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Spark (Databricks) Engineer – All Levels at GEICO

Spark (Databricks) Engineer – All Levels

GEICO Martin's Additions, MD (On Site) Full-Time

If you are looking to work on some of the latest and most advanced projects while utilizing the most cutting-edge technologies, then continue reading. GEICO’s AI & ML Engineering team is responsible for building and enabling GEICO to build AI/ML products, services and capabilities for the future. Our team is also responsible for designing, implementing, testing and maintaining the Machine Learning platform supporting Data Science initiatives across many groups. We are looking for highly motivated individuals with the ability to solve difficult problems, learn new technologies and push the boundaries of what is possible. A successful candidate must have excellent verbal and written communication skills. The candidate must also be able to work independently and in a team environment.  

Job Responsibilities

•         Design, implement, test, and maintain big data solutions using Spark/Databricks

•         Understand complex data sets and ETL processes, and how they can be optimized using Spark/Databricks

•         Design and develop high-performance Spark jobs for data transformation, cleansing, and enrichment

•         Optimize Spark jobs for both performance and cost

•         Integrate Spark jobs and notebooks into the appropriate data pipelines

•         Monitor, debug and update Spark jobs, notebooks and code as needed

•         Stay up-to-date with the latest development within Scala, Spark and Databricks

Required Qualifications 

•         5+ years of hands-on experience writing Production quality code in Scala (preferred) or PySpark

•         Hands-on experience with platforms such as Databricks and Apache Spark

•         In depth experience with the Apache Spark Architecture and components

•         Hands-on experience with the end-to-end Spark development lifecycle

•         Hands-on experience with SQL and Spark SQL

•         Experience with Cloud Platforms such as MS Azure, AWS, or Google Cloud

•         Experience with Machine Learning cloud technologies such as Azure Databricks, SparkML, Azure Machine Learning (AML), AWS SageMaker or similar technologies


Desired Qualifications 

•         Master’s degree in computer science or related field 

•         Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage)

•         Hands-on experience with Spark Streaming

•         Experience with PySpark

•         AI/Machine Learning knowledge is a plus

•         Insurance domain knowledge is a plus


As a full time associate, you’ll enjoy our [ Link removed ] - Click here to apply to Spark (Databricks) Engineer – All Levels* to help secure your financial future and preserve your health and well-being, including:

  • Premier Medical, Dental and Vision Insurance with no waiting period**
  • Paid Vacation, Sick and Parental Leave
  • 401(k) Plan with Profit Sharing
  • Tuition Assistance including Direct Billing and Reimbursement payment plan options
  • Paid Training, Licensures, and Certificates

*Benefits may be different by location.  Benefit eligibility requirements vary and may include length of service.

**Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. 

GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO celebrates diversity and believes it is critical to our success. As such, we are committed to recruit, develop and retain the most talented individuals to join our team


Recommended Skills

  • Amazon Web Services
  • Apache Spark
  • Architecture
  • Artificial Intelligence
  • Azure Data Factory
  • Azure Machine Learning
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