Data Engineer Analyst at Lincoln Financial Philadelphia, PA

Lincoln Financial; Philadelphia (Philadelphia County); Hybrid; USD 69,000 - 124,600; Full time

Benefits offered by this job

Clearly defined career tracks

Leadership development opportunities

PTO/parental leave

Tuition assistance program

Free financial counseling

Job summary

Lincoln Financial is seeking a Data Engineer Analyst in Philadelphia, PA. This role involves organizing data to support business strategies, collaborating with stakeholders, and building data models. Ideal candidates will have a Bachelor's degree or equivalent experience in Data Engineering, along with proficiency in AWS services and programming languages like SQL and Python. Benefits include clear career development paths, tuition assistance, and a hybrid work environment.

Qualifications

• 1 - 3+ years of data engineering experience, which can include internships.
• Familiarity with programming languages and machine learning methods.
• Ability to collaborate with stakeholders on projects.

Responsibilities

• Organizes and analyzes complex data to support strategic goals.
• Build or support data models and pipelines.
• Identify opportunities for data acquisition across Lincoln’s systems.

Skills

Data modeling

Data analysis

Programming languages

Collaboration skills

Process improvement

Education

4 Year/Bachelor's degree or equivalent work experience

Tools

AWS services (EKS, EC2, S3, Cloudwatch)

Gitlab

Dataiku or similar platforms

Tableau

PowerBI

SQL

Python

API service integrations

Job description

Data Engineer Analyst job at Lincoln Financial. Philadelphia, PA.

Alternate Locations: Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina)

Work Arrangement:

Hybrid Preferred: Preferred employee will work 3 days a week in a Lincoln office

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

• 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
• Free financial counseling, health coaching and employee assistance program
• Tuition assistance program
• Work arrangements that work for you
• 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.

Equal Opportunity Employer

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.

Lincoln will not ask applicants to provide their social security number, date of birth, bank account information or other sensitive information in job applications. Lincoln’s recruiters do not communicate through free e­mail accounts or conduct interviews in video chat rooms. We do not ask for payment during hiring or provide offers without formal interviews.

Lincoln’s Offer of Employment may be contingent upon disclosure of political contributions. The company may decline or terminate employment if it determines that undisclosed political contributions could have an adverse impact on business interests or if there is non‑disclosure of applicable contributions or fundraising activities.

Lincoln participates in E‑Verify. See the E‑Verify notices.