Data Engineer jobs at Fidelity & Guaranty Life Insurance Company

Cloud Infrastructure Engineer We are seeking a skilled Cloud Infrastructure Engineer to design, implement, and maintain secure, scalable, and resilient cloud infrastructure solutions. The role involves leveraging SaaS and cloud-based technologies to solve complex business challenges and support global operations. Responsibilities Implement and support enterprise-scale cloud solutions and integrations. Build and automate cloud infrastructure using IaC tools such as Terraform, CloudFormation, or ARM templates. Deploy and support Generative AI platforms and cloud-based vendor solutions. Implement and enforce cloud security best practices, including IAM, encryption, network segmentation, and compliance with industry standards. Establish monitoring, logging, and alerting frameworks to ensure high availability and performance. Optimize cost, performance, and reliability of cloud services. Participate in on-call rotations and provide support for cloud infrastructure issues. Maintain documentation, conduct knowledge transfer sessions, and perform design peer reviews. Experience Level 5+ years in cloud infrastructure engineering, preferably in regulated industries. Deep expertise in at least one major cloud platform (Azure, AWS, or GCP). Proficient with Azure and related services (AI/ML tools, security, automation, governance). Familiarity with SIEM, CNAPP, EDR, Zero Trust architecture, and MDM solutions. Experience with SaaS integrations and managing third-party cloud services. Understanding of virtualization, containerization, auto-scaling, and fully automated systems. Experience scripting in PowerShell and Python; working knowledge of REST APIs. Networking knowledge (virtual networks, DNS, SSL, firewalls) and IT change management. Strong collaboration, interpersonal, and communication skills. Willingness to participate in on-call rotations and after-hours support. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

We are seeking a highly skilled and motivated Software Engineer to join our growing technology team. The role is responsible for designing and coding enhancements, features, and fixes for existing applications, as well as building new applications, including initiatives involving Generative AI and agentic solutions. The engineer will provide expert-level support, contribute to system strategy and planning, and collaborate with internal teams, stakeholders, and external vendors to deliver technology solutions. Base: 150k-200k All in total comp including bonus: 225k-300k Responsibilities Develop, integrate, and support custom and vendor technology solutions for business processes. Collaborate with business analysts, support, and infrastructure teams to implement end-to-end solutions. Create and maintain detailed functional and technical user stories. Design, develop, train, and support Generative AI solutions. Maintain documentation, conduct knowledge transfer sessions, and participate in peer review of designs. Experience Level 6+ years of IT development experience, including design, implementation, testing, and documentation of modern web applications (Python, React/Angular, JavaScript, .NET, cloud platforms). Experience building RESTful APIs and backend integrations. Exposure to Generative AI applications, agentic solutions, and LLM frameworks is a plus. Solid RDBMS and SQL knowledge; familiarity with data warehousing tools is preferred. Experience with DevOps and CI/CD pipelines (Azure DevOps, GitHub, Jenkins, Maven, Kubernetes). Knowledge of secure development practices and API security. Experience in Agile/Scrum development methodologies. Strong analytical, problem-solving, and system design skills. Willingness to participate in on-call rotations and after-hours support. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

See yourself at Radian? We see you here too. At Radian, we see you. For the person you are and the potential you hold. That's why we've embraced a new way of working that lets our people across the country be themselves, be their best and be their boldest. Because when each of us is truly seen, each of us gives our best - and at Radian, we'll give you our best right back. Studies have shown that job seekers may hesitate to apply for jobs unless they meet every single qualification listed. We strive to see the potential in each applicant, so if you're excited about this role but your experience or education level doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. The Data Scientist II, MIRS primary function is estimating, validating, monitoring, and implementing consumer credit models focused on mortgage default and prepayment. This requires the use of statistical and econometric methods within a structural modeling framework while leveraging cloud computing solutions. Models will be applied to estimate mortgage insurance cash flows including claim incidence, claim severity, required capital, expected premium, return on equity, existing mortgage insurance policy attrition, and new insurance policy acquisition. The position requires the Credit Modeler II to research, develop and make recommended changes to existing models and new models. Cash flow valuation of primary mortgage insurance policies, structured mortgage insurance policies, mortgage-backed derivatives, reinsurance, and other risk-transfer transactions are also within the position's scope of analysis. Additional responsibilities may include supporting economic scenario simulation, economic capital, and portfolio optimization. Responsibilities include leveraging machine learning, AI and econometrics in hybrid model design using Big Data and unstructured data to cultivate and leverage business insights. The position requires the ability to effectively communicate technical findings and recommendations to nontechnical managements teams. See Yourself as a Data Scientist II The Data Scientist II primary function is estimating, validating, monitoring, and implementing consumer credit models focused on mortgage default and prepayment. This requires the use of statistical and econometric methods within a structural modeling framework while leveraging cloud computing solutions. Models will be applied to estimate mortgage insurance cash flows including claim incidence, claim severity, required capital, expected premium, return on equity, existing mortgage insurance policy attrition, and new insurance policy acquisition. The position requires the DS II to research, develop and make recommended changes to existing models and new models. Cash flow valuation of primary mortgage insurance policies, structured mortgage insurance policies, mortgage-backed derivatives, reinsurance, and other risk-transfer transactions are also within the position's scope of analysis. Additional responsibilities may include supporting economic scenario simulation, economic capital, and portfolio optimization. Responsibilities