Basic Qualifications Bachelor’s degree in Information Technology, Engineering and/or related field or equivalent experience, plus 8 years of related experience or Master’s degree and 6 years of related experience. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position General Dynamics Mission Systems has an immediate opening for a Sr Advanced Denodo Developer – Data Integration. This position provides an opportunity to further advance the cutting-edge technology that supports some of our nation’s core defense/intelligence services and systems. General Dynamics Mission Systems employees work closely with esteemed customers to develop solutions that allow them to carry out high-stakes national security missions. A Denodo Developer designs, develops, and maintains data virtualization solutions using the Denodo Platform, integrating data from multiple sources to deliver unified, efficient business data views. Core Responsibilities - Develop and maintain Denodo Views and data virtualization layers to unify data from diverse sources such as relational databases, cloud platforms, big data, and SaaS applications - Optimize query performance and tune the Denodo environment to ensure efficient data retrieval - Design and implement scheduling jobs within Denodo (e.g., Denodo Scheduler) to automate data workflows - Coordinate with business stakeholders, data architects, and analysts to gather requirements, analyze data needs, and design appropriate virtual data models - Develop new functionalities and maintain existing features on the Denodo platform, including writing automated tests and maintaining product documentation - Implement security protocols and access controls to protect data within the virtualization platform - Troubleshoot integration and data quality issues within the virtualized environment Required Skills and Qualifications - Proficiency with Denodo Platform, especially in developing data views and working within its virtualization environment - Strong knowledge of SQL and relational database design; ability to write complex queries and perform data modeling - Experience with Java programming and object-oriented design principles - Familiarity with cloud platforms (AWS, Azure, Google Cloud), container technologies (Docker, Kubernetes), and web technologies is advantageous - Strong analytical, problem-solving, and communication skills to collaborate effectively across teams and translate technical requirements - Experience with tools like Git, Jenkins, Maven, and familiarity with Agile software development methodologies - Certifications such as Denodo Platform Certified Developer, Administrator, or Architect are highly valued - Preferred experience includes working knowledge of web services (REST APIs), security protocols (OAuth, SAML), Snowflake Platform and integration with BI tools like Tableau or Power BI - Typically requires 5-7 years of experience in software development or specifically working with data virtualization tools - Prior experience with ETL tools (Informatica, DataStage) and data quality frameworks can be beneficial but not mandatory Salary Note This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Combined Salary Range USD $132,930.00 - USD $143,835.00 /Yr. Company Overview General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

• Lead, mentor, and develop engineers across both the Data Operations and Analytics Engineering teams • Contribute to a culture of clear goals, open feedback, and continuous growth across the team. • Promote collaboration and accountability while driving high standards for quality, efficiency, and continuous improvement. • Lead incident management and resolution for pipeline failures, cluster issues, and data quality problems, driving thorough root cause analysis and preventative improvements • Define and enforce operational standards, runbooks, and on-call practices for the team • Manage and maintain Databricks Workflows and job orchestration, ensuring SLAs are consistently met • Oversee the design, development, and maintenance of data models and transformations that serve business intelligence and analytics use cases • Define and enforce analytics engineering best practices including modular transformation patterns, data testing, and code review standards • Partner with data analysts and business stakeholders to understand modeling requirements and ensure data is accurate, accessible, and well-understood

