Lincoln Financial is a company that helps people confidently plan for their future through various financial products. They are seeking a Data Engineer to support their Customer360 platform by organizing and analyzing complex data, enhancing data quality, and collaborating with business stakeholders to implement data-driven solutions.
Responsibilities
- Organizes, interprets, and analyzes more complex data across their area of responsibility to support business and corporate strategic goals
- Familiarity with several programming languages and knowledge of learning machine methods commonly used in data science applications
- Build or support creation of data models and pipelines
- Evaluate business needs and objectives of our users, assist in project scoping
- Help prepare data for prescriptive and predictive modeling
- Combine raw and provisioned information from different data sources
- Explore ways to enhance data quality and reliability and develop procedures to implement improvements
- Identify opportunities for data acquisition across Lincoln’s systems
- Ability to collaborate with business stakeholders, data scientists and architects on simple to complex projects
- Identifies and recommends process improvements that significantly reduce workloads or improve quality for their assigned area(s) of responsibility
- Maintains an understanding of how the data contained in the various systems are utilized, and is able to triangulate various aspects of the data into a usable format to support decision making
- Serves as a resource to advise management & business stakeholders on use of quality business analytics, tools, and methods to improve efficiency, accuracy, and interpretation of various business metrics
Skills
- 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of Bachelor's) in Data Engineering (Minimum Required)
- 1 - 3+ Years of data engineering experience, which can include internships while completing a degree
- Working knowledge of AWS services EKS, EC2, S3, Cloudwatch and others
- Working knowledge of code based CICD ETL programs using Gitlab with AWS
- Foundational knowledge of Dataiku or similar Data Science Modelling and Automation Platforms
- Foundational knowledge of visualization tools (Tableau, PowerBI)
- Foundational knowledge of various languages like SQL and Python
- Working knowledge of API service integrations
Benefits
- Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes
- Leadership development and virtual training opportunities
- PTO/parental leave
- Competitive 401K and employee benefits
- Free financial counseling, health coaching and employee assistance program
- Tuition assistance program
- Work arrangements that work for you
- Effective productivity/technology tools and training
Company Overview
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