include leveraging machine learning, AI and econometrics in hybrid model design using Big Data and unstructured data to cultivate and leverage business insights. The position requires the ability to effectively communicate technical findings and recommendations to nontechnical managements teams. See Your Primary Duties and Responsibilities Delinquency, default, prepayment, claim severity model estimation and design. Programming in support of model estimation, implementation, monitoring, and back testing Creation of analytical presentations and communication of strategic business findings to management Analysis and recommendations on alternative credit structures, risk sharing arrangements, and/or non-traditional manners in which to participate and take on credit risk as appropriate and necessary. Data manipulation of large files (R, Python, or SAS datasets) to identify trends and make recommendations and/or adjustments to credit/portfolio guidelines as necessary. Model development and methodology research Perform other duties as assigned or apparent. See the Job Specifications Qualifications: Strong understanding of probability modeling. Strong analytical background, along with the ability and willingness to effectively make recommendations on transactions based on sound business judgment. Knowledge in SAS, R, C++ or python for data analysis and modeling. Experience leveraging AWS based applications and resources (EC2, EMR, S3, Lambda, Jupyter Notebook, Zeppelin, Spark) is desirable. Expert mathematical, statistical, and econometric knowledge. Strong understanding of financial analysis of structured mortgage products. Experience leveraging cloud computing. Able to work in a team environment. Able to effectively summarize and communicate relevant findings and other information. Your Education, Certifications and Prior Work-Related Experience: Degree Requirement: Bachelor's degree or foreign equivalent and 3 years of experience Degree Preferred: Master's degree or foreign equivalent and 1 years of experience. Work Experience: 3 or more years of prior work related experience See Why You Should Work With Us Competitive Compensation: anticipated base salary from $97,000 to $137,000 based on skills and experience. This position is eligible to participate in an annual incentive program. Rest and Relaxation. This role is eligible for 25 days of paid time off annually, which is prorated in the year of hire based on hire date. In addition, based on your hire date, you will be eligible for 9 paid holidays + 2 floating holidays. Parental leave is also offered as an opportunity for all new parents to embrace this exciting change in their lives. Our Company Makes an Impact. We've been recognized by multiple organizations like Bloomberg's Gender-Equality Index, HousingWire's Tech 100, and The Forum of Executive Women's Champion of Board Diversity. Radian has also pledged to PwC's CEO Action for Diversity & Inclusion commitment. Comprehensive Health Benefits. Multiple medical plan choices, including HSA and FSA options, dental, vision, and basic life insurance. Prepare for your Future. 401(k) with a top of market company match ( did we mention the company match is immediately vested?! ) and an opportunity to participate in Radian's Employee Stock Purchase Plan (ESPP). Homebuyer Perks. Our Homebuyer Perks program helps employees navigate the home searching, buying, selling, and refinancing processes and provides valuable financial benefits to encourage, enable, and support home ownership. Additional Benefits. To learn more about our benefits offerings, visit our Benefits Page. #LI-NA1 The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Radian will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. See More About Radian Radian is a fintech servicing the mortgage and real estate services industry. As a team, we pride ourselves on seeing the potential of every person, every idea and every day. Seeing each other at Radian goes far beyond our open, flexible culture. It means seeing our people's potential - and creating inspiring career paths that help them get there. Or seeing new pathways and innovating for the future of our industry. It means seeing each other for all that we are. And it means seeing our purpose as one that extends beyond the bottom line - having an impact on communities across the country to help more people achieve the American Dream of homeownership. We hope you'll see yourself at Radian. See more about us at Radian.com. Defining Roles for Radian's Future Understanding the qualities and characteristics that define a Leader and an Employee is important to building our future-fit workforce. Radian's future is only as bright as its people. For that reason, our People Plan includes profiles to support the qualities and characteristics that each Leader as well as each Employee should embody upon hire or via development. EEO Statement Radian complies with all applicable federal, state, and local laws prohibiting discrimination in employment. All qualified applicants will receive consideration for employment without regard to gender, age, race, color, religious creed, marital status, gender identity, sexual orientation, national origin, ethnicity, ancestry, citizenship, genetic information, disability, protected veteran status or any other characteristic protected by applicable federal, state, or local law. An applicant's criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. The material duties include those listed in the “Primary Duties and Responsibilities” section above, as well as the ability to adhere to Company policies, exercise sound judgment, effectively manage stressful situations, work safely and respectfully with others, exhibit trustworthiness, and safeguard confidential information belonging to the Company and its customers. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Opportunity Employer Details To learn more about Radian's Code of Conduct and Ethics and workplace conduct, please click [here]. Radian participates in E-Verify [Link] (en español [Link]). Learn more about your rights under immigration laws [Link] (en español [Link]). View the "Know Your Rights: Workplace Discrimination is Illegal" poster [Link]. View “Employee Rights under FMLA” [Link]. View “Employee Rights under EPPA" [Link]. Accommodation Whether you require an accommodation for the job application or interview process, Radian is dedicated to a barrier-free employment process and encourages a diverse workforce. If you have questions about the accommodation process, please e-mail ******************. Please note that you may redact or remove age-related information that identifies your age, date of birth, or dates of attendance at or graduation from an educational institution on any additional application materials you submit as part of the application. Additional application materials include but are not limited to, resumes, CVs, transcripts, or certifications.

