• Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver data across the organization. • Develop and optimize distributed data processing jobs using Python for large-scale data transformation and aggregation. • Architect and manage PostgreSQL schemas, tables, indexes, and query performance to support downstream analytics and reporting. • Build and maintain Python-based data workflows to orchestrate, validate, and deliver data reliably across environments. • Monitor and improve data quality, freshness, and completeness through automated checks, alerting, and observability tooling. • Design and manage cloud-based data infrastructure on AWS • Partner with data analysts and stakeholders to translate requirements into well-modeled, maintainable data products. • Maintain documentation for pipelines, data models, data lineage, and infrastructure. • Troubleshoot pipeline failures and data issues, providing timely root-cause analysis and remediation.

Role Description Data Engineer altamente qualificado(a) para integrar o time de Global Trading. O(a) profissional deverá possuir uma sólida compreensão de desenvolvimento full-stack, com forte foco na criação e manutenção de aplicações escaláveis, de alta performance e com qualidade. - Colaboração contínua com equipes técnicas, incluindo Fusion Developers, arquitetos e code owners. - Contribuição ativa para o desenvolvimento de soluções inovadoras que suportem e aprimorem as operações de trading. Qualifications - 5 a 9 anos de experiência em desenvolvimento de software. - Experiência comprovada na construção, operação e suporte de bancos de dados e pipelines de dados robustos e de alta performance. - Experiência em desenvolvimento full-stack. - Forte domínio de SQL e sistemas de gerenciamento de banco de dados. - Sólido conhecimento em modelagem de dados, indexação e otimização de queries. - Experiência no desenvolvimento e manutenção de aplicações web utilizando frameworks e tecnologias modernas. - Conhecimento em otimização de performance web, segurança e boas práticas. - Certificações relevantes são consideradas um diferencial. Requirements - Obrigatório: Snowflake, Python, Databricks, ReactJS, FastAPI. - Experiência com desenvolvimento front-end (frameworks/libraries) e Python. - Forte atuação em desenvolvimento back-end. - Experiência com Databricks e Snowflake. - Familiaridade com serviços de nuvem (AWS, Azure ou Google Cloud). - Capacidade de realizar testes completos de produto, incluindo interface front-end e processamento back-end. - Para a função de Data Engineer, não é obrigatório domínio em React, pois o foco principal será ingestão e curadoria de dados utilizando Databricks. Company Description

Job Description We are seeking an experienced Cloud Data Warehouse and AI/ML Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision-making. The successful candidate will have a strong background in data warehousing, ETL, and AI/ML, with experience in working with various tools. Key Responsibilities: - Design and implement data pipelines to ingest, extract, transform, load (ETL) data and store large data sets from various sources - Build and maintain data warehouses, including data modeling, data governance, and data quality - Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data governance policies - Optimize data systems for performance, scalability, and reliability - Collaborate with customers to understand their technical requirements and provide guidance on best practices for using Amazon Redshift - Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions - Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling - Integrate AI/ML models with ETL pipelines and data warehouses to enable predictive analytics and machine learning - Develop and deploy AI/ML models using popular frameworks such as TensorFlow, PyTorch, or Scikit-learn - Work with data scientists to develop and deploy data-driven products and features - Identify and resolve data-related issues, including data pipeline failures, data quality issues, and performance bottlenecks - Develop technical documentation and knowledge base articles to help customers and AWS engineers troubleshoot common issues Required Education, Experience, & Skills - Bachelor's or Master's degree in Computer Science or a related field, with at least 6 years of experience in Information Technology - Proficiency in one or more programming languages (e.g., Python, Java, Scala) - 6+ years of experience in data engineering, with a focus on designing and implementing large-scale data systems - 5 + years of hands-on experience in writing complex, highly optimized queries across large data sets using AWS Redshift, Oracle and SQL Server. - 5 + years of hands-on experience using AWS Glue, python/spark to build ETL pipelines in a production setting, including writing test cases - Strong understanding of database design principles, data modeling, and data governance - Proficiency in SQL, including query optimization, indexing, and performance tuning - Experience with data warehousing concepts, including star and snowflake schemas - Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components - Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases and cloud-based data warehouses (Redshift) - Experience with data processing frameworks such as Apache Kafka, Fivetran - Experience in building ETL pipelines using AWS Glue, Apache Airflow, and programming languages including Python and PySpark - Understanding of data quality and governance principles and best practices - Experience with AWS services and best practices Soft Skills: - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams - Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable components - Ability to work in a fast-paced environment and adapt to changing priorities - Strong attention to detail and ability to maintain high-quality documentation - Commitment to continuous learning and professional development Preferred Education, Experience, & Skills - Experience with Dataiku - Experience with building reports using PowerBI and Tableau - Familiarity with agile development methodologies and version control systems such as Git - Certification in data warehousing, ETL, or AI/ML (e.g., Certified Data Warehouse Architect, Certified ETL Developer) - Experience with agile development methodologies such as Scrum or Kanban Pay Information Full-Time Salary Range: $79370 - $134929 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems, Inc. BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

