Marketing Data Operations Engineer II

About the position

As a Marketing Data Operations Engineer II, you will work under general supervision, analyzes large, complex datasets in Cloud Computing frameworks to further develop marketing optimization. BUILDS high performance, low latency platforms and applications across Business Services, Data, Platform, and Infrastructure Engineering with the Data framework in an Agile Environment. ANALYZES and DEVELOPS algorithms and tools to target specific business objectives and create other business opportunities. SUPPORTS the technical needs of Marketing Science team as they develop analysis and collaborate with marketing partners both internally and externally.

Responsibilities

• SUPPORTS Marketing Science team as they implement advanced analytics use cases.
• IDENTIFIES, EXTRACTS, AGGREGRATES and SYNTHESIZES data from multiple sources to enable code optimization.
• WORKS with cross departmental teams to streamline processes, data ingestion, and data prototyping for effective use of algorithms and data.
• SUPPORTS strategic goals for business intelligence development through data pipeline development and technical support.
• STREAMLINES program analysis procedures in PYTHON, R, SQL, SAS, or other language required for specific detailed function.
• PERFORMS data studies and data discovery of new data sources or new uses for existing data sources.
• IMPLEMENTS software and hardware related to handling and accessing data appropriately.
• IMPLEMENTS data quality procedures.
• INTERPRETS and PRESENTS data findings creatively in a variety of formats.
• ADHERES to the GEICO Code of Conduct, and company policies and operating principles.
• MEETS attendance standard of the business location, to perform necessary job functions and to facilitate interaction with management and co-workers.

Requirements

• 3+ years of professional experience programming in R, Python, Scala, or equivalent language for the purposes of developing tools and software solutions to connect data systems and transform data.
• 3+ years of professional experience utilizing SQL to work in enterprise database solutions like Snowflake, Databricks or equivalent.
• 2+ years of professional experience building data pipelines (ETL and ELT) with batch or streaming, loading, and transforming data that is reliable, available, and scalable from a variety of sources (files, databases, APIs).
• 2+ years of professional experience in Cloud DevOps concepts, Cloud Services and Architecture, and DevOps Operational Framework in Azure, AWS or GCP.
• 1+ years of professional experience navigating, utilizing, and implementing REST APIs.
• 1+ years of professional experience generating, maintaining, and distributing code and documentation in Git, SharePoint, Confluence or equivalent.

Benefits

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.