Senior Data Engineer- Healthcare Interoperability We are seeking an experienced Senior Data Engineer to join our healthcare technology team with a primary focus on healthcare interoperability. This role will be instrumental in designing, building, and maintaining our Azure-based data infrastructure, including databases, data pipelines, analytics platforms, and business intelligence solutions — with an emphasis on integrating with Electronic Health Record (EHR) systems and healthcare data exchange standards (FHIR, C-CDA, HL7). The ideal candidate will have deep expertise in the Microsoft data stack, strong architectural thinking, and experience with healthcare data compliance requirements. This senior-level position will also provide technical leadership, mentorship to the broader engineering team and reports to the Director of Data Engineering. Duties & Responsibilities: - Design and implement scalable, secure data architectures on Azure to support business intelligence, analytics, and operational systems - Build and maintain data pipelines using Azure Data Factory, Azure Synapse and related services - Contribute to database designs across multiple platforms (Azure SQL Database, SQL Managed Instance, PostgreSQL, CosmosDB) - Optimize data storage strategies across Azure Blob Storage, Data Lake, and structured databases - Design data models and structures that enable efficient analytics and reporting - Design, develop, and maintain complex stored procedures, functions, triggers, and views - Implement database DevOps processes including schema versioning, deployment automation, and rollback procedures - Perform database performance tuning, indexing strategies, and query optimization - Ensure data integrity, security, and compliance with HIPAA/HITRUST requirements for PHI data - Manage database lifecycle across development, pre-production, and production environments utilizing RedGate Flyway - Design and implement ETL/ELT processes to integrate data from multiple sources - Build event-driven data processing solutions including message producers, consumers, and workers using Azure Service Bus, Event Grid, and related messaging services - Integrate with external REST APIs for data ingestion and develop internal data APIs using Python (FastAPI/Flask) on Azure Container Apps or Functions - Develop data transformation logic and orchestration workflows - Ensure data quality, consistency, and lineage across the data platform - Integrate with Azure AI services and machine learning endpoints as needed - Review designs of Power BI solutions including semantic models, reports, & dashboards - Collaborate with stakeholders to translate business requirements into technical solutions - Optimize data structures for reporting and analytics performance - Provide technical guidance and mentorship to junior developers and engineers - Contribute to data engineering best practices, standards, and patterns - Participate in architecture reviews and technical decision-making - Collaborate with DevOps and Infrastructure teams on platform improvements - Drive continuous improvement in data quality, performance, and reliability - Create and maintain comprehensive technical documentation including data dictionaries, architecture diagrams, and process flows - Document data lineage, transformation logic, and business rules - Ensure all data handling practices meet HIPAA/HITRUST compliance requirements - Maintain audit trails and documentation for compliance purposes - Troubleshoot and resolve complex data-related issues across the platform - Provide escalation support for production incidents - Collaborate with cross-functional teams to support business operations - Participate in on-call rotation as needed Preferred: - Build and maintain integrations with EHR systems using FHIR resources (e.g., Patient, DocumentReference) and C-CDA document parsing/transformation - Support HL7 v2/MDM/ADT message flows where needed, including message parsing and acknowledgment handling - Define and maintain OpenAPI specifications and API versioning; write contract tests to prevent breaking changes - Lead the document templating framework and server-side rendering pipeline for HTML-to-PDF output; ensure accessibility and compliance requirements Experience & Qualifications: Required: - Bachelor’s degree in computer science, Information Systems, Data Engineering, or related field, or equivalent work experience - 6+ years of experience in data engineering, database development, or related roles - Expert-level proficiency in T-SQL and Microsoft SQL Server - Expert-level proficiency of Python - Experience building REST APIs and background workers in Python (FastAPI/Flask) - Understanding of event-driven architectures and asynchronous processing patterns - Strong experience with Azure data services (Azure SQL, Data Factory, Synapse, Blob Storage, etc.) - Hands-on experience building and maintaining data pipelines and ETL/ELT processes - Knowledge of Power BI development skills including DAX, data modeling, and performance optimization - Solid understanding of database design principles, normalization, and data modeling - Experience with version control systems (Git) and CI/CD practices - Strong analytical and problem-solving abilities with attention to detail - Excellent written and verbal communication skills - Ability to work both independently and collaboratively in a team environment - Microsoft certification (Azure Data Engineer Associate, Azure Database Administrator, Power BI Data Analyst) - Knowledge of Infrastructure as Code (Terraform, Bicep, ARM templates) - Knowledge of additional Azure services (Container Apps, Functions, Logic Apps) - Experience with other database platforms (PostgreSQL, CosmosDB) - Understanding of HIPAA/HITRUST compliance requirements for healthcare data - Experience PowerShell for automation and scripting - Experience with Azure DevOps or similar platforms for CI/CD - Experience with data governance, cataloging, and metadata management - Background in healthcare technology or regulated industries - Experience with OpenAPI/Swagger specification design and contract testing - Proficient in advanced usage of AI development tooling (e.g., Claude Code, GitHub Copilot) - Azure API Management and private networking patterns - Travel up to 15%. Preferred: - Practical experience with FHIR (resources, search parameters, OAuth2/SMART on FHIR) and C-CDA parsing/transformation - Experience integrating with Epic, Cerner, Athena, or other EHR/EMR systems - Experience with HL7 v2 (MLLP/MDM/ADT) message handling Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, & activities may change at any time with or without notice.

Job Description REQUIREMENTS - 3+YOE in Data Engineering and working with GCP, GCP Big Query - Knowledge on Data warehouse - Experienc working with Data forms - Excellent data engineering skills including expert SQL, data modeling, and query optimization - Strong experience with big data stack (Spark, PySpark, Hadoop, HIVE, BigQuery, Pub/Sub) in building scalable ETL pipelines - Excellent programming skills (Python) including production level coding techniques (testing, OOP structures, optimization, etc) - Data visualization and dashboarding experience - Great at debugging, troubleshooting, designing, and implementing solutions to complex technical issues - Aptitude to independently learn new technologies, prototype, and propose solutions - Advanced English level RESPONSIBILITIES - Design a cloud-based data warehouse using BigQuery to support analytical workloads. Define fact and dimension tables, apply appropriate partitioning and clustering strategies, and document the data model. - Build a scalable ETL pipeline using PySpark on GCP that ingests raw data, applies transformations, and writes curated data to BigQuery. Implement error handling, logging, unit tests, and modular OOP-based code. - Design and implement a real-time data ingestion solution using Pub/Sub and Dataflow to process streaming events and store aggregated results in BigQuery. - Use Dataform to build, version, and manage SQL-based transformations in BigQuery. Define dependencies, apply data quality assertions, and automate pipeline execution. - Create a dashboard using BigQuery as the data source (e.g., Looker or Looker Studio). Optimize queries for performance and explain metrics, KPIs, and design decisions to stakeholders. About Capgemini Group Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. What you will love about working with us: - At Capgemini we’re always looking ahead. - We reimagine possibilities, and we innovate with technology to bring ideas to life. - We encourage flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment. - They partner with their managers to find an arrangement that works best for their role and their circumstances. - We offer game-changing programs to accelerate the growth of our people and the development of their expertise. What you need to know about what we offer: - Excellent compensation and benefits - Career path, trainings and real growth opportunities - Engaging and challenging projects. - Excellent work environment and culture. - Open and Effective management. - Highly professional and collaborative teams. At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.