Role Description Celigo is looking for a Manager, Data Engineering to serve as the primary architect and custodian of Celigo’s data ecosystem, balancing high-level strategic planning with hands-on technical leadership. You will own the full lifecycle of our data infrastructure—from the design of scalable ETL/ELT pipelines and cloud warehousing strategy to the enforcement of rigorous data governance and observability standards. As a bridge between technical execution and business value, you will lead a high-performing team of engineers to deliver a reliable "source of truth" that empowers Data Science, Product, and Executive leadership. - Lead the Data Engineering department, providing technical roadmap guidance and project direction in alignment with company objectives. - Recruit, mentor, and coach a high-performing engineering team, managing performance and fostering a culture of continuous technical growth. - Oversee the end-to-end design, development, and maintenance of scalable data infrastructure, including data warehouses and robust ETL/ELT pipelines. - Partner with Data Science, Product, and Engineering teams to translate complex business requirements into effective, scalable technical solutions. - Establish and enforce data quality standards, automated validations, and observability frameworks to ensure high reliability across all pipelines. - Manage resource allocation and sprint cycles to ensure timely delivery of high-impact projects while maintaining data governance and security policies. - Evaluate and integrate emerging industry trends and tools to optimize data processing costs and engineering velocity. - Measure and report on team impact through defined KPIs, ensuring engineering output directly supports business goals. Qualifications - Proven track record of managing the full project lifecycle, from initial concept and resource planning to production deployment. - Exceptional communication skills with a demonstrated ability to work cross-functionally and influence senior leadership. Requirements - Degree in Computer Science, Engineering, or a related technical field. - 3+ years of technical leadership or engineering management experience, preferably in a fast-paced startup or SaaS environment. - 5+ years of hands-on experience in data engineering, specifically building production-grade pipelines and distributed computing frameworks. - 5+ years of experience in BI, data modeling, and modern cloud data warehousing architecture (e.g., Snowflake, BigQuery). - Advanced proficiency in SQL and at least one programming language (e.g., Python, Java, or Scala). Benefits - Remote-first culture, built on trust, collaboration, and transparency. - A high-growth, inclusive work environment where innovation thrives and ideas are implemented. - Lightspeed learning opportunities to keep you at the leading edge of your field. - Exceptional coworkers who challenge and inspire you daily. - Competitive compensation and benefits, including: - Three weeks of vacation (starting year one). - Wellness days and holidays to recharge. - Parental leave and a generous benefits package. - Monthly tech stipend. - Recognition and career development opportunities.

• Collaborate with data scientists, machine learning engineers, and analytics teams to provide technical direction for AI and advanced analytics platforms • Work closely with data warehousing, data engineering, and cloud platform teams to design optimal architectures for AI-driven data solutions • Enable the scalable use of AI-generated outputs (e.g., ML predictions, extracted signals, model outputs) in conjunction with structured data to support analytics and oncology insights • Partner with senior management and stakeholders to communicate AI system capabilities, implementation approaches, assumptions, and limitations in clear, non-technical language • Participate in the full lifecycle of AI and data platform solutions, including planning, design, implementation, deployment, monitoring, and ongoing maintenance • Design, build, and maintain production-grade AI pipelines, shared frameworks, and supporting services in the cloud (e.g., AWS, GCP, Azure; Azure preferred) • Design, test, and maintain AI-enabled applications and services using modern software engineering and testing methodologies • Perform code reviews and help define engineering and AI code standards to ensure high-quality, scalable, and maintainable solutions • Develop and maintain scalable data and AI pipelines using Python and supporting technologies • Design and implement data architectures that support downstream analytics and access by McKesson analysts and AI data consumers • Drive innovation and develop reusable engineering solutions to support AI workloads, model execution, inference pipelines, and integration into downstream data products • Evaluate new AI-related tools, frameworks, and platforms to improve scalability, reliability, and developer productivity prior to broader adoption

Role Description We are seeking a highly skilled Senior Data Engineer with deep experience in modern data platforms and hands-on expertise in building Agentic AI–first data solutions. The ideal candidate has strong proficiency with Strands, AgentCore, and robust experience across Snowflake, OpenFlow, Kafka, and dbt. You will play a key role in designing and scaling data architectures that power advanced AI agents and next-generation analytics. This role requires someone who thrives in innovative environments, enjoys building from scratch, and can influence technical strategy across AI, data engineering, and cloud ecosystems. Responsibilities and Duties - Design, develop, and maintain Agentic AI–first data pipelines using Strands and AgentCore to enable intelligent automation and decision-making at scale. - Architect, optimize, and manage Snowflake data warehouses, ensuring high performance, secure data sharing, and cost-efficient usage. - Build, refine, and orchestrate streaming and event-driven pipelines using Kafka and OpenFlow. - Develop modular, testable transformations using dbt, implementing best practices in data modeling (e.g., Kimball, Data Vault). - Implement scalable and reliable data integration solutions supporting real-time and batch processing. - Collaborate with AI/ML teams to provide high-quality, well-documented datasets for model training and agent workflows. - Drive data quality, governance, lineage, and observability using modern tooling and AI-enabled monitoring. - Lead code reviews, architecture discussions, and mentor junior data engineers. - Partner closely with Product, AI Engineering, and Platform teams to define data and agent strategies. Qualifications - 6+ years of experience as a Data Engineer, Senior Data Engineer, or similar role. - Hands-on experience with Agentic AI frameworks, specifically: Strands, AgentCore. - Strong expertise with: - Snowflake (advanced) — performance tuning, Snowpark, RBAC, cost optimization. - OpenFlow for orchestration and processing. - Kafka for event streaming, producers/consumers, schema registry. - dbt for modular SQL development, testing, and documentation. - Strong SQL skills and proficiency in Python. - Solid understanding of modern data architectures (ELT/ETL, real-time streaming, microservices-based pipelines). - Experience with CI/CD for data pipelines, version control, and deployment automation. - Familiarity with cloud platforms (AWS, GCP, or Azure). Preferred Qualifications - Experience building AI-driven data systems, agentic workflows, or LLM-integrated pipelines. - Background in data governance, lineage, observability, and quality frameworks. - Knowledge of Snowflake advanced features such as Dynamic Tables, Streams & Tasks. - Experience with containerized and distributed systems (Docker, Kubernetes). - Strong communication skills and ability to collaborate in cross-functional teams. Company Description Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Role Description Hi, we're Oscar. We're hiring a to join our Clinical Data Analytics team. You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drive the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You will be called upon to speak to prepared analysis both internally and externally. You will report into the Senior Manager, Clinical Analytics. Work Location: This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses. Responsibilities - Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contact for Sr. Managers and Associate Directors. - Analyze data to support business teams in making better informed, data-driven decisions. - Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner. - Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve. - Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies. - Collaborate across the organization, including owning stakeholder relationships with managers & senior managers, to identify actions to achieve improvements and monitor initiative impact. - Support other strategic projects as assigned to meet business needs. - Compliance with all applicable laws and regulations. - Other duties as assigned. Requirements - 3+ years experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests. - 3+ years of technical work experience using analytical tools and writing analytical reports. - 3+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process. - Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples/projects of presenting analysis to Leadership (Director+). - 3+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools. - 3+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets. - 1+ years experience in healthcare, consulting, finance or the insurance industry. Bonus Points - 2+ years experience in preparing healthcare analytics and reporting. - 2+ years experience managing value-based contracts at a payer or a provider organization (ACO, CIN, MSO etc.). - Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience. Benefits - Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. - Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.