who has a good background in development of data and analytic solutions to come in and make an immediate impact. We are a highly transparent group that contributes groundbreaking data solutions that effect change and promote positive financial results for our end clientele.

Location: Franklin, WI OR Open to Remote Work

Responsibilities:

We are looking for someone who will work diligently in a collaborative environment. This individual will:

Designs and performs data extraction, assessment, translation, transformation, and load (ETL) processes

* In charge of building data equity, it's underlying code, tools, databases, and related infrastructure

* Coordinates and maintains existing data engineering pipelines to their full extent of engineering needs

* Translates strategic needs into engineering goals and milestones

* Analyzes data needs and identifies available internal and external sources.

* Utilizes business and analytical data modeling skills to craft data integration and structure approaches.

* Utilizes programming skills to access and extract data from diverse sources residing on multiple platforms and implement large, sophisticated data models by combining, synthesizing and structuring data from databases, files and spreadsheets.

* Assures data consistency and reliability. Performs quality checks, contributes to metadata and data dictionaries, documents repeatable extract, transform and load processes.

* Provides mentor and mentorship to less experienced engineers.

Skills Required:

* Bachelor's degree in Computer Science, MIS, or related field

* 5+ years of experience in data engineering

* Data systems architecture experience, crafting larger scale data engineering solutions, break down to smaller goals, prioritization

* Experience with relational data engineering eco systems (preferably sophisticated disbursed data)

* Code/ETL knowledge in SQL and one or more of the following Informatica, python, scala, java, Bash, SnapLogic

* Analytics understanding is a must, past experience a plus

* Proven track record to work independently

* Can execute alone but is an awesome team player

* Experience with Agile methodologies/Dev Ops environment.

* Master's degree in Computer Science, MIS, or related field

* Database administration experience

* Financial Services industry background

* Cloud experience a strong plus

* Project management experience (ability to work a project from conception to delivery)

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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.