Lead Data Scientist, Document Intelligence & AI Agents Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution. Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience. Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions. In this role as Lead Data Scientist for the DSL, you'll be entrusted with developing solutions for IDP (Intelligent Document Processing), Intelligent Knowledge Retrieval, AI Automation solutions leveraging Agentic AI and Generative AI, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to operational efficiencies and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction. You Will: Leadership & Strategy Set the multi-year vision and portfolio roadmap for Document Intelligence, Intelligent Knowledge Retrieval, and AI Bots aligned to Guardian's business strategy and digital transformation. Be the AI thought leader: identify methods, platforms, and operating models to scale GenAI/ML delivery; articulate build-vs-buy decisions and investment cases. Define north-star metrics (e.g., straight-through-processing %, cycle-time reduction, cost-to-serve, accuracy/quality, call deflection) and track value realization with executive stakeholders. Lead, mentor, and grow a high-performing team of data scientists; instill a culture of curiosity, rapid experimentation, and delivery excellence. Product & Delivery (IDP, Retrieval, AI Bots) Lead the end-to-end lifecycle-from discovery and pilot to enterprise rollout-of IDP use cases (classification, OCR/layout understanding, entity/table extraction, summarization) across underwriting, claims, and customer service. Design and ship retrieval-augmented solutions (RAG/grounded generation, vector search, conditional routing) for policy, clinical, and knowledge assets. Build agentic automations and AI bots for intake, triage, and workflow orchestration; integrate with core systems and human-in-the-loop reviews. Translate ambiguous business problems into measurable ML/AI products with clear SLAs, success criteria, and operational runbooks. Research & Innovation Evaluate and adapt advances in deep learning, LLMs, multimodal document models, and tool-use/agents to high-impact insurance scenarios. Establish partnerships with universities and industry to co-develop methods; convert research into patentable IP and reusable components. Prototype quickly using realistic data and constraints; promote winning ideas to production with rigorous A/B and champion-challenger testing. Delivery, Responsible AI & Enterprise Integration Implement multi-layer evaluation (document accuracy, retrieval quality, grounding/hallucination, safety, latency/cost) with automated regression tests. Optimize compute and inference (GPU/distributed, caching/batching, model routing) for cost and performance. Embed Responsible AI by design: privacy/PHI/PII safeguards, explainability, bias monitoring, content safety, and model risk documentation; enforce governance for prompts, datasets, and versioning aligned with legal/compliance/audit. Partner with Product, Engineering, Data, and business leaders to prioritize the backlog, integrate into workflows, and standardize reusable libraries, patterns, and reference architectures across the enterprise. Lead vendor evaluations and third-party/open-source usage (security, data residency); represent Guardian with executives and at industry forums, communicating progress, risks, and opportunities with clarity. You are: You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy leading a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: Advanced degree: PhD (6+ years) or Master's (8+ years) in Computer Science, Engineering, Applied Math, or related field-or equivalent experience. 7+ years building and shipping ML/AI solutions, including 3+ years leading data science teams; experience managing a team of practitioners. Document Intelligence (IDP) expertise: OCR/layout understanding, document classification, entity & table extraction, summarization; comfortable with modern document models and OCR services. LLMs & GenAI: prompt design and tuning (incl. PEFT/fine-tuning), tool/function calling, safety guardrails; hands-on with retrieval-augmented generation (RAG), vector search, chunking, and grounding over enterprise content. AI Bots & Agentic Automation: experience building task-oriented agents and bots for intake, triage, and workflow orchestration with human-in-the-loop controls. Strong Python plus PyTorch and/or TensorFlow; solid algorithms background and proficiency in data/ML engineering patterns (e.g., Spark or Ray) and GPU/distributed computing. MLOps proficiency: CI/CD for models and prompts, experiment tracking (e.g., MLflow/W&B), model/feature/embedding stores, observability/monitoring, A/B and champion-challenger testing. Evaluation mindset end-to-end: document accuracy, retrieval quality, grounding/hallucination, safety, latency/cost, tied to business KPIs. Responsible AI & governance in regulated environments: privacy for PHI/PII, bias/fairness monitoring, explainability, model risk documentation, and versioned data/prompt governance. Executive communication & influence: clear storytelling, stakeholder management, vendor evaluation, and building investment cases. Location: Three days a week at our New York, NY office, Salary Range: $148,940.00 - $244,685.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at ************************************************ Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Hi, we're Oscar. We're hiring a Lead Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: Oscar has both care management and virtual care assets which provide a mechanism to help clinically risky members. You will help to improve the impact of these programs. This will involve sizing ideas to change existing or create new programs, designing experiment/measurement plans for programs, designing targeting mechanisms used for identification for programs, conducting ongoing monitoring and measuring of programs, and determining ways to optimize programs. You will apply population health or clinical expertise, predictive modeling, and traditional healthcare program evaluation techniques. You work with Oscar's clinical team and have accountability for driving shared goals. You will report into the Senior Director, Data. Work Location: This position is based in our New York office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Translates business goals into plans and tactics for the team Works with more senior leaders to establish longer term strategies and roadmaps Participates in team-wide technical and operations management responsibilities Interacts and collaborates closely with data and business management across functional areas Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses Compliance with all applicable laws and regulations Other duties as assigned Requirements: 6+ years of industry or other quantitative technical fields (which may include academia) 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 4+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: 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. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

