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Data Engineer

Date: Jan 6, 2023

Location: Erie, PA, US, 16530

Company: Erie Insurance

Division or Field Office:

Office Of The President

Department of Position: Data Department 

Work from:

Corporate Office in Erie, PA

 

At Erie Insurance, you’re not just part of a Fortune 500 company; you’re also a valued member of a diverse and inclusive team that includes more than 5,000 employees and over 2,200 independent agencies.  Our Employees work in the Home Office complex located in Erie, PA, and in our Field Offices that span 12 states and the District of Columbia. 

We strive to be Above all in Service® to our customers—and to our employees. That’s why Erie Insurance offers you an exceptional benefits package, including:

•          Premier health, prescription, dental, and vision benefits for you and your dependents. Coverage begins your first day of work.

•          Low contributions to medical and prescription premiums. We currently pay up to 97% of employees’ monthly premium costs.

•          A pension. We are one of only 13 Fortune 500 companies to offer a traditional pension plan. Full-time employees are vested after five years of service.

•          A 401(k) with up to 4% contribution match. The 401(k) is offered in addition to the pension.

•          Paid vacation, personal days, sick days, bereavement days and parental leave.

•          Career development, including a tuition reimbursement program for higher education and industry designations.

•          Additional benefits that include company-paid basic life insurance; short-and long-term disability insurance; orthodontic coverage for children and adults; adoption assistance; fertility and infertility coverage; well-being programs; paid volunteer hours for service to your community; and dollar-for-dollar matching of your charitable gifts, up to $12,500 a year.

 

Position Summary

Designs, constructs, tests, and maintains data management systems of moderate complexity used for reporting, analysis, and research. Supports ERIE’s software developers, database architects, analysts, and data scientists on data initiatives and ensures optimal data delivery consistently throughout ongoing projects. 

 

  • The Hiring Manager will also consider candidates for Associate or Sr. Data Engineer.  Level of position offered will be based upon the depth and breadth of selected candidate’s experience and qualifications.  
  • Successful candidates for this role will have experience with, but not limited to, NOSQL Databases, relational databases, data integration techniques, cloud based data stores and REST API use.

Duties and Responsibilities

Identifies, designs, and implements internal process improvements including automating manual data acquisition and optimizing data delivery.

Integrates new data management technologies into existing data structures.

Develops set processes of moderate complexity to prepare data for analysis, predictive modeling, and research.

Develops moderately complex programs to extract and manipulate analytical and research data.  Includes data from both internal and external sources.

Creates tools for data team members that assist them in research and analysis.

Works with data and analytics experts to strive for greater functionality in our data systems.

Collaborates closely with business and IT partners to ensure data management technologies are designed and implemented as intended.

Completes special projects as required.

The first 4 duties listed are the functions identified as essential to the job. Essential functions are those job duties that must be performed in order for the job to be accomplished.

This position description in no way states or implies that these are the only duties to be performed by the incumbent. Employees are required to follow any other job-related instruction and to perform any other duties as requested by their supervisor, or as become evident. 

Competencies

Customer Focus
Nimble Learning
Values Diversity
Collaborates
Cultivates Innovation
Decision Quality
Ensures Accountability
Instills Trust
Optimizes Work Processes
Self-Development

Qualifications

Minimum Educational Requirements and Experience Equivalencies:

Master’s degree in Computer Science, Mathematics, or related field plus one year related experience; or

Bachelor’s degree in Computer Science, Mathematics, or related field plus two years’ related experience; or

Associate’s degree in technical field, plus four years’ related experience; or

High school diploma plus six years’ related experience, required.

Physical Requirements

Climbing; Rarely
Driving; Occasional (<20%)
Lifting 0-20 lbs; Occasional (<20%)
Lifting 20-50 lbs; Occasional (<20%)
Lifting Over 50 lbs; Rarely
Manual Keying/Data Entry; Frequent (50-80%)
Pushing/Pulling; Rarely


Nearest Major Market: Erie