By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve. Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies Certified as a Great Place to Work® Fortune Best Workplaces in Financial Services & Insurance Senior Data Engineer- Data Science & AI Role Overview As a Senior Data Engineer within the Transformation Office, you are the hands-on architect of the data supply chain for our most advanced initiatives. You will be responsible for the "heavy lifting" required to fuel Data Science models and AI applications with high-fidelity data. Your mission is to build the pipelines that bridge our legacy on-prem systems (Mainframes, SQL Server, DB2) with our modern Snowflake environment and AWS/Azure AI stacks. You are a "day-one" builder who ensures that data is not just moved, but engineered for the specific requirements of model training, feature stores, and RAG-based AI systems. Key Responsibilities • Hybrid Data Pipeline Execution: Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3/RDS), and Azure (Blob/SQL), centralizing it for consumption in Snowflake and AI services. • Engineering for Data Science: Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring Data Scientists have immediate access to clean, versioned, and statistically valid data. • Engineering for AI (RAG & LLMs): Develop the data pipelines required for Generative AI, including the automated extraction, chunking, and loading of unstructured data into vector stores across AWS and Azure. • Snowflake Power-User Execution: Act as the technical lead for our Snowflake data warehouse, implementing sophisticated data modeling, Snowpipe automation, and compute optimization to support high-concurrency AI workloads. • Legacy "Back-Reach" Engineering: Execute non-invasive data extraction patterns to unlock mission-critical data from decades-old on-premise systems without disrupting core business operations. • Multi-Cloud Orchestration: Manage complex, cross-platform data workflows using Airflow, Step Functions, or Azure Data Factory, ensuring the synchronization of data across our multi-cloud AI posture. • IT & Security Diplomacy: Partner directly with central IT, Database Administrators, and Security teams to solve connectivity hurdles (PrivateLink, IAM, firewalls) and secure "license to operate" for new data flows. • Data Quality for Model Integrity: Implement automated validation and observability layers to detect data drift and quality issues that could compromise the accuracy of production AI and Data Science models. • Cost & Performance Management: Drive the efficiency of our data stack by optimizing storage and query performance in Snowflake, AWS, and Azure to manage the ROI of the Transformation Office. • Direct Stakeholder Collaboration: Work as a dedicated engineering partner to MLOps and Data Science teams to rapidly iterate on data requirements for evolving AI use cases. Qualifications • Education: Bachelor’s degree in Computer Science, Data Engineering, or a related field is required. A Master’s degree is highly desirable. • Proven Execution: 6+ years of hands-on data engineering experience, with a track record of building production-grade pipelines for Data Science and AI in multi-cloud environments. • Snowflake Mastery: Expert-level proficiency in Snowflake architecture, including data sharing, performance tuning, and the integration of Snowflake with external cloud AI services. • Multi-Cloud Proficiency: Advanced, hands-on knowledge of AWS (S3, Glue, Lambda) and Azure (Data Factory, Synapse) data services. • Technical Stack: Mastery of Python, SQL, and PySpark. Deep experience with data orchestration and containerization (Docker). • Legacy Expertise: Proven ability to interface with "old world" tech (on-premise SQL, Mainframe extracts, flat files) and transform it for modern cloud consumption. • AI/DS Fluency: A strong understanding of the specific data needs for Machine Learning (feature engineering) and Generative AI (vectorization and embedding pipelines). • Execution Mindset: A "get-it-done" attitude, capable of navigating enterprise bureaucracy and technical debt to ship code at the speed required by a Transformation Office. #LI-TS1 #remote Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. 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This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role focuses on building and improving large-scale data collection systems used to support responsible advertising and high-quality machine learning datasets. - Contribute to the development of data pipelines, monitoring systems, and data quality tools that support large-scale advertising infrastructure and analytics platforms. Key Responsibilities - Data Pipeline Development - Design and implement large-scale data processing pipelines using SQL and Python - Build systems that support data collection, transformation, and monitoring workflows - Develop scalable data architectures that support high-volume data processing - Platform Development & Monitoring - Build dashboards and visualization tools that provide insights into data quality and system performance - Implement monitoring systems and automated alerts to detect