{"schemaVersion":"jobsearcher.job.v1","id":"378878d4a5e9b36f0f9a2cad","url":"https://jobsearcher.com/jobs/378878d4a5e9b36f0f9a2cad","canonicalUrl":"https://jobsearcher.com/jobs/378878d4a5e9b36f0f9a2cad","title":"Associate/Lead Data Engineer","description":"Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our Chicago office.\r\nAs a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we're home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a \"Best Place to Work in Technology\" 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.\r\nWant to learn more about a career in technology and data at Fitch?\r\nVisit: https://careers.fitch.group/content/Technology-and-Data/\r\nHow You'll Make An Impact\r\nLead the design and architecture of end-to-end data pipelines and solutions on modern cloud-based platforms, including Snowflake, Databricks, and AWS.\r\nLead the design and architecture of end-to-end data pipelines and solutions on platforms including Java, Springboot, Docker/Kubernetes, Snowflake, Databricks, and AWS.\r\nDesign and implement data solutions using PostgreSQL for relational data and MongoDB for NoSQL requirements, ensuring optimal performance and scalability.\r\nArchitect and deploy containerized data applications using Docker, Kubernetes, and AWS EKS, incorporating GitHub Actions for automated deployments.\r\nDesign and implement CI/CD pipelines using GitHub Actions, establish branching strategies, and ensure automated testing, code quality checks, and security scanning.\r\nCollaborate with cross-functional teams—including Data Scientists, Analytics teams, and business stakeholders—to translate requirements into scalable technical solutions.\r\nMentor and guide data engineers by promoting technical excellence, establishing coding standards, and conducting architecture reviews.\r\nDrive data platform modernization initiatives and ensure data quality, reliability, and governance across all data systems.\r\nDesign and implement AI-enhanced data pipelines that leverage LLMs and Agentic AI frameworks to automate data quality checks, anomaly detection, and intelligent data transformation workflows.\r\nArchitect data infrastructure to support AI/ML workloads, including feature stores, vector databases, and real-time inference pipelines integrated with cloud-native services.\r\nLeverage established standards and best practices to integrate AI agents into data engineering workflows, including context management protocols (MCP) for seamless AI-to-data-platform communication.\r\nYou May Be a Good Fit If\r\nYou have 8+ years of data engineering experience, including 3+ years in a lead role architecting large-scale data platforms.\r\nExpert-level proficiency in Java, Springboot for building cloud-native data processing solutions running on Docker/Kubernetes.\r\nDeep hands-on experience with Apache Airflow, Snowflake (data warehousing, modeling, optimization), and Databricks.\r\nStrong AWS expertise including S3, Lambda, Glue, EMR, Kinesis, EKS, RDS etc.\r\nProduction database experience with PostgreSQL (design, optimization, replication) and MongoDB (document modeling, sharding, replica sets).\r\nYou have proven CI/CD and GitOps experience using GitHub, GitHub Actions, and ArgoCD for automated deployments and multi-environment management.\r\nYou are proficient with agile tools such as JIRA for sprint management and Confluence for technical documentation and knowledge sharing.\r\nYou have excellent analytical, problem-solving, and communication skills, with the ability to explain complex concepts to non-technical stakeholders and drive initiatives in complex environments.\r\nYou have working knowledge of AI/ML frameworks (LangChain, LlamaIndex, AutoGen, etc.) and understand how Agentic AI can enhance data engineering workflows through automated data validation, intelligent orchestration, and self-healing pipelines.\r\nYou have practical understanding of AI integration patterns in data platforms, including prompt engineering, RAG architectures, and vector database implementations.\r\nYou are familiar with Model Context Protocol (MCP) or similar frameworks for enabling AI agents to interact securely and efficiently with data sources, APIs, and tools.\r\nYou have experience with AI-powered development tools such as GitHub Copilot and Amazon Q.\r\nWhat Would Make You Stand Out\r\nExperience with code quality metrics and shift-left principles.\r\nExperience testing container resiliency (Docker/Kubernetes).\r\nExperience designing large end-to-end performance scenarios.\r\nExperience building large and high-performing data pipelines.\r\nExposure to Playwright and BDD for automated testing.\r\nExposure to the financial industry and data platforms (data warehouses, data lakes).