Data Engineer Analyst

Lincoln Financial Group; Philadelphia (Philadelphia County); Remote; USD 69,000 - 125,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you will play a crucial role in supporting an enterprise data lake and mastering platform. This innovative firm is looking for someone who can analyze complex data, collaborate with cross-functional teams, and help enhance data quality and reliability. With a focus on advanced analytics, machine learning, and AI, you will have the opportunity to make a meaningful impact on business strategies. The role offers a dynamic work environment with remote flexibility, career development opportunities, and a commitment to diversity and inclusion. If you are passionate about data and eager to drive business success, this position is perfect for you.

Benefits

Tuition assistance program

Free financial counseling

Health coaching

Employee assistance program

Leadership development opportunities

Flexible work hybrid situations

Effective productivity tools

Qualifications

• 4+ years of experience in data engineering or equivalent.
• Familiarity with AWS services and data modeling.

Responsibilities

• Analyze complex data to support business goals.
• Build data models and pipelines for analytics.

Skills

Data Engineering

AWS

Python

SQL

Data Analysis

Machine Learning

API Integrations

Education

Bachelor's degree in Data Engineering

4 years of equivalent work experience

Tools

AWS EKS

AWS EC2

AWS S3

Gitlab

Dataiku

Tableau

PowerBI

Job description

Be Aware of Fraudulent Recruiting Activities: Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.

Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. Please contact Lincoln's fraud team at [e-mail] if you encounter a recruiter or see a job opportunity that seems suspicious.

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.
• 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 above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln’s standard benefits package.

About The Company

Lincoln Financial Group helps people to plan, protect and retire with confidence. As of Dec. 31, 2023, approximately 17 million customers trust our guidance and solutions across four core businesses – annuities, life insurance, group protection and retirement plan services. As of December 31, 2023, the company had $295 billion in end-of-period account balances, net of reinsurance. Headquartered in Radnor, Pa., Lincoln Financial Group is the marketing name for Lincoln National Corporation (NYSE: LNC) and its affiliates. Learn more at LincolnFinancial.com.

Lincoln is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.