We are building a next-generation Cloud Data Platform to unify data from Policy, Claims, Billing, and Administration systems into a single source of truth. We are seeking a Lead Cloud Data Engineer who will be 75% hand-on and play a critical role in designing, building, and optimizing our modern data ecosystem leveraging Medallion architecture, Delta Lake, and modern data warehouse technologies such as Snowflake, Synapse, or Redshift. As a technical leader, the Lead Data Engineer will define and execute the end-to-end data engineering strategy from data ingestion and modeling to governance and performance optimization enabling scalable, high-quality, and analytics-ready data assets. This role requires hands on deep technical expertise in cloud-native data engineering, automation, and architecture design, coupled with strong leadership to mentor teams and align solutions with business goals. Responsibilities: Data Platform Design & Architecture * Define the strategic roadmap for the enterprise data platform, ensuring scalability, performance, and interoperability across business domains. * Architect and implement cloud-native, Medallion-based data architectures (Bronze-Silver-Gold layers) for unified and governed data delivery. * Drive standardization of data models, pipelines, and quality frameworks across Policy, Claims, Billing, and Administrative data assets. * Evaluate and implement emerging data technologies to strengthen the platform's performance, cost efficiency, and resilience Data Integration & Ingestion * Design, build, and optimize high-performance ingestion pipelines, using AWS Glue, Databricks, or custom Spark applications. * Automate ingestion of structured, semi-structured, and unstructured data from APIs databases, and external data feeds. * Tune and monitor ingestion pipelines for throughput, cost control, and reliability across dev/test/prod environments. Data Transformation & Modeling * Hands on Development of ETL/ELT pipelines using Databricks or similar frameworks to transform raw data into curated and consumption-ready datasets. * Design and develop relational, Vault, and dimensional data models to support analytics, BI, and AI/ML workloads. * Define and enforce data quality standards, validation frameworks, and enrichment rules to ensure trusted business data. * Apply data quality, cleansing, and enrichment logic to ensure accuracy and completeness of business-critical data. Cloud Infrastructure, Automation and Performance * Collaborate with DevOps and Cloud Engineering teams to design automated, infrastructure-as-code environments using Terraform, CloudFormation, or equivalent tools. * Implement CI/CD pipelines for data pipeline deployment, versioning, and testing. * Lead performance tuning and scalability optimization to ensure highly available, cost-efficient data platform. Governance, Security & Compliance * Implement and enforce data governance, cataloging, and lineage practices using tools such as Purview, Alation, or Collibra. * Partner with InfoSec to implement data privacy, access control, and compliance frameworks aligned with regulatory standards. * Drive consistency and accountability in data stewardship across business and IT teams. Leadership, Collaboration & Mentorship * Lead a team of data engineers, providing technical guidance, coaching, and performance mentorship. * Collaborate with Data Architects, Analysts, and Business Leaders to align data solutions with enterprise strategy. * Promote a culture of engineering excellence, reusability, and knowledge sharing across data organization. * Influence enterprise-wide standards for data engineering, automation, and governance. Qualifications: * Bachelor's or master's degree in computer science, Data Engineering, or a related field. * 12+ years of experience in data engineering with at 3+ years in a lead or architect-level role and least 8+ years on cloud platforms (AWS, Azure, or GCP). * Deep hands-on experience with Python, SQL, and data modeling (relational, and Dimensional), Databricks, Spark, AWS Glue, Delta Lake, Snowflake, Synapse, or Redshift * Proven experience with Medallion architecture, modern data warehousing principles., data governance, lineage, and CI/CD for data pipelines * Excellent leadership, communication, and cross-functional collaboration skills. * Experience in the Property & Casualty (P&C) Insurance domain such as Policy, Claims, or Billing data preferred. * Familiarity with event-driven architectures (Kafka, Kinesis) and real-time data streaming. * Knowledge of machine learning pipeline integration and feature engineering. * Proven ability to lead large-scale data modernization or cloud migration initiatives. Compensation: * $140,000 - $165,000 commensurate with experience, plus bonus eligibility Benefits: We are proud to offer a robust benefits suite that includes: * Competitive base salary plus incentive plans for eligible team members * 401(K) retirement plan that includes a company match of up to 6% of your eligible salary * Free basic life and AD&D, long-term disability and short-term disability insurance * Medical, dental and vision plans to meet your unique healthcare needs * Wellness incentives * Generous time off program that includes personal, holiday and volunteer paid time off * Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance #TMG

Company:Oliver WymanDescription: Principal Engineer ____ WHO WE ARE Oliver Wyman Performance Transformation is a ground-breaking division within Oliver Wyman delivering world-class solutions to give our clients a competitive edge. We work across the full technology stack from databases and analytics to APIs and web and mobile applications. With a mixture of over 700 consultants, specialists and support professionals in 16 major cities across the world, we're committed to growth that retains our start-up agility while expanding our opportunities for world-class work. Oliver Wyman is a global leader in management consulting. With a staff of over 4000 across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. ____ THE ROLE AND RESPONSIBILITIES No two OW Performance Transformation projects are the same . You'll be working with hugely varied and diverse teams to deliver unique and unprecedented strategy and product delivery across industries. The Principal Engineer at Oliver Wyman Performance Transformation is crucial to defining, designing, and delivering solutions that achieve breakthrough impact for our clients - all enabled by best-in-class DevSecOps model, Agile practices, architecture and tech stack. As a Principal Engineer, you will work alongside Oliver Wyman partners in Performance Transformation and other practice groups, engage directly with clients to understand their business challenges, and craft optimal solutions to be delivered by OW Performance Transformation specialists and consultants delivering strategy, or products into production. You will own all technology and engineering responsibilities for a cross-functional team covering technology, data science, customer experience and design. When you are a product builder, you will be hands-on defining the architecture, tech stack, leading the engineering team while working with the product owner and designer. You will be instrumental in helping to validate build feasibility, operating costs, handle risk as well as key aspects of security, performance, resiliency, and scalability. Cost benefit and trade-off analysis will be key as you work with the team to build something amazing. You will collocate with the team regularly or occasionally, working remotely at other times. We're also hoping you'll be able to bring us experience with at least one of the following: Financial services and/or capital markets Health and life sciences domain Insurance (individual or group) Consumer, retail, energy, or transportation domain ____ YOUR EXPERIENCE We believe in and practice servant leadership here, so your primary goal is to bring the best out of the other talented technologists on the team, not to do it all yourself. What you'll get to do: Provide hands-on technical leadership, training and mentoring staff Develop DevSecOps, CI/CD, release engineering strategies applying DORA, SPACE, and other industry leading metrics advocating developer productivity and product stability Lead change management initiatives, helping our clients navigate and embrace new ways of working Help to improve the OW Performance