EagleView

About Us

EagleView is a leading provider of aerial imagery, property insights and software that transforms the way people work. EagleView holds more than 300 patents and owns a large geospatial data and imagery library encompassing 94 percent of the US population. EagleView provides the most accurate data, enabling customers in the government, construction, solar and insurance industries to make timely, informed and better decisions.

Overview

EagleView, the leader in aerial imagery, is hiring a Analytics and AI Development Lead in the Enterprise Data & Analytics team to help with implementing the organization's data and analytics strategy. This role entails leading a team of developers and data engineers overseeing the processes of AI tool development, automation and analytics, working closely with various departments across the US and India to ensure that data-driven insights are successfully integrated into business operations. The ideal candidate should possess a robust analytical background, exceptional leadership abilities, and a passion for utilizing data to address complex business challenges. This role is ideal for an experienced manager with strong experience in team management, Python, AWS, SQL (preferably Snowflake), Git and Jenkins. You will help build and manage our AI operations platform, helping deliver insights to a variety of stakeholders across all departments.

Responsibilities

• Oversee and lead development for AI asset design, with a focus on efficiency
• Data governance to support quality AI, security, and compliance best practices
• Collaborate with cross-functional teams (analysts, product managers, and engineers) to understand business needs and translate them into technical solutions
• Lead team project delivery and communication to leadership
• Debug and optimize complex Python and SQL (preferably in Snowflake)
• Lead troubleshooting and debugging efforts for data pipelines and data quality issues
• Deliver high quality analytics for executive leadership on occasion

Qualifications

• 5+ years of experience in lead role for a team within any of the Data Engineering, software engineering or Artificial Intelligence domains
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related discipline
• Experience developing with Snowflake as the data platform
• Strong communication skills and ability to collaborate with cross-functional teams for requirements gathering and solution design
• Experience working with large-scale, distributed data systems and cloud data warehouses
• Understanding of data modeling principles and database design
• High proficiency in SQL (preferably Snowflake) for data modeling, performance tuning, and optimization
• High proficiency in Python, particularly for building data sets (including ingestion and transformation), ideally with production level projects using data science and AI libraries (including LLMs, semantic models or predictive analytics)

Preferred Experience:

• Design, develop, and optimize scalable data pipelines for ETL/ELT processes
• Experience with ETL/ELT tools (preferably Fivetran, dbt)
• Experience with Git or other version control tools in a collaborative development environment
• Develop and maintain Python-based data processing scripts and automation tools
• Administration of big data platforms, such as Snowflake
• Experience with Microsoft PowerBI and other visualization tools
• Knowledge of cloud platforms (AWS, GCP, Azure) and related services (e.g., S3, Lambda, BigQuery)
• Experience in AWS, particularly for building and deploying AI solutions (ideally using Bedrock or OpenAI)

EEO Statement

This job description is not an exclusive or exhaustive list of all job functions that a workforce member in this position may be asked to perform. Duties and responsibilities can be changed, expanded, reduced, or delegated by management to meet the business needs of the company.

The compensation offered to the successful candidate will be based on a variety of factors, including but not limited to, the candidate’s work experience, education and licenses, work-related training, key skills, the core duties of the role and its associated responsibilities, additional benefits offered, and the location where the work will be performed.

EagleView® and its subsidiaries are dedicated to fostering a diverse workforce, leveraging talent to create opportunities for both our business and our people. We are committed to fostering an inclusive workplace and are open to discussing reasonable accommodations for candidates with disabilities to ensure equal opportunities for success in the role.

As an Equal Opportunity, Affirmative Action, and E-Verify Employer, EagleView® welcomes applicants from all backgrounds, including minorities, women, individuals with disabilities, and veterans. EagleView® and its subsidiaries are committed to leveraging the talent of a diverse workforce to create opportunities for our business and our people.