Senior Software Engineer (Analytics, AI)

Title: Senior Software Engineer (Analytics, AI)Job type: Direct Hire w/great benefitsLocation: San Francisco, CARelocation Assistance AvailableOpen to work visa sponsorship for qualified candidatesTeam: You will join a team building a world-class data platform for advanced analytics and artificial intelligence.This team will design, develop, and support a Precision Ag analytics platform - enabling the ingest, modeling, and efficient retrieval of data at petabyte scale.The team builds production data products that utilize machine learning algorithms to enable intelligent, automated equipment and to improve farmer decision making.You can join a team that is passionate about making a difference by applying cutting edge technology to solve some of the world's biggest problems.Summary:Write clean, well-tested code to enable ingest, storage, retrieval, and transformation of large scale geospatial data for analysis, research, and model development.Build and support production-oriented high-performance data pipelines that are efficient and reliable with robust monitoring.Contribute to the development of next-generation data structures and APIs that enable secure, performant, cost-effective access to data for research and model development.Collaborate and communicate closely with data scientists and engineers to identify and build needed infrastructure, tools, and libraries to support machine learning algorithms.Required:Five or more years of software engineering experience.Three or more years of experience building and supporting mission-critical, global, production-scale, cloud-based systems using Amazon Web Services (AWS).Demonstrated ability to architect and build large scale processing pipelines.Experience implementing geospatial data structures, analysis systems, and visualizations.Strong coding skills in Python and additional experience with C, Java, and/or Scala. Experience with Scala is a must for the role in Urbandale, IA location.Experience with infrastructure-as-code, automation, monitoring, and a DevOps mindset.A solid foundation in computer science, particularly with algorithm development.Strong analytic skills with high attention to detail and accuracy.An ability to inform and influence others through your strong communication skillsSpecializations (preferred):Expertise with geospatial, IoT, or high-frequency unstructured data sets.Sense of ownership, curiosity, and ability to function in a fast-paced, collaborative team environment that is distributed across various time zones and locations.Experience with Spark, Databricks, or AWS Sagemaker.Experience working with GDAL or similar spatial libraries.Experience with machine learning techniques or tools.A strong track record of contributions to the open-source community.Required Education:Bachelor's degree in Engineering or Computer Science.Advanced degree, Engineering or Computer Science preferred.Everest Consultants is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil right laws.