Senior Engineer - Finance Data Specialist

GEICO; San Francisco (CA); Remote; USD 150,000 - 215,000; Full time

Job summary

GEICO is seeking a Data Engineer to design and implement robust data solutions using cloud data platforms. This role involves collaborating across engineering and finance to build data lakes and warehouses, enhancing the organization’s data processing capabilities. Candidates should have extensive experience in data engineering and related tools like DBT and SQL, along with a Bachelor’s degree in a relevant field.

Benefits

Flexible workplace

401K with a 6% match

Performance-based incentives

Tuition assistance

Comprehensive benefits package

Qualifications

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

Responsibilities

• Design, develop, and maintain data ingestion solutions.
• Build data solutions using cloud platforms like Azure and Snowflake.
• Collaborate cross-functionally in the software development lifecycle.

Skills

Data processing

ETL/ELT tools

SQL

Python

Data analysis

Education

Bachelor’s degree in computer science or equivalent

Tools

Azure

Delta Lake

Snowflake

Informatica

DBT

Airflow

Power BI

Tableau

Job description

Employer Industry: Insurance

Why consider this job opportunity:
- Salary up to $215,000
- Opportunity for career advancement and growth through personalized development programs
- Flexible workplace with the ability to work from anywhere in the U.S. for up to four weeks per year
- Comprehensive benefits package including 401K with a 6% match, performance-based incentives, and tuition assistance
- Supportive and inclusive company culture that values diverse perspectives

What to Expect (Job Responsibilities):
- Design, develop, implement, and maintain solutions for data ingestion and transformation projects
- Build data solutions using cloud data platforms such as Azure, Delta Lake, and Snowflake
- Construct a finance data lake/warehouse utilizing data processing and transformation tools like DBT and Airflow
- Collaborate cross-functionally throughout the software development lifecycle
- Analyze and translate business requirements into technical specifications

What is Required (Qualifications):
- 7+ years of experience in building data warehouses using cloud platforms and data tools
- Strong knowledge of data processing and transformation with ETL/ELT tools such as Informatica and DBT
- Proficiency in SQL or Python, including the ability to write, debug, and optimize code
- 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 teams
- Understanding of project management techniques and best practices

#Insurance #DataEngineering #CareerGrowth #FlexibleWork #DataAnalytics

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