Transformation Architecture and Engineering specialty Design and architect innovative, modern cloud-native digital experiences that are scalable, resilient, and secure Communicate complex technical concepts clearly to both technical and non-technical stakeholders Write code alongside your development team Work with state-of-the-art technologies to solve genuine, real-world problems Champion good agile practices that provide a foundation for iterative product development Build strong relationships with product managers, designers, customer experience and human insights experts Enjoy working in a diverse, dynamic, collaborative, transparent, environment where everyone's ideas and opinions are equally valued Cross-pollinate good practices and insights between projects and groups within the firm Travel 10 - 25% of the time to collaborate with distributed teams or clients as needed What you'll bring: For the Principal Engineer role, we are looking for senior hands-on technologists with 10+ years of extensive software engineering experience. The ideal candidate is an excellent communicator and has experience working with both technical and non-technical colleagues in a cross-functional environment. The ideal candidate also has experience pitching and explaining technical architecture and strategy to both technical and non-technical audiences. Additionally, you should bring: Experience with scalable architecture whilst leading and inspiring software development teams Hands-on development and delivery experience with a broad mix of languages and technologies Real passion for solving customer friction through simple and effective software Strong people skills that contribute to an open and collaborative environment Experience working with Agile and Lean approaches such as Continuous Integration and Delivery, TDD, and Rapid Prototyping Experience communicating technical vision to a variety of team members Ability to embrace and reduce uncertainty through continual validated learning Practical experience with refactoring, design patterns, design driven development, system and application design, and application security Experience with small teams that move fast We're also hoping you'll be able to show us experience with some of the following. You don't need deep experience with everything here to apply; still, some depth in one or more of these will go a long way: How to work with structured and unstructured data Multiple programming languages and frameworks with in-depth skills in at least one of the following: JavaScript, NodeJS, React, Python, Go, .NET Designing and deploying applications on cloud native infrastructure with providers such as AWS, Azure, or Google using patterns such as serverless or managed services Container technologies such as Docker and Kubernetes and microservices Infrastructure as Code such as AWS CloudFormation and Terraform Ideally some familiarity with CX and HTML5/CSS3 Search technologies such as Elastic / ELK or LucidWorks Authentication/Authorization APIs such as OKTA What we offer you: An opportunity to play a key role in the design, development and commercialization of software and hardware products aimed at disrupting B2B and B2C markets across a wide range of business domains. Help our clients across a variety of industries think deeply about their engineering and technical strategy ranging from organizational transformation to product re-engineering The opportunity to work within a deeply accomplished team with direct exposure to some of the world's most influential organizations. A structured career development program with both technical and leadership tracks. A competitive salary and benefits complemented with a flexible learning & development budget (including attending conferences), enabling you to choose the right path for your own development. A level of autonomy and self-management that you won't typically find at other companies. ____ OUR VALUES & CULTURE We're serious about making OW Performance Transformation a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 “Best Companies to Work For”, and you get a rewarding combination of challenge, support and recognition. Progressive employment Flat organizational structures, resolute I&D values and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. We are committed to providing our people with growth opportunities via professional training, personal development, and diverse roles and responsibilities. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at **************************************************************** And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ About Oliver Wyman Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit ******************** Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $240,000-$260,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Company:Marsh McLennan AgencyDescription: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: • 10+ or more years of experience in Information Technology. • 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy • 5 to 7 years of experience in Cloud database technologies. • 7 to 10 years of experience as a data architect • Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table • Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise • Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores • Proficiency in the design of batch and streaming data ingestion • Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs • Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data • Designing and maintaining the data models, including conceptual, logical, and physical data models • Experience with SOA data layer utilizing data access frameworks and exposing data via web services • Experience with Business Intelligence and data mart architecture • Experience creating a data architecture vision between lines of business and IT • Demonstrated competency in communicating the value of data architecture to stakeholders and senior management • Experience in SDLC processes, database patterns, and development frameworks • Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations • Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance • Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies • Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication • Knowledge of Informatica - IICS task flows development and maintenance • Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database • Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM • Experience with data integration services such as Azure Data Factory • Experience with business intelligence tools; Power BI or Qlik is preferred • Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: • Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point • Microsoft Azure Data Engineer or other cloud certifications • Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: • Generous time off, including personal and volunteering • Tuition reimbursement and professional development opportunities • Remote work • Charitable contribution match programs • Stock purchase opportunities To learn more about a career at MMA, check us out online: *************************** or flip through our recruiting brochure: ********************** Follow us on social media to meet our colleagues and see what makes us tick: · ************************************ · ********************************** · ******************************************************* Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $115,800 to $202,700.The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.Applications will be accepted until:December 29, 2025

