Data Engineer - IL WFH

 Posted 12 days ago
     
 $43.43 - $51.04 per hour
  
2-5 years experience
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AI Summary

Supports the implementation of the organization's Data and Analytics strategy to increase data accessibility. Develops and maintains database models, ELT processes, and data integration solutions.

Are you ready to make the most of your talents and abilities, while helping others make the most of their finances?

Apply to join Team CEFCU!

CEFCU member service team members are critical to the success of the credit union. They provide a professional, knowledgeable, and caring experience when members contact us. We are looking for individuals who are personable, articulate, and positive to add to our already awesome team!

Supports and helps implement CEFCU's Data and Analytics strategy. Helps to increase timely, transparent accessibility across the organization for CEFCU’s enterprise data via appropriate analytics and reporting resources. Helps expand, maintain and administer CEFCU’s primary analytics environment, including data model and dictionary, ELT processes, connector development, and more. Develops database models/data integration solutions and supports existing data solutions/platforms.

Hours:

Monday - Friday: 8:00 a.m. - 4:30 p.m.Required: • Bachelor’s degree in computer or information science, or equivalent experience • 2-4 years working with high-level programming languages such as Python • 4-6 years’ experience and knowledge of SQL • 2-4 years’ experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement • Strong written and verbal communication skills • Strong problem solving and analytical skills Preferred: • Fintech systems experience • 3-5 years advanced working SQL knowledge and experience working with relational databases, data governance/data modeling, query authoring (SQL) as well as working familiarity with a variety of databases • 1-3 years’ experience working with Microsoft SQL Server or Microsoft Azure • 1-3 years’ experience working with ETL or ELT in a data warehouse, data lake, or data mart environment. • 1-3 years’ experience data modeling (logical/physical, relational) • Strong analytic skills related to working with structured and/or unstructured datasets.

Summary Pay Range

The anticipated starting pay range for this position is $43.43 - $51.04.

The pay range listed represents the anticipated starting range for a successful candidate. Final compensation will be based on factors such as experience, skills, and qualifications.

Please note that salary is only one component of total compensation at CEFCU.

 

Benefits

Financial

Merit-based raises

Health and Welfare

Generous paid time off (Holiday, Personal or Sick Time, Vacation)

Comprehensive Medical, Dental, and Vision coverage (PPO, HDHP)
Flexible Spending Plan (Medical Reimbursement Account and Dependent Care Reimbursement Account)

Health Savings Account

Voluntary Benefits (Accident Plan, Critical Illness Plan, Hospital Indemnity Plan, Identity Theft & Fraud Protection Plan, Legal Plan)

Life Insurance

Accidental Death & Dismemberment Insurance

Disability Benefits

Defined Benefit Plan – Pension 

Defined Contribution Plan – 401K

Additional Benefits

Employee Assistance Program

Tuition reimbursement

Career growth through internal job postings

Management Development Program: formal mentoring and training

Opportunities to help improve and build the CEFCU of tomorrow through process teams

Opportunities to personally contribute to corporate financial literacy and community initiatives

Casual days to support local charities

Employee discounts on entertainment, cell phone plans, theme park tickets, and more

On-site fitness center, fitness classes, and wellness program

It is CEFCU’s policy and intent to provide equal opportunity to all persons without regard to race, color, religion, political affiliation, sex/gender (including gender expression/identity, pregnancy, childbirth and related medical conditions), marital status, registered domestic partner status, sexual orientation, age, ancestry, national origin, veteran status, disability, medical condition, genetic characteristics, and/or any other basis protected by law. This policy covers all facets of employment including, but not limited to: recruitment, selection, placement, promotions, transfers, demotions, terminations, training, and compensation.

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