Data Platform Engineer – Build the Backbone of AICapco at Data & AI Warsaw Tech Summit 2026About Capco Capco drives digital transformation across the financial industry. A global consulting firm focused on financial services, Capco partners with leading banks, fintechs, and financial institutions to design and deliver next-generation data platforms, AI solutions, and digital ecosystems. From data strategy and modern platforms to AI-powered decision systems and GenAI innovation, teams unlock measurable value from data. What defines Capco? A fast, flexible, and entrepreneurial environment. Quick decision-making, creative thinking, and real ownership enable people to push the boundaries of what technology can achieve. Capco stands for: • Trusted partnerships with banks, payments providers, and financial institutions • Delivery of modern data platforms and AI-powered systems • Innovation across cloud, data engineering, machine learning, and GenAI • A community of engineers, architects, and consultants solving complex challenges Meet Capco at the Data & AI Warsaw Tech Summit 🚀At this year’s Data & AI Warsaw Tech Summit, Capco will share how financial institutions can move from experimentation to production-grade AI and scalable data ecosystems. Our experts will explore how organizations can: • Build AI-native architectures on modern cloud platforms • Scale machine learning and generative AI solutions across enterprise environments • Transform fragmented data into high-value data products • Embed AI into real business workflows and decision-making systems Capco Speakers at Data & AI Warsaw Tech Summit 🚀Andrzej Worona & Laura Żusin-KaczmarekTopic: From Data to Meaning: Educating AI in Banking with Ontologies: Lessons from FIBO and Conversational Banking Time: 11:50-12:10 CET Intro: Many AI solutions still fall short when it comes to understanding and reasoning about complex financial concepts. The real challenge is about how financial knowledge is represented and shared with machines. Why does AI still misunderstand basic banking terms despite having access to vast amounts of data? How can AI truly understand financial concepts? Using the Financial Industry Business Ontology (FIBO) as an example of structured domain knowledge, we will discuss how formal, machine-readable definitions can provide the contextual foundation AI needs. By analysing selected conversational banking scenarios and example solutions, we will invite participants to reflect together on what the right semantic layer for AI in banking should look like. Join us to discover why the next leap in AI for banking isn’t just about more data or better models, but about building a structured understanding of financial meaning. Looking for Data Engineers Role OverviewWe are looking for a Data Engineer to join our Data & Analytics team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures. You will work closely with data analysts, data scientists, and business stakeholders to ensure reliable and high-quality data is available for decision-making. Key Responsibilities - Design, develop, and maintain ETL/ELT data pipelines - Integrate data from multiple sources (APIs, databases, external systems) - Build and optimize data warehouses and data lakes - Ensure data quality, consistency, and availability - Monitor and improve performance of data processing systems - Collaborate with data scientists and analysts to deliver datasets - Create and maintain technical documentation - Implement and manage cloud-based data solutions (AWS, Azure, GCP) Requirements - Proven experience as a Data Engineer or similar role (3+ years) - Strong SQL skills - Proficiency in Python or Scala - Experience with ETL tools (e.g., Airflow, dbt, Informatica, Talend) - Experience with relational and NoSQL databases - Familiarity with cloud platforms (AWS, Azure, or GCP) - Understanding of data warehousing concepts and data modeling - Experience working with large-scale data (e.g., Spark, Hadoop) - Strong problem-solving and communication skills Nice to Have - Experience with BI tools (e.g., Power BI, Tableau) - Knowledge of DataOps and CI/CD practices - Experience working in Agile environments - Familiarity with Docker and Kubernetes Online Recruitment Process - Screening call with the Recruiter - Hiring Manager Technical Interview - Feedback - Offer We offer a flexible collaboration model based on a B2B contract with the opportunity to work on diverse projects.

