Welcome to State Farm! We are seeking a highly motivated and skilled Data Engineer to join our dynamic team. As a Data Engineer, you will play a crucial role in analyzing and optimizing our vast amounts of data to drive business decisions and enhance the customer experience. We are looking for someone who is passionate about utilizing cutting-edge technology to solve complex data challenges. If you thrive in a fast-paced environment and have a strong background in data engineering, we want to hear from you!
- Design and develop data pipelines to extract, transform, and load large and complex data sets from various sources.
- Collaborate with cross-functional teams to understand and gather data requirements for business needs.
- Develop and maintain data models for efficient storage and retrieval of data.
- Apply data cleansing, validation, and quality checks to ensure the accuracy and completeness of data.
- Utilize advanced data analytics techniques to identify trends and patterns in large data sets.
- Optimize data infrastructure and processes to improve data quality, reliability, and efficiency.
- Troubleshoot and resolve data-related issues in a timely manner.
- Develop and maintain data documentation, including data dictionaries and data lineage.
- Stay updated on industry trends and advancements in data engineering techniques and technologies.
- Collaborate with data scientists and analysts to identify and implement data-driven solutions.
- Communicate complex data concepts and findings to non-technical stakeholders.
- Ensure compliance with data privacy and security regulations.
- Participate in code reviews and provide constructive feedback to improve code quality.
- Take ownership of data engineering projects and deliver them within agreed timelines.
- Foster a culture of continuous improvement by identifying and implementing process enhancements.
Bachelor's Degree In Computer Science, Engineering, Or A Related Field
Proficiency In Programming Languages Such As Sql, Python, And Java
Experience With Data Warehousing And Etl Processes
Strong Understanding Of Data Modeling And Database Design Principles
Ability To Work With Large Datasets And Implement Efficient Data Storage And Retrieval Methods
Sql
Python
Data Analysis
Big Data
Data Modeling
ETL
Machine Learning
Data warehousing
Data Visualization
Cloud Computing
Data integration
Database design
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Adaptability
Problem-Solving
Decision-making
According to JobzMall, the average salary range for a Data Engineer in Bloomington, IL, USA is $70,000 - $120,000 per year. Factors such as education, experience, and specific job responsibilities can affect the exact salary within this range.
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State Farm is a large group of insurance companies throughout the United States with corporate headquarters in Bloomington, Illinois.
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