• Architect, build, and own Overflow's core data infrastructure from the ground up — pipelines, warehouses, data models, and orchestration • Design and implement scalable ETL/ELT pipelines that collect, transform, and deliver clean, reliable data across Overflow's platform and business functions • Build and maintain a unified data layer that integrates data across Engineering, Product, Finance, Revenue, Success, and Operations • Design well-structured, intuitive data models that empower self-service analytics across the company and power OLAP views in customer facing applications • Build and maintain dashboards and reporting infrastructure that give leadership real-time visibility into key business metrics — total giving volume, client sentiment, payment revenue • Partner with the Head of AI to design storage schemas and organization strategies for semi-structured and unstructured data, providing the clean structures required to power advanced MLOps, RAG pipelines, and agent memory • Implement Databricks Unity Catalog to establish strict data governance, documentation standards, access controls, and role-based visibility across the organization. • Build for reliability by implementing data quality monitoring, alerting, and validation frameworks to ensure data accuracy and trustworthiness. • Collaborate closely with Engineering, Product, Finance, Payment Ops, Support, and RevOps to understand data needs and deliver scalable solutions • Act as the internal expert and advocate for data — educating teams on best practices and helping them ask better questions of the data • Contribute to the product roadmap by surfacing data-driven insights about customer behavior, platform performance, and market opportunity

Role Description The Senior Manager, Data Engineering will play a critical role in revitalizing OTG’s data analytics platform and strategy, transforming how data is leveraged across operations, finance, and guest experience. This role will serve as a hands-on leader responsible for building and modernizing OTG’s data platform, driving scalable data solutions, and enabling real-time insights that power business decisions across the organization. This individual will help define the future state of OTG’s data ecosystem, ensuring it supports growth, operational efficiency, and innovation. In this Role you will… - Lead the design and execution of a modern data platform strategy, aligned with OTG’s business goals and growth trajectory - Drive the revitalization and modernization of data pipelines, data models, and data infrastructure - Build and optimize scalable ETL/ELT pipelines to support high-volume transactional data from POS, operations, and customer systems - Establish a roadmap for data architecture, data governance, and analytics enablement - Ensure data systems support real-time insights, operational reporting, and advanced analytics use cases - Partner with Engineering, Product, Finance, and Operations teams to translate business needs into data-driven solutions - Define and enforce data engineering standards, best practices, and governance frameworks across the organization - Lead the migration and modernization of legacy data systems into cloud-based platforms - Oversee data quality, data integrity, and system reliability across the enterprise - Manage and mentor a team of data engineers, driving performance, accountability, and growth - Provide hands-on technical leadership, including coding, troubleshooting, and architectural design as needed - Collaborate with external vendors and partners to support delivery and scalability initiatives Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience) - 6–10+ years of experience in data engineering, data architecture, or related technical roles - 2–4+ years of leadership experience, managing engineering teams or technical initiatives - Proven experience building and scaling modern data platforms in cloud environments (AWS, Azure, or GCP) - Strong background working in high-volume, data-intensive environments (hospitality, retail, QSR, or similar preferred) Requirements - Data Platform Modernization & Transformation - Data Engineering & ETL/ELT Pipeline Development - Cloud Data Architecture (Snowflake, Databricks, Redshift, Synapse, etc.) - Real-Time Data & Streaming (Kafka or similar) - Data Governance & Data Quality Management - Cross-Functional Stakeholder Collaboration - Hands-On Technical Leadership - Team Leadership & Talent Development - Problem Solving & Continuous Improvement - Communication & Organizational Agility Company Description On the Go (OTG) has elevated the dining and retail experience for travelers by bringing together world-class hospitality, award-winning dining concepts, and forward-thinking technology. With more than 300 unique dining and retail locations across North America’s busiest airports, we’re fueled by a passion for creating exceptional guest experiences—made possible every day by our incredible Crewmembers. At OTG, people truly come first. We invest in our teams and foster growth in an exciting, fast-paced environment where everyone can shine. How we work is just as meaningful as what we accomplish. Our values—Care, Continuous Improvement, Quality, and Teamwork—guide the way we show up for our guests and for each other. We are committed to fostering an inclusive, safe, and dynamic workplace where individuals feel empowered to contribute and grow.

Role Description The Remote Data Engineer I supports the implementation and maintenance of data pipelines and curated datasets that ensure data quality, consistency, and readiness for analytics and AI use cases. This role focuses on foundational data engineering activities, assisting with preparation, validation, and documentation of data so it is accurate, secure, and accessible for self-service reporting and advanced analytics. Working under the guidance of senior data engineers, this role develops skills in data curation, governance, and pipeline development while contributing to the delivery of reliable, optimized datasets that support both operational reporting and enterprise analytics initiatives. This is a fully remote position. Qualifications - Bachelor’s or Master’s degree in Computer Science, Mathematics, or Information Systems - Minimum of 5 years of Business Intelligence or comparable data engineering experience (healthcare experience preferred) - Strong communication and analytical skills - Proficiency with Microsoft BI tools, T SQL, ETL processes, data modeling, and data visualization - Strong understanding of SQL and relational database concepts - Familiarity with Epic applications and Epic database structures Requirements - Relevant Epic Data Model or Microsoft development certifications preferred - Certifications may include but are not limited to: - Epic Radar - Reporting Workbench Administration - Clarity Data - Caboodle - Slicer Dicer - Epic Revenue Cycle - Shared Clinical - Grand Central - AI development including machine learning and analytics platforms - Microsoft Fabric development including Data Warehouse, Lakehouse, and ETL tools - Microsoft SQL certifications Benefits - Assists with build and refresh activities using approved data architecture designs - Supports data ingestion and ETL processes including basic troubleshooting and data quality validation - Collaborates with engineers and developers to learn enterprise data standards and development patterns - Ensures compliance with data governance, security, performance, and privacy standards - Executes assigned project requests exceeding 40 hours under supervision - Contributes to continuous improvement of data reliability and usability - Performs additional duties as assigned Technologies and Work Areas You Will Support - Azure Databricks - Epic Caboodle development internal and external - Cogito Extract Scheduler - Cogito Reporting Workbench SQL - Cogito SQL Metrics - Copilot Studio agent development and management - Data agent development and management - Epic claims ingestion workflows - Microsoft Fabric Data Warehouse, Lakehouse, and ETL development - Power Platform applications - Power BI semantic model development and management - Slicer Dicer data model development and management - Other assigned or extended project requests Company Description Spartanburg Regional Healthcare System is a forward thinking, community focused healthcare organization that has served the Upstate for more than 100 years. SRHS is committed to leveraging data, analytics, and emerging technologies to improve patient outcomes, support clinical decision making, and advance innovation across the enterprise. Team members at SRHS work in a collaborative environment that values learning, growth, and continuous improvement. Our data and analytics teams play a critical role in delivering trusted data that supports both business intelligence and advanced AI driven solutions.

Design, build, and maintain production data pipelines while optimizing data models and collaborating with stakeholders. Contribute to continuous improvement of data infrastructure and leverage AI tools for enhanced productivity and efficiency.