• Define and maintain a data engineering roadmap; align technical priorities with business objectives and the Northrop Grumman data strategy • Build and lead a high-performing, collaborative team; mentor engineers on design patterns, code quality, data architecture, and career development • Champion clean, modular architecture and enforce engineering best practices • Drive end-to-end delivery of data pipelines in Databricks, ensuring reliability, scalability, and performance while meeting roadmap milestones • Lead the migration to our Databricks enterprise lakehouse • Collaborate with leaders and teams across various functions

• Develop and maintain integration solutions using MuleSoft and Salesforce-native tools (e.g., Salesforce Flow, Data Loader). • Collaborate with stakeholders, Business Analysts, and development teams to define data models, integration flows, and technical specifications. • Design and implement scalable, secure data architectures aligned with DHS and federal compliance standards (e.g., NIST, FISMA). • Lead data migration efforts from legacy systems to Salesforce, ensuring data integrity, accuracy, and completeness. • Perform data mapping, cleansing, transformation, and validation to support migration and integration workflows. • Write and optimize ETL scripts (e.g., SQL, Apex, Python) for data extraction, transformation, and loading. • Support the Authorization to Operate (ATO) process by contributing to cybersecurity documentation and ensuring compliance with DoD and federal security standards. • Provide technical guidance on data governance, data quality, and integration best practices. • Create and maintain technical documentation, including migration plans, integration specifications, and gate review deliverables. • Participate in Agile ceremonies (e.g., sprint planning, daily stand-ups) to align with team goals and timelines. • Troubleshoot and resolve data or integration issues post-deployment to support ongoing system maintenance.

Our culture and people are what set us apart from other post-acute care providers. We’re dedicated to the growth and development of our team to set them up for success. We CARE for our patients like they are our own FAMILY. Location: Fully Remote Compensation: Starting at $100,000 annually! SUMMARY: Alternate Solutions is looking for a Data & Integrations Engineer to work closely with Business Stakeholders, Leadership and Technical teams to architect, design and develop integration workflows for data exchange between systems in real-time and batch in support of new Health system Partner implementation. The ideal candidate will be experienced with Enterprise integration architecture, API Management, NLP, Design and Development of data/integration jobs and have awareness of emerging data technologies with the ability to adopt and apply new data design/ingestion patterns. Strong communication and analytics skills are key for this role as the candidate will drive integration and other technical discussions pertaining to data with peers at various large and complex health systems partners. QUALIFICATIONS & ATTRIBUTES: - Bachelor's Degree in Computer Science or related field or 8+ years' experience building Integration services - 8+ years of experience designing, developing, troubleshooting, documenting and supporting SOAP/REST APIs - 4+ years of experience working with cloud native services such as AWS API Gateway, SQS, Lambda - 4+ years of experience with one or more iPaaS platforms, preferably Workato - Ability to assimilate disparate information (log files, error messages) and pursue leads to identify root cause - Proficiency with at-least two scripting languages (e.g. JavaScript, Python, Lua). Python preferred. - Sound knowledge of healthcare interoperability standards, such as HL7's Version 2.x messaging standard, Clinical Document Architecture (CDA), and FHIR - Working knowledge of healthcare terminology and standards (e.g. ICD-10-CM, CPT, RXNORM...) - Proficiency with SQL and Non-SQL Databases, DevOps and CI/CD tools - Knowledge of various data and AI related services in AWS highly preferred - Knowledge and experience of NLP is highly preferred - Strong verbal and written communication skills - Ability to deliver results on multiple concurrent projects and work streams - Ability to complete milestones and work toward multiple deadlines simultaneously MAJOR AREAS OF RESPONSIBILITY: - Works with business, implementation and technical teams to identify functional requirements that drive data architecture and technology decisions to meet new implementations with major hospital systems including EPIC, CERNER and MEDTECH. - Leads and drives conversations with leadership team, business, technical and implementation teams - Design, develop, and implement efficient and scalable integration solutions, adhering to best-practice standards in areas of performance, maintainability, exception handling & recovery - Works hands-on in designing and developing APIs for interfacing with Hospital EMRs, ELT jobs for real-time transaction workloads - Works with technical/business representatives from 3rd party vendors, partner organizations for secure data exchange or other data related needs - Serves as an EHR interoperability subject matter expert and provides guidance to business, and technical team members - Mentors, coaches and develops Integration / ETL Engineers - Complies and adheres to all company policies and procedures #INDASHN3 We’ll help you put your passion for patient care to work. Apply today! This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. We are an Equal Opportunity Employer.