issues in data pipelines - Create end-to-end testing frameworks to ensure reliability and data integrity - Data Quality & Debugging - Debug complex data flow issues across distributed data systems - Identify root causes of data inconsistencies and implement long-term solutions - Maintain platform reliability and ensure consistent data quality - Cross-Functional Collaboration - Work closely with engineering teams, product managers, and data specialists - Coordinate with labeling teams and vendor partners involved in data collection operations - Support targeted data collection strategies and performance optimization initiatives Qualifications - Professional experience working with SQL and large production datasets - Proficiency in Python for data processing, automation, and pipeline development - Experience building data engineering pipelines including ETL workflows and data modeling - Experience creating dashboards or data visualization tools such as Tableau or similar platforms - Strong analytical and problem-solving skills Preferred Qualifications - Degree in Computer Science or a related technical field - Experience working with machine learning datasets and model training pipelines - Experience building scalable data platforms or distributed systems - Experience working on privacy-sensitive or advertising-related systems - Experience working with human labeling or data annotation workflows Why This Opportunity - Work on high-impact data systems supporting global advertising platforms - Contribute to infrastructure that improves data quality and responsible AI systems - Collaborate with engineers, data scientists, and product teams - Gain experience working on large-scale data infrastructure used in production environments Contract Details - Full-time contract role - Fully remote with U.S. location requirements - Competitive hourly compensation - Opportunity to work on high-impact infrastructure within a leading technology organization About the Platform This opportunity is available through a leading AI-driven work platform.

• Design and operate scalable batch and streaming data pipelines • Own data ingestion, transformation, and serving layers across systems • Build reliable data platforms used by analytics, product, and AI teams • Ensure data quality, freshness, and correctness at scale • Design secure access patterns for sensitive financial data • Implement encryption, access controls, and audit-ready data workflows • Partner with product, risk, compliance, and InfoSec teams • Debug data failures, delays, and inconsistencies in production • Take ownership during data incidents and reliability issues

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary As a Business Data Engineer at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position. Are you an engineer with a passion for data? A graph enthusiast? Someone ready to bring lean manufacturing principles into the data world? Or a computer science major excited to see operations through a new lens? We're looking for someone who thrives at the intersection of these two fields. Experience in data/computer science or manufacturing/industrial engineering is preferred. We’d love to meet you! Your role in our mission - Become a healthcare insurance subject matter expert with sufficient technical skills to produce proof-of-concept solutions to various issues within the industry. - Perform data cleaning and analysis using SQL, Python, and AI models. - Analyze big data from diverse sources to identify trends, address gaps, and discover improvement opportunities that align with improving the healthcare system. - Provide subject matter expertise in identifying product uses and designing strategies that address significant business and technical challenges. - Gather and translate business requirements into analytical applications and advanced dashboard visuals, reports, or other alert systems. - Document code using documentation tools and participate in collaborative team code reviews. - Collaborate with various teams within the company to advise on technical solutions. - Stay informed on industry trends, best practices, and innovations, ensuring competitive market relevance of company products. What we're looking for - 2+ years of experience in Data-Focused roles OR 2+ years in Industrial/Manufacturing Engineering. - Experience in a Database Query Language: Oracle, MySQL, SQL Server, DB2. - Experience with any of the following Scripting Languages: Python, R, or JavaScript. Python Preferred. - Experience working with Data Visualization tools such as Tableau or Power BI. - Microsoft Office Products and Access Proficient. What you should expect in this role - Fully Remote Opportunity within the US - Required Travel 0-10% - Video cameras must be used during all interviews, as well as during the initial week of orientation The deadline to submit applications for this posting is April 30, 2026 The pay range for this position is $72,800.00 - $104,000.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is committed to a diverse, equitable, and inclusive workplace. We are proud to be an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.