Data Engineer Analyst

Alternate Locations: Radnor, PA (Pennsylvania); Greensboro, NC (North Carolina); Philadelphia, PA (Pennsylvania)

 

 Work Arrangement:

Remote : Work at home employee residing outside of a commutable distance to an office location.

 

Relocation assistance:  is not available for this opportunity.

 

Requisition #: 74460

 

The Role at a Glance

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. 

What you'll be doing

• 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.

What we’re looking for

Must-Have Experience (Required):

• 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

Application Deadline

Applications for this position will be accepted through May 15th, 2024, subject to earlier closure due to applicant volume. 

 

What’s it like to work here?

At Lincoln Financial Group, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future. 

 

What’s in it for you:

• Clearly defined career tracks and job levels, along with associated behaviors for each Lincoln leadership Attribute.

• 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

• A leadership team that prioritizes your health and well-being; offering a remote work environment and flexible work hybrid situations

• Effective productivity/technology tools and training

 

The pay range for this position is $69,000 - $124,600 with anticipated pay for new hires between the minimum and midpoint of the range and could vary abo