
Data Engineer, Finance Data Team
Are you a skilled data engineer with a strong background in finance? Are you looking for an exciting opportunity to join a dynamic team and make an impact in the insurance industry? Look no further! Geico Auto Insurance is seeking a talented Data Engineer to join our Finance Data Team. In this role, you will have the opportunity to work with cutting-edge technologies and collaborate with a team of highly motivated individuals to drive data-driven solutions for our growing company. We are looking for someone with a passion for finance and data, who is detail-oriented, and has a strong problem-solving mindset. If this sounds like you, we invite you to apply and bring your skills to the table at Geico Auto Insurance.
- Design and develop data pipelines to extract, transform and load financial data from various sources into our data warehouse.
- Collaborate with cross-functional teams to identify and understand business requirements and translate them into technical solutions.
- Utilize your strong finance background to analyze data and provide insights to drive business decisions.
- Optimize data structures and storage for efficient data retrieval and processing.
- Troubleshoot and resolve any data quality issues and ensure data integrity.
- Develop and maintain data models, schemas, and dictionaries to support data analytics.
- Keep up-to-date with emerging technologies and trends in the data engineering and finance industries to bring innovative solutions to the team.
- Mentor and provide guidance to junior data engineers to help them grow their skills and knowledge.
- Communicate effectively with team members and stakeholders to provide updates on project progress and identify any potential roadblocks.
- Continuously improve and streamline data processes to increase efficiency and accuracy.
- Take ownership of data engineering projects from conception to completion.
- Adhere to data privacy and security protocols to protect sensitive financial data.
- Participate in meetings and brainstorming sessions to contribute ideas and solutions to business challenges.
- Collaborate with data scientists and analysts to develop predictive models and data visualizations.
- Develop and maintain technical documentation for data engineering processes and solutions.
Bachelor's Degree In Computer Science, Information Systems, Or A Related Field.
Minimum Of 3 Years Of Experience In Data Engineering, Preferably In The Finance Or Insurance Industry.
Proficiency In Sql, Python, And Other Data Manipulation And Analysis Tools.
Knowledge Of Data Warehousing Concepts And Experience With Etl Processes.
Understanding Of Financial Data And Reporting, Including Experience With Financial Databases And Systems.
Financial Reporting
Business Intelligence
Data Analysis
Database Management
Data Modeling
Data warehousing
Data Manipulation
Data Visualization
ETL Development
SQL querying
Data Cleansing
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer, Finance Data Team in Seattle, WA, USA is $120,000 - $160,000 per year. However, this can vary depending on factors such as experience, education, and the specific company or industry the Data Engineer is working in. Some companies may offer higher salaries for more experienced Data Engineers or those with specialized skills in finance and data analysis. It is also important to note that salaries may be impacted by the cost of living in a particular city or region.
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The Government Employees Insurance Company is an American auto insurance company with headquarters in Chevy Chase, Maryland. It is the second largest auto insurer in the United States, after State Farm. It's Parent organization is Berkshire Hathaway.

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