We'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 team
The 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 Responsibilities
- Design, 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.
- 10-15+ 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 Qualifications
- Experience with Palantir Foundry is highly preferred.
- Experience with GIS technologies and geospatial data platforms.
At 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 https://www.logic2020.com/company/our-values.
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: https://www.logic2020.com/company/diversity-equity-inclusion
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.
Skills Required
- 10-15+ years of experience in data engineering, data science, machine learning engineering, and/or relevant Python experience
- Experience leading technical teams and overseeing enterprise-scale data initiatives
- Strong expertise in PySpark, SQL, and cloud services
- Experience improving, refactoring, or stabilizing existing codebases and pipeline environments
- Experience with cloud-optimized datasets, efficient partitioning strategies, and large-scale spatial operations
- Understanding of machine learning model outputs flowing into downstream data pipelines, platforms, or production systems
- Experience working in highly regulated industries such as utilities, financial services, healthcare, or insurance
- 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 define expected inputs, outputs, schemas, and interfaces
- Strong communication skills for clear, accurate, and timely stakeholder updates
- Detail-oriented, governance-minded approach with comfort in rigorous, documentation-focused environments
- Practical experience with software engineering best practices, Git-based workflows, code reviews, branching strategies, and release management
- Experience with Palantir Foundry
- Experience with GIS technologies and geospatial data platforms
What We Do
Logic20/20 is a business, management and technology consulting firm. Our clients represent a wide range of organizations, from start-up to Fortune 100 companies, and include state and local government organizations. We focus on the people first and help define the right processes and technology to solve business challenges. We are committed to enhancing your efficiency, coordination, and velocity. We partner with our clients to elevate performance using strategy, technology, and data. Our key solutions tackle some of the biggest challenges in business, all by improving individual experiences. We focus on clarity to help our customers predict and increase sales, understand their customers, automate repetitive tasks, and increase the speed of innovation to market. Making this one of the best companies to work for is our goal, as we believe a positive work environment is critical to long-term professional happiness. When you work at Logic20/20, you have the opportunity to contribute to projects across geographies, using cutting-edge technologies to deliver great results. We're proud to have been named one of Washington's Best Companies to Work For 5 years running and one of Inc. Magazine's fastest growing firms.
Why Work With Us
What makes Logic20/20 unique is our focus on a 'Culture of We'. Cultivating the spirit and energy of We is at the core of teamwork. We focus on building our teams, going above and beyond to help each other, and leveraging individual strengths to benefit the whole. We're reliable as individuals and rely on each other as teammates.
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