\r\nExperience with modern data stack tools, data mesh/fabric architectures, and streaming platforms (Kafka, Kinesis).\r\nProficiency with observability tools (Datadog) and data quality/governance frameworks.\r\nUnderstanding of data security and compliance standards (GDPR, SOC 2, CCPA) and contributions to open-source data projects.\r\nRelevant certifications (AWS Data Analytics/Solutions Architect, Databricks/Snowflake Data Engineer, CKA).\r\nHands-on experience building production Agentic AI systems that operate on data platforms, including multi-agent orchestration and intelligent pipeline optimization.\r\nDeep expertise with Model Context Protocol (MCP) implementation, including building custom MCP servers or integration patterns for enterprise data platforms.\r\nWhy Choose Fitch\r\nHybrid Work Environment: On-site presence required two days per week.\r\nA Culture of Learning & Mobility: Access to dedicated training, leadership development, and mentorship programs to support continuous learning.\r\nInvesting in Your Future: Retirement planning and tuition reimbursement programs to help you meet your short-and long-term goals.\r\nPromoting Health & Wellbeing: Comprehensive healthcare offerings that support physical, mental, financial, social, and occupational wellbeing.\r\nSupportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance work and family life.\r\nInclusive Work Environment: A collaborative workplace where all voices are valued, supported by Employee Resource Groups that unite and empower colleagues worldwide.\r\nDedication to Giving Back: Paid volunteer days, matched donation programs, and ample opportunities to volunteer in your community.\r\nFitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.\r\nFitch is proud to be an Equal Opportunity and AffirNegative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.\r\nFor Chicago roles only\r\nExpected base pay for this role ranges from $140,000 to $160,000 per year. Actual compensation will depend on factors such as education, training, experience, past performance, and other job-related considerations. Base pay is one component of Fitch's total compensation package, which may also include commissions, discretionary bonuses, long-term incentives, and other benefits.\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Chicago","state":"IL","isRemote":false,"isActive":true,"createdAt":"2026-08-13T01:55:07.924Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Associate/Lead Data Engineer","description":"Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our Chicago office.\r\nAs a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we're home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a \"Best Place to Work in Technology\" 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.\r\nWant to learn more about a career in technology and data at Fitch?\r\nVisit: https://careers.fitch.group/content/Technology-and-Data/\r\nHow You'll Make An Impact\r\nLead the design and architecture of end-to-end data pipelines and solutions on modern cloud-based platforms, including Snowflake, Databricks, and AWS.\r\nLead the design and architecture of end-to-end data pipelines and solutions on platforms including Java, Springboot, Docker/Kubernetes, Snowflake, Databricks, and AWS.\r\nDesign and implement data solutions using PostgreSQL for relational data and MongoDB for NoSQL requirements, ensuring optimal performance and scalability.\r\nArchitect and deploy containerized data applications using Docker, Kubernetes, and AWS EKS, incorporating GitHub Actions for automated deployments.\r\nDesign and implement CI/CD pipelines using GitHub Actions, establish branching strategies, and ensure automated testing, code quality checks, and security scanning.\r\nCollaborate with cross-functional teams—including Data Scientists, Analytics teams, and business stakeholders—to translate requirements into scalable technical solutions.\r\nMentor and guide data engineers by promoting technical excellence, establishing coding standards, and conducting architecture reviews.\r\nDrive data platform modernization initiatives and ensure data quality, reliability, and governance across all data systems.\r\nDesign and implement AI-enhanced data pipelines that leverage LLMs and Agentic AI frameworks to automate data quality checks, anomaly detection, and intelligent data transformation workflows.\r\nArchitect data infrastructure to support AI/ML workloads, including feature stores, vector databases, and real-time inference pipelines integrated with cloud-native services.\r\nLeverage established standards and best practices to integrate AI agents into data engineering workflows, including context management protocols (MCP) for seamless AI-to-data-platform communication.