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia's AI & Data Business Unit is the powerhouse of our firm's innovation-merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia's AI & Data team, you'll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description Sia Partners is looking for a talented Data Scientist to support our activities within the Data Science Business Unit. You will be working alongside our Data Science consultants and our clients on Data Science topics, including data acquisition and exploration, creating relevant data models and presenting results to stakeholders. You will also contribute to internal Data Science projects hosted on Heka, our internal accelerator for Data Science projects. As part of the global Data Science team you will contribute to the development of various solutions designed to address our clients' needs. Key Responsibilities Partner with our client's leadership teams, engineers, program managers and data analysts to understand data needs. Identify, acquire, process and explore relevant data sources. Analyze large amounts of structured and unstructured information to discover trends and patterns. Use your data analytics and science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms. Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more. Propose solutions and strategies to business challenges. Collaborate with engineering and product development teams. Broad range of partners equates to a broad range of projects and deliverables, including Models, algorithms, datasets, measurements, services, tools and process. Qualifications 1+ years' experience as a Data Scientist or Data Analyst Experience with building models, machine-learning, NLP 1+ years' experience in R, SQL and Python 1+ years' experience with data visualization tools (e.g. Tableau, PowerBi, R Shiny) Problem-solving aptitude and business acumen Excellent communication and presentation skills BSc/BA in Data Science, Computer Science, Engineering Preferred experience: Experience with more than one coding language. Experience in data mining Good understanding of Machine Learning techniques Good understanding of statistical techniques and concepts Experience with data visualization tools Experience with Object Oriented Programming Additional Information Compensation & Benefits Salary + Annual Discretionary Bonus Healthcare coverage that includes 3 medical plan options: Anthem - EPO HSA, EPO HSA MERP, and PPO; dental and vision through MetLife; and life insurance policies through Mutual of Omaha Flexible Spending Account (FSA) Paid Time Off Parental leave paid at 100% of base pay for all new parents 9 Company Holidays + 1 Floating Holiday 401(k) Plan - 4% matching and vested on day 1 College save-up plan & college loan repayment plan Monthly cell phone stipend Pre-tax account for Parking and Mass Transit Sia provides several wellness and incentive programs free of charge through the firm medical plan - Anthem - such as: Gym Reimbursement LiveHealth Online Well-being Coach Building Healthy Families Program And much more New York compensation for this role is between $94,000 and $114,000 per year. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, and market location Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations-New York City, Charlotte, Seattle, and San Francisco-are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Company:Oliver WymanDescription: Principal Engineer ____ WHO WE ARE Oliver Wyman Performance Transformation is a ground-breaking division within Oliver Wyman delivering world-class solutions to give our clients a competitive edge. We work across the full technology stack from databases and analytics to APIs and web and mobile applications. With a mixture of over 700 consultants, specialists and support professionals in 16 major cities across the world, we're committed to growth that retains our start-up agility while expanding our opportunities for world-class work. Oliver Wyman is a global leader in management consulting. With a staff of over 4000 across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. ____ THE ROLE AND RESPONSIBILITIES No two OW Performance Transformation projects are the same . You'll be working with hugely varied and diverse teams to deliver unique and unprecedented strategy and product delivery across industries. The Principal Engineer at Oliver Wyman Performance Transformation is crucial to defining, designing, and delivering solutions that achieve breakthrough impact for our clients - all enabled by best-in-class DevSecOps model, Agile practices, architecture and tech stack. As a Principal Engineer, you will work alongside Oliver Wyman partners in Performance Transformation and other practice groups, engage directly with clients to understand their business challenges, and craft optimal solutions to be delivered by OW Performance Transformation specialists and consultants delivering strategy, or products into production. You will own all technology and engineering responsibilities for a cross-functional team covering technology, data science, customer experience and design. When you are a product builder, you will be hands-on defining the architecture, tech stack, leading the engineering team while working with the product owner and designer. You will be instrumental in helping to validate build feasibility, operating costs, handle risk as well as key aspects of security, performance, resiliency, and scalability. Cost benefit and trade-off analysis will be key as you work with the team to build something amazing. You will collocate with the team regularly or occasionally, working remotely at other times. We're also hoping you'll be able to bring us experience with at least one of the following: Financial services and/or capital markets Health and life sciences domain Insurance (individual or group) Consumer, retail, energy, or transportation domain ____ YOUR EXPERIENCE We believe in and practice servant leadership here, so your primary goal is to bring the best out of the other talented technologists on the team, not to do it all yourself. What you'll get to do: Provide hands-on technical leadership, training and mentoring staff Develop DevSecOps, CI/CD, release engineering strategies applying DORA, SPACE, and other industry leading metrics advocating developer productivity and product stability Lead change management initiatives, helping our clients navigate and embrace new ways of working Help to improve the OW Performance Transformation Architecture and Engineering specialty Design and architect innovative, modern cloud-native digital experiences that are scalable, resilient, and secure Communicate complex technical concepts clearly to both technical and non-technical stakeholders Write code alongside your development team Work with state-of-the-art technologies to solve genuine, real-world problems Champion good agile practices that provide a foundation for iterative product development Build strong relationships with product managers, designers, customer experience and human insights experts Enjoy working in a diverse, dynamic, collaborative, transparent, environment where everyone's ideas and opinions are equally valued Cross-pollinate good practices and insights between projects and groups within the firm Travel 10 - 25% of the time to collaborate with distributed teams or clients as needed What you'll bring: For the Principal Engineer role, we are looking for senior hands-on technologists with 10+ years of extensive software engineering experience. The ideal candidate is an excellent communicator and has experience working with both technical and non-technical colleagues in a cross-functional environment. The ideal candidate also has experience pitching and explaining technical architecture and strategy to both technical and non-technical audiences. Additionally, you should bring: Experience with scalable architecture whilst leading and inspiring software development