Lead Data Engineer - PySpark/Palantir Foundry

Company DescriptionWe're a ten-time "Best Company to Work For," where intelligent, talented people come together to do outstanding work-and have a lot of fun while they're at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You'll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you.About the teamThe Logic20/20 AI & Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it's all in a day's work. As part of our team, you'll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you're ready to level up in your career, you'll have access to the training, the project opportunities, and the mentorship to get you where you want to go. "We build an environment where we really operate as one team, building up each other's careers and capabilities." – Adam Cornille, Managing Director, AI & Analytics Job DescriptionAs a Lead Data Engineer joining our AI & Analytics practice, you'll be responsible for delivering client value and ensuring high client satisfaction. You'll be expected to be adept at recognizing, subscribing, and applying best practices, methodologies, tools, and techniques to meet client requirements, timelines, and budgets.  The right candidate will be highly hands-on, comfortable working across cross-functional teams, and motivated by clean architecture, disciplined engineering practices, and well-governed delivery processes.Role ResponsibilitiesDesign, enhance, and maintain production-grade data pipelines that support model output aggregation and downstream risk analysis.Establish and mature repository governance practices, including branching strategy, pull request standards, merge policies, release tagging, and version control workflows.Own release engineering practices that support reproducible, traceable, and auditable production releases.Refactor and improve existing pipeline code to increase modularity, maintainability, scalability, and documentation quality.Develop configuration-driven pipeline patterns that create consistency and reduce ambiguity across environments and releases.Support testing, validation, benchmarking, and change management practices for critical data pipelines.Partner with data scientists, machine learning engineers, data engineers, product stakeholders, and other technical teams to align on schemas, interfaces, inputs, and delivery expectations.Translate complex technical concepts into clear updates for both technical and non-technical stakeholders.Help bring structure to existing codebases, repositories, and engineering workflows that may need stronger governance or standardization.Contribute to engineering best practices across a highly regulated, audit-sensitive delivery environment.Qualifications10-15+ years of data engineering, data science, machine learning engineering, and/or relevant experience using Python.Experience leading technical teams and overseeing enterprise-scale data initiatives.Strong expertise in PySpark, SQL, and cloud services.Demonstrated ability to improve, refactor, or stabilize existing codebases and pipeline environments.Experience with cloud-optimized datasets, efficient partitioning strategies, and large-scale spatial operations. Strong understanding of how machine learning model outputs flow into downstream data pipelines, platforms, or production systems.Experience working in highly regulated industries such as utilities, financial services, healthcare, insurance, or similar environments.Experience designing maintainable, scalable, and well-documented data infrastructure in cloud-based or modern data platform environments.Experience supporting reproducibility, dataset versioning, release traceability, and audit readiness.Ability to collaborate across multiple technical teams and proactively define expected inputs, outputs, schemas, and interfaces.Strong communication skills with the ability to build trust with stakeholders through clear, accurate, and timely updates.A detail-oriented, governance-minded approach to engineering, with comfort operating in environments that require rigor, documentation, and sign-off discipline.Practical experience with software engineering best practices, including Git-based workflows, code reviews, branching strategies, and release management.Preferred QualificationsExperience with Palantir Foundry is highly preferred.Experience with GIS technologies and geospatial data platforms.Additional InformationAt Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $156,348 - $175,194 for this role. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives.All your information will be kept confidential according to EEO guidelines.Learn more about life at Logic20/20!Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career!Core Values At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at . Equal Opportunity Statement We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. To learn more about our DE&I initiatives, please visit: Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy. SummaryType: Full-timeFunction: ConsultingExperience level: Not ApplicableIndustry: Oil And Energy