Are you a data enthusiast with a passion for turning raw information into meaningful insights? Do you thrive in a fast-paced, collaborative environment? If so, State Farm has an exciting opportunity for you as a Data Engineer - Analytics. We are seeking a highly skilled and motivated individual to join our team and play a crucial role in shaping the future of our analytics capabilities. As a Data Engineer, you will have the opportunity to work with cutting-edge technologies and contribute to the success of our company. If you have a strong background in data engineering and a desire to make a real impact, we want to hear from you!
- Develop and maintain data pipelines and workflows to support the collection, processing, and analysis of large and complex data sets.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Design and implement data models to support analytics and reporting needs.
- Ensure data quality and consistency across various data sources.
- Utilize programming languages and tools to extract, transform, and load data from various sources.
- Identify and troubleshoot any issues with data pipelines and provide timely resolutions.
- Stay updated with the latest industry trends and advancements in data engineering and bring innovative ideas to the team.
- Work closely with data scientists and analysts to understand their needs and provide them with the necessary data infrastructure.
- Collaborate with IT teams to ensure data security and compliance with company policies and regulations.
- Continuously optimize and improve data processes to increase efficiency and scalability.
Strong Technical Skills: A Data Engineer At State Farm Must Have A Strong Foundation In Computer Science, Programming Languages, And Database Management. Proficiency In Sql, Python, And Java Is Essential, Along With Knowledge Of Big Data Tools Such As Hadoop, Spark, And Kafka.
Data Analysis And Modeling Expertise: The Ideal Candidate For This Role Should Have Experience In Data Analysis And Modeling Techniques, Including Data Mining, Predictive Analytics, And Statistical Analysis. They Should Also Have A Good Understanding Of Machine Learning Algorithms And Their Applications.
Experience With Data Warehousing: State Farm Deals With Large Volumes Of Data From Various Sources. A Data Engineer Must Have Experience In Designing And Implementing Data Warehousing Solutions That Can Handle Structured And Unstructured Data Efficiently.
Knowledge Of Cloud Computing: State Farm Has Been Investing Heavily In Cloud Computing Technology, And A Data Engineer Must Have Experience With Cloud Platforms Such As Aws, Azure, Or Google Cloud. They Should Also Be Familiar With Containerization Tools Like Docker And Kubernetes.
Strong Problem-Solving Skills: Data Engineers At State Farm Are Responsible For Identifying And Solving Complex Data-Related Problems. They Must Have A Strong Analytical Mindset And Be Able To Troubleshoot Issues Efficiently. Additionally, They Should Be Able To Communicate Their Findings And Solutions Effectively To Other Team Members And Stakeholders.
Data Analysis
Database Management
Data Modeling
Machine Learning
Data warehousing
Data Visualization
Data architecture
Data
ETL (Extract, Transform, Load)
Programming Languages (Python, Sql)
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer - Analytics in Tempe, AZ, USA is $99,000 - $159,000 per year. This may vary depending on factors such as the company, experience, and skill level of the individual.
Apply with Video Cover Letter Add a warm greeting to your application and stand out!
State Farm is a large group of insurance companies throughout the United States with corporate headquarters in Bloomington, Illinois.
Get interviewed today!
JobzMall is the world‘ s largest video talent marketplace.It‘s ultrafast, fun, and human.
Get Started