teams Hands-on development and delivery experience with a broad mix of languages and technologies Real passion for solving customer friction through simple and effective software Strong people skills that contribute to an open and collaborative environment Experience working with Agile and Lean approaches such as Continuous Integration and Delivery, TDD, and Rapid Prototyping Experience communicating technical vision to a variety of team members Ability to embrace and reduce uncertainty through continual validated learning Practical experience with refactoring, design patterns, design driven development, system and application design, and application security Experience with small teams that move fast We're also hoping you'll be able to show us experience with some of the following. You don't need deep experience with everything here to apply; still, some depth in one or more of these will go a long way: How to work with structured and unstructured data Multiple programming languages and frameworks with in-depth skills in at least one of the following: JavaScript, NodeJS, React, Python, Go, .NET Designing and deploying applications on cloud native infrastructure with providers such as AWS, Azure, or Google using patterns such as serverless or managed services Container technologies such as Docker and Kubernetes and microservices Infrastructure as Code such as AWS CloudFormation and Terraform Ideally some familiarity with CX and HTML5/CSS3 Search technologies such as Elastic / ELK or LucidWorks Authentication/Authorization APIs such as OKTA What we offer you: An opportunity to play a key role in the design, development and commercialization of software and hardware products aimed at disrupting B2B and B2C markets across a wide range of business domains. Help our clients across a variety of industries think deeply about their engineering and technical strategy ranging from organizational transformation to product re-engineering The opportunity to work within a deeply accomplished team with direct exposure to some of the world's most influential organizations. A structured career development program with both technical and leadership tracks. A competitive salary and benefits complemented with a flexible learning & development budget (including attending conferences), enabling you to choose the right path for your own development. A level of autonomy and self-management that you won't typically find at other companies. ____ OUR VALUES & CULTURE We're serious about making OW Performance Transformation a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 “Best Companies to Work For”, and you get a rewarding combination of challenge, support and recognition. Progressive employment Flat organizational structures, resolute I&D values and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. We are committed to providing our people with growth opportunities via professional training, personal development, and diverse roles and responsibilities. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at **************************************************************** And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ About Oliver Wyman Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit ******************** Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $240,000-$260,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Good things are happening at Berkshire Hathaway GUARD Insurance Companies. We provide Property & Casualty insurance products and services through a nationwide network of independent agents and brokers. Our companies are all rated A+ “Superior” by AM Best (the leading independent insurance rating organization) and ultimately owned by Warren Buffett's Berkshire Hathaway group - one of the financially strongest organizations in the world! Headquartered in Wilkes-Barre, PA, we employ over 1,000 individuals (and growing) and have offices across the country. Our vision is to be a leading small business insurance provider nationwide. Founded upon an exceptional culture and led by a collaborative and inclusive management team, our company's success is grounded in our core values: accountability, service, integrity, empowerment, and diversity. We are always in search of talented individuals to join our team and embark on an exciting career path! Benefits: We are an equal opportunity employer that strives to maintain a work environment that is welcoming and enriching for all. You'll be surprised by all we have to offer! Competitive compensation Healthcare benefits package that begins on first day of employment 401K retirement plan with company match Enjoy generous paid time off to support your work-life balance plus 9 ½ paid holidays Up to 6 weeks of parental and bonding leave Hybrid work schedule (3 days in the office, 2 days from home) Longevity awards (every 5 years of employment, receive a generous monetary award to be used toward a vacation) Tuition reimbursement after 6 months of employment Numerous opportunities for continued training and career advancement And much more! Responsibilities We are hiring a hands-on Data Engineer to build trustworthy, well governed data products and turn them into insights that drive underwriting, claims, product, distribution, and operations for the organization. You will collaborate directly with business leaders to translate questions into curated datasets, intuitive Power BI models, analytic insights and clear narratives that influence decisions. You'll context switch comfortably between data & analytic engineering and meeting with business stakeholders to understand their processes and needs. Key Responsibilities: Collaborate closely with cross-functional teams; including Underwriting, Product, Claims, Finance, and Distribution/Operations- to transform business questions into clearly documented requirements and actionable data solutions. Model and publish curated, analysis ready datasets, semantic models in Power BI or analytics delivery that illuminate small commercial metrics. Continuously learn and expand business knowledge to proactively produce automated analytic solutions to business challenges. Design, develop, and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric; Follow platform standards, optimize for performance, reliability, and cost. Follow and implement documentation standards, governance and data quality controls across datasets. Use Azure DevOps (ADO) for CI/CD and version control (branching, pull requests, release pipelines) to harden delivery and improve repeatability. Document technical architecture and workflows with clear diagrams and runbooks to accelerate onboarding and reduce operational risk. Qualifications Qualifications: Bachelor's degree in computer science, information technology, or a related field. 2-3 years of experience in data engineering or a related role. Proficiency in Microsoft Fabric is a plus. Exposure to Azure DevOps (ADO) and CI/CD practices. Strong SQL, Python and data modeling skills. Experience with cloud platforms, preferably Azure. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Skills: Experience with big data technologies such as Hadoop, Spark, or Databricks. Knowledge of data warehousing concepts and tools. Familiarity with programming languages such as Python or Scala. Understanding of data security and compliance requirements. *Applicants must be authorized to work in the U.S. without current or future sponsorship* Salary Range: $65,000 - $125,000 The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required. The annual base salary range posted represents a broad range of salaries around the U.S. and is subject to many factors including but not limited to credentials, education, experience, geographic location, job responsibilities, performance, skills and/or training.

