Logic20/20, Inc.

Data Engineer

• Deliver client value and ensure high client satisfaction
• Design, enhance, and maintain production-grade data pipelines supporting model output aggregation and downstream risk analysis
• Establish and mature repository governance practices, including branching strategies, pull request standards, merge policies, release tagging, and version control workflows
• Own release engineering practices for reproducible, traceable, and auditable production releases
• Refactor and improve pipeline code for modularity, maintainability, scalability, and documentation quality
• Develop configuration-driven pipeline patterns across environments and releases
• Support testing, validation, benchmarking, and change management for critical data pipelines
• Partner with data scientists, machine learning engineers, data engineers, product stakeholders, and other technical teams
• Align teams on schemas, interfaces, inputs, and delivery expectations
• Translate complex technical concepts into clear updates for technical and non-technical stakeholders
• Improve structure and governance in codebases, repositories, and engineering workflows
• Contribute to engineering best practices in a regulated, audit-sensitive delivery environment

Lead Data Engineer – PySpark, Palantir Foundry

• Lead the design, development, and implementation of scalable cloud-based data solutions
• Provide technical oversight and code review for engineering teams to ensure quality, scalability, and maintainability
• Partner with business stakeholders, product owners, architects, and engineering teams to translate business needs into technical solutions
• Guide technical decision-making related to data ingestion, transformation, storage, and integration
• Support solutions involving geospatial, imagery, and enterprise data platforms
• Collaborate with cross-functional teams to evaluate tools, technologies, and implementation strategies
• Mentor engineers and establish engineering best practices across projects
• Communicate technical concepts effectively to technical and non-technical audiences
• Participate in solution discovery, planning, estimation, and delivery activities

Lead Geospatial Data Engineer

Director

• Develop and execute growth strategy for Utilities
• Expand existing client relationships and drive sustainable revenue growth
• Lead business development, including opportunity qualification, solution strategy, proposal development, pricing, and executive presentations
• Partner with sales, marketing, and practice leaders on industry offerings, thought leadership, strategic partnerships, and go-to-market initiatives
• Build and scale the practice by identifying capability gaps, recruiting consulting talent, mentoring consultants, and establishing operational processes
• Provide executive oversight and strategic leadership for Utilities consulting engagements
• Ensure successful delivery, exceptional client outcomes, and long-term account growth
• Serve as executive sponsor and senior advisor on key client engagements
• Collaborate with delivery teams to maintain high-quality execution and consulting best practices
• Ensure projects are delivered on time, within scope, and with measurable business value
• Contribute subject matter expertise to strategic client initiatives while remaining selectively billable on high-impact engagements

Director, Energy & Utilities

• Develop and execute growth strategy for Utilities
• Expand existing client relationships and drive sustainable revenue growth
• Lead business development, including opportunity qualification, solution strategy, proposal development, pricing, and executive presentations
• Partner with sales, marketing, and practice leaders on industry offerings, thought leadership, strategic partnerships, and go-to-market initiatives
• Build and scale the practice by identifying capability gaps, recruiting consulting talent, mentoring consultants, and establishing operational processes
• Provide executive oversight and strategic leadership for Utilities consulting engagements
• Serve as executive sponsor and senior advisor on key client engagements
• Collaborate with delivery teams to ensure high-quality, on-time, in-scope project execution and measurable business value
• Contribute subject matter expertise to strategic client initiatives
• Remain selectively billable on high-impact engagements

Data Scientist

• Lead the design, development, and deployment of advanced analytics and machine learning solutions
• Partner with clients and stakeholders to understand business objectives and translate requirements into analytical approaches
• Analyze large, complex datasets to uncover insights, identify opportunities, and support strategic decision-making
• Develop and validate statistical, predictive, and machine learning models
• Communicate technical findings and recommendations to executive and non-technical audiences
• Provide technical leadership and mentorship to data scientists, analysts, and cross-functional project teams
• Collaborate with data engineering, product, and business stakeholders to support end-to-end solution delivery
• Establish best practices for model development, testing, validation, documentation, and performance monitoring
• Contribute to project planning, solution architecture, estimation, and delivery execution
• Support business development through technical expertise, solution ideation, and client presentations

Lead Data Scientist

• Lead the design, development, and implementation of scalable cloud-based data solutions
• Provide technical oversight and code review for engineering teams to ensure quality, scalability, and maintainability
• Partner with business stakeholders, product owners, architects, and engineering teams to translate business needs into technical solutions
• Guide technical decision-making related to data ingestion, transformation, storage, and integration
• Support solutions involving geospatial, imagery, and enterprise data platforms
• Collaborate with cross-functional teams to evaluate tools, technologies, and implementation strategies
• Mentor engineers and establish engineering best practices across projects
• Communicate technical concepts to technical and non-technical audiences
• Participate in solution discovery, planning, estimation, and delivery activities