Senior Engineer - Finance Data Specialist

GEICO; Chicago (IL); Remote; USD 130,000 - 215,000; Full time

Job summary

A leading insurance company is seeking a skilled Data Engineer in Chicago to design, develop, and maintain solutions involving data ingestion and transformation. This role offers a competitive salary, opportunities for career growth, and a flexible work environment, all while contributing to innovative projects using advanced cloud technologies.

Benefits

Comprehensive benefits package

401K plan with 6% match

Tuition assistance

Flexible work arrangements

Inclusive company culture

Access to industry-leading training

Qualifications

• 7+ years of experience building data warehouses using cloud platforms.
• Strong knowledge of ETL/ELT tools like Informatica and DBT.
• Proficiency in SQL or Python is required.

Responsibilities

• Design and maintain data ingestion solutions.
• Manage finance data lake using various data tools.
• Collaborate across teams to meet business needs.

Skills

SQL

Python

ETL/ELT tools

Data warehousing

Cloud data technologies

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Information Systems

Bachelor’s degree in Engineering

Bachelor’s degree in Business Administration

Tools

Informatica

DBT

Power BI

Tableau

Azure

Delta Lake

Iceberg

Snowflake

Redshift

Airflow

Job description

Employer Industry: Insurance

Why consider this job opportunity:
- Salary up to $215,000.00
- Opportunity for career advancement and growth within the organization
- Flexible work arrangements, including the ability to work from anywhere in the U.S. for up to four weeks per year
- Comprehensive benefits package, including a 401K plan with a 6% match and tuition assistance
- Supportive and inclusive company culture that values diverse perspectives and employee recognition
- Access to industry-leading training and personalized development programs

What to Expect (Job Responsibilities):
- Design, develop, implement, and maintain solutions for data ingestion and transformation projects
- Build data solutions utilizing cloud data technologies such as Azure, Delta Lake, Iceberg, Snowflake, or Redshift
- Create and manage a finance data lake/warehouse using tools like DBT, Airflow, and Data Hub
- Collaborate cross-functionally throughout the software lifecycle to support business needs
- Analyze and translate business specifications into technical specifications for implementation

What is Required (Qualifications):
- 7+ years of experience building data warehouses using leading cloud platforms and data tools
- Strong working knowledge of ETL/ELT tools such as Informatica and DBT
- Proficient in SQL or Python with the ability to write, debug, and optimize code and ETL jobs
- Experience implementing analytical solutions using tools like Power BI or Tableau
- Bachelor’s degree in computer science, Information Systems, Engineering, Business Administration, or equivalent experience

How to Stand Out (Preferred Qualifications):
- Finance domain expertise
- Ability to communicate effectively with users across Technology and Finance
- Sound understanding of project management techniques and best practices

#Insurance #DataEngineering #CareerOpportunity #CompetitivePay #InclusiveCulture

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