Department: ANALYTICS AND REPORTING Job Type: Regular Employment Type: Full-Time Salary Range: $125,000.00 - $135,000.00 Empower. Unite. Care. MetroPlusHealth is committed to empowering New Yorkers by uniting communities through care. We believe that Health care is a right, not a privilege. If you have compassion and a collaborative spirit, work with us. You can come to work being proud of what you do every day. About NYC Health + Hospitals MetroPlusHealth provides the highest quality healthcare services to residents of Bronx, Brooklyn, Manhattan, Queens and Staten Island through a comprehensive list of products, including, but not limited to, New York State Medicaid Managed Care, Medicare, Child Health Plus, Exchange, Partnership in Care, MetroPlus Gold, Essential Plan, etc. As a wholly-owned subsidiary of NYC Health + Hospitals, the largest public health system in the United States, MetroPlusHealth's network includes over 27,000 primary care providers, specialists and participating clinics. For more than 40 years, MetroPlusHealth has been committed to building strong relationships with its members and providers. Position Overview The position of Data Engineer in the Analytics and Reporting Department is responsible in managing encounter data submission to NYSDOH, CMS and other regulatory entities as required. The responsibility includes troubleshooting EDI mapping issues, Encounter data reporting errors, monitoring Encounter Data Quality reports, ensuring adherence to EDI standards, writing complex SQL Queries and stored procedures, SSIS jobs for EDI file submission, and troubleshooting EDI error records. Additionally, this role is responsible for developing and maintaining EDI documentation including process flow and cross-functional team collaboration regarding identification of EDI problem areas. Lastly, the Data Engineer is responsible for preparing test data, conditions and expected results to verify new EDI updates and logic. The successful candidate must have strong SQL programming skills, EDI Analytical skills, communication skills, and healthcare experience with knowledge in membership, provider, and claims data. Work Shifts 9:00 A.M - 5:00 P.M Duties & Responsibilities * Monitor and submit Encounter Data files to NYSDOH OSDS and CMS. * Collaborate with vendors/end users on correcting EDI error transactions and resubmissions to NYSDOH and CMS. * Automate manual processes for Encounter Data submissions. * Support the Compliance and Regulatory department for any inquiry on Encounter Data processes. * Support MMCOR reporting * Create KPI reports on Encounter Data reporting. * Create SQL stored procedures and flow diagrams and document the process for Encounter Data Reporting. * Troubleshoot EDI Errors and keep track of all the resubmissions. Minimum Qualifications * Bachelor's degree in Information Systems, Computer Science, Database Management, or related field. * Minimum 5 years of programming experience in SQL Server database object development including but not limited to stored procedures, functions, views, SSIS and SSRS, X12 EDI mapping and development, and troubleshooting EDI errors. * Minimum 3 years' experience in complex healthcare data like Claims and Enrollment. * Working knowledge of EDI X12 Standards * Previous experience in BI reporting tools, such as BusinessObjects, Tableau, or Power BI * Knowledge of Visual Studio, .Net Development, XML, BizTalk * Integrity and Trust * Collaboration and Time management skills * Functional/Technical skills * Written/Oral Communication * Ability to work effectively in a team environment and adapt to different projects and assignments quickly. * Excellent analytical and problem-solving skills #MHP50 #LI-Hybrid

Data Modeler - P&C Experience Required About us: Good things are happening at Berkshire Hathaway GUARD Insurance Companies. We provide Property & Casualty insurance products and services through a nationwide network of independent agents and brokers. Our companies are all rated A+ “Superior” by AM Best (the leading independent insurance rating organization) and ultimately owned by Warren Buffett's Berkshire Hathaway group - one of the financially strongest organizations in the world! Headquartered in Wilkes-Barre, PA, we employ over 1,000 individuals (and growing) and have offices across the country. Our vision is to be a leading small business insurance provider nationwide. Founded upon an exceptional culture and led by a collaborative and inclusive management team, our company's success is grounded in our core values: accountability, service, integrity, empowerment, and diversity. We are always in search of talented individuals to join our team and embark on an exciting career path! Benefits: We are an equal opportunity employer that strives to maintain a work environment that is welcoming and enriching for all. You'll be surprised by all we have to offer! Competitive compensation Healthcare benefits package that begins on first day of employment 401K retirement plan with company match Enjoy generous paid time off to support your work-life balance plus 9 ½ paid holidays Up to 6 weeks of parental and bonding leave Hybrid work schedule (3 days in the office, 2 days from home) Longevity awards (every 5 years of employment, receive a generous monetary award to be used toward a vacation) Tuition reimbursement after 6 months of employment Numerous opportunities for continued training and career advancement And much more! Responsibilities Are you passionate about turning business strategy into scalable data solutions? At Berkshire