Lead Data Engineer, Imagery Models

Responsibilities

• Lead and partner with Data Science, DAVS, Architecture and other business stakeholders to prioritize use cases, gather requirements, and implement solutions and pipelines for Imagery Models.
• Contribute to the Data Products Strategy for Imagery Model Outputs.
• Design and own the end to end data and ML pipeline architecture for imagery models, including ingestion, preprocessing, feature engineering, training, evaluation, and deployment.
• Integrate models into production systems and APIs with appropriate monitoring and alerting.
• Incorporate assurance processes into data solutions.
• Guide team members as they build complex data solutions, correct problems, apply transformations, and recommend data cleansing and quality solutions.
• Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
• Define and build frameworks for data solutions that can be applied to multiple projects.
• Perform analysis of complex sources to determine value and use subject matter expertise to recommend data for analytical processes.
• Incorporate core data management competencies including data governance, data security, and data quality.
• Collaborate and build consensus with leadership and diverse stakeholder groups in defining, estimating, prioritizing, and planning projects.
• Perform data and system analysis, assessment, and resolution for defects and incidents of high complexity and take corrective action as needed.
• Define standards and frameworks for testing data movement, transformation code, and data components.
• Perform other duties as assigned.

Requirements

• Bachelor’s Degree in a STEM field or equivalent.
• Fifteen years of related experience.
• 4+ years of experience with AWS Cloud and Python.
• 3+ years of experience with Databricks.
• 2+ years of experience in imagery pipeline development and reusable frameworks.
• Experience integrating imagery workflows into production systems and APIs.
• Expert knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
• Excellent delivery skills with the ability to evaluate software design strategies, apply quality measures for complex systems, and develop widely used technical metrics.
• Demonstrated domain expertise to improve company level capabilities within the domain and identify business-aligned solutions.
• Strong problem solving skills to build architectures robust against single points of failure and to plan 6-12 months ahead.
• Excellent communication skills to describe technical concepts for non-technical audiences and collaborate across groups.
• Strong leadership skills to mentor others, share knowledge, and create growth opportunities within the engineering organization.
• Bachelor’s degree in computer science, a related STEM field, or equivalent education/work experience.
• 7 additional years of data engineering experience.
• 2 years of technical leadership experience.

Technologies

• AWS Cloud
• Python
• Databricks

Benefits

• Health Insurance
• 401(k) matching
• Pension Plan
• Paying it Forward Savings Program
• Paid Time Off
• Holidays
• Wellness Program
• Matching Gift and Volunteer Rewards program

Salary Range

Salary Range: USD 161,400 - 266,300 per yearly

Target Openings

Target Openings: 1