Data Engineer Analyst

Lincoln Financial Group-posted about 1 month ago

$69,000 - $124,600/Yr

Full-time • Entry Level

Hybrid • Philadelphia, PA

5,001-10,000 employees

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The Customer360 is Lincoln Financials' enterprise data lake and mastering platform with hands-on support for advanced analytics, machine learning and AI, and service integrations across the technology portfolio including actuarial, digital and web and product platforms. A Data Engineer on the Customer360 team supports the platform architecture, design and implementation of enhancements, surfaces and vets emerging capabilities and partners with teams across the enterprise to implement their business cases.

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.

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

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

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