Location Designation: Fully Remote Preferred locations for this role are Dallas (TX), Bethlehem (PA), Philadelphia (PA), Chattanooga (TN) or Iowa. Role Overview: The Corporate Vice President (CVP), Data Exchange & Customer Data Services responsible for leading the strategy, execution, and optimization of EDI and data exchange operations supporting benefits administration and carrier connectivity. This role oversees inbound and outbound EDI implementations, as well as ongoing production support, ensuring accurate, timely, and secure data exchange between benefits administration platforms, carriers, clients, and third-party vendors. This leader will manage multiple managers and their respective teams, with oversight across inbound EDI (benefits administration to carrier implementations), outbound EDI (carrier to client or benefits administration platforms), and EDI production support. The CVP will drive operational excellence at scale, ensuring consistency, standardization, and high-quality delivery across all functions. In close partnership with Information Technology (IT) and the Project Management Office (PMO), this role will help define, prioritize, and deliver internal technology enhancements, integration capabilities, and scalable solutions that improve data exchange performance and client outcomes. The ideal candidate brings deep expertise in EDI, proprietary data exchange formats, and carrier connectivity, along with demonstrated success leading leaders and influencing cross-functional partners. This role is critical to ensuring data integrity, minimizing disruption, and delivering a seamless end-to-end client experience across implementation and ongoing service. What You'll Do: Strategic Leadership & Transformation - Define and execute a multi-year strategy for data exchange, customer data services, and integration aligned with GBS business goals. - Lead enterprise transformation initiatives, including API enablement, automation, and platform modernization. - Establish a forward-looking integration strategy across EDI, APIs, and hybrid models. - Drive change management efforts to ensure adoption and sustained value realization. - Monitor industry trends (benefits tech, EDI standards, integration patterns) to inform innovation and competitive positioning. Data Exchange & Integration Strategy - Own the roadmap for inbound and outbound data exchange across benefits administration platforms, carriers, clients, and TPAs. - Design scalable, secure integration frameworks in partnership with Technology and Enterprise Architecture. - Standardize data formats, mapping practices, validation rules, and integration patterns. - Translate business requirements into technical solutions that align with system capabilities. Operational Excellence & Execution - Oversee end-to-end data exchange operations, including: - Inbound EDI implementations (benefits administration - carrier) - Outbound EDI implementations (carrier - client/platforms) - Production support (monitoring, reconciliation, issue resolution) - Ensure achievement of KPIs, SLAs, and client experience metrics. - Establish scalable frameworks for file intake, validation, exception handling, and support. - Drive continuous improvement, automation, and digitization to reduce manual effort and operational risk. - Lead root cause analysis and systemic issue resolution. Client & Partner Experience - Champion a consultative approach to client, carrier, and TPA engagement. - Ensure seamless onboarding, implementation, and in-force service experiences. - Enhance data integration experiences through standardized yet flexible solutions. - Minimize disruption and ensure data accuracy, timeliness, and integrity across all exchanges. Technology Partnership & Delivery - Partner closely with IT, Ben Tech, and PMO to define, prioritize, and deliver: - System integrations - Automation solutions - Data exchange enhancements - Act as a key stakeholder in enterprise roadmap planning and system design. - Drive adoption of modern integration capabilities, including APIs and middleware platforms. Leadership & Talent Development - Lead a multi-layered organization, including managers and teams across EDI, data exchange, and support functions. - Build high-performing teams with strong technical, operational, and consultative capabilities. - Foster a culture of accountability, innovation, and continuous improvement. - Lead organizational design and workforce planning aligned to future-state capabilities. Cross-Functional Collaboration - Partner with Product, Implementation, Operations, Carrier Relations, and Client Services teams to deliver integrated solutions. - Serve as a key liaison between business and technology organizations. - Influence stakeholders to adopt new processes, tools, and ways of working. Financial & Performance Management - Own budget, resource allocation, and expense management for the function. - Define and track KPIs, SLAs, and operational performance metrics. - Develop business cases for technology investments and transformation initiatives. - Provide executive-level reporting on performance, risks, and opportunities. What You'll Bring: - 10+ years of progressive leadership experience in data exchange, operations, or technology-driven environments. - Proven experience leading large-scale transformation initiatives (data strategy, integration, modernization). - Deep expertise in: - EDI (inbound/outbound implementations, production support) - Data exchange formats and standards (e.g., LDEx, BEM, proprietary formats) - Integration architectures (file-based, API, hybrid) - Experience leading multi-level teams and driving alignment through leaders. - Strong partnership experience with IT and PMO organizations. - Expertise in process optimization, automation, and operational excellence frameworks. - Strong understanding of benefits administration platforms, carrier systems, and data ecosystems. - Knowledge of data governance, security, and regulatory requirements (e.g., HIPAA). - Exceptional leadership, communication, and stakeholder management skills. Preferred: - Experience in insurance, employee benefits, or healthcare industries. - Familiarity with integration platforms, middleware, and API ecosystems. - Certifications in project management or process improvement (PMP, Lean, Six Sigma). Success Profile The ideal candidate is a transformational leader who can operate at both strategic and operational levels, someone who not only ensures flawless execution today but also builds the data and integration capabilities required for the future. This leader excels at driving change, aligning stakeholders, and translating complex data and technology concepts into business value. Pay Transparency Salary Range: $160,000-$228,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress. As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it. Our Benefits We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site. Our Commitment to Inclusion At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com. Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities. Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs. Job Requisition ID: 93833