\r\nYou May Be a Good Fit If\r\nYou have 8+ years of data engineering experience, including 3+ years in a lead role architecting large-scale data platforms.\r\nExpert-level proficiency in Java, Springboot for building cloud-native data processing solutions running on Docker/Kubernetes.\r\nDeep hands-on experience with Apache Airflow, Snowflake (data warehousing, modeling, optimization), and Databricks.\r\nStrong AWS expertise including S3, Lambda, Glue, EMR, Kinesis, EKS, RDS etc.\r\nProduction database experience with PostgreSQL (design, optimization, replication) and MongoDB (document modeling, sharding, replica sets).\r\nYou have proven CI/CD and GitOps experience using GitHub, GitHub Actions, and ArgoCD for automated deployments and multi-environment management.\r\nYou are proficient with agile tools such as JIRA for sprint management and Confluence for technical documentation and knowledge sharing.\r\nYou have excellent analytical, problem-solving, and communication skills, with the ability to explain complex concepts to non-technical stakeholders and drive initiatives in complex environments.\r\nYou have working knowledge of AI/ML frameworks (LangChain, LlamaIndex, AutoGen, etc.) and understand how Agentic AI can enhance data engineering workflows through automated data validation, intelligent orchestration, and self-healing pipelines.\r\nYou have practical understanding of AI integration patterns in data platforms, including prompt engineering, RAG architectures, and vector database implementations.\r\nYou are familiar with Model Context Protocol (MCP) or similar frameworks for enabling AI agents to interact securely and efficiently with data sources, APIs, and tools.\r\nYou have experience with AI-powered development tools such as GitHub Copilot and Amazon Q.\r\nWhat Would Make You Stand Out\r\nExperience with code quality metrics and shift-left principles.\r\nExperience testing container resiliency (Docker/Kubernetes).\r\nExperience designing large end-to-end performance scenarios.\r\nExperience building large and high-performing data pipelines.\r\nExposure to Playwright and BDD for automated testing.\r\nExposure to the financial industry and data platforms (data warehouses, data lakes).\r\nExperience with modern data stack tools, data mesh/fabric architectures, and streaming platforms (Kafka, Kinesis).\r\nProficiency with observability tools (Datadog) and data quality/governance frameworks.\r\nUnderstanding of data security and compliance standards (GDPR, SOC 2, CCPA) and contributions to open-source data projects.\r\nRelevant certifications (AWS Data Analytics/Solutions Architect, Databricks/Snowflake Data Engineer, CKA).\r\nHands-on experience building production Agentic AI systems that operate on data platforms, including multi-agent orchestration and intelligent pipeline optimization.\r\nDeep expertise with Model Context Protocol (MCP) implementation, including building custom MCP servers or integration patterns for enterprise data platforms.\r\nWhy Choose Fitch\r\nHybrid Work Environment: On-site presence required two days per week.\r\nA Culture of Learning & Mobility: Access to dedicated training, leadership development, and mentorship programs to support continuous learning.\r\nInvesting in Your Future: Retirement planning and tuition reimbursement programs to help you meet your short-and long-term goals.\r\nPromoting Health & Wellbeing: Comprehensive healthcare offerings that support physical, mental, financial, social, and occupational wellbeing.\r\nSupportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance work and family life.\r\nInclusive Work Environment: A collaborative workplace where all voices are valued, supported by Employee Resource Groups that unite and empower colleagues worldwide.\r\nDedication to Giving Back: Paid volunteer days, matched donation programs, and ample opportunities to volunteer in your community.\r\nFitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.\r\nFitch is proud to be an Equal Opportunity and AffirNegative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.\r\nFor Chicago roles only\r\nExpected base pay for this role ranges from $140,000 to $160,000 per year. Actual compensation will depend on factors such as education, training, experience, past performance, and other job-related considerations. Base pay is one component of Fitch's total compensation package, which may also include commissions, discretionary bonuses, long-term incentives, and other benefits.\r\nJ-18808-Ljbffr","datePosted":"2026-08-13T01:55:07.924Z","dateModified":"2026-08-13T01:55:07.924Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"378878d4a5e9b36f0f9a2cad"},"url":"https://jobsearcher.com/jobs/378878d4a5e9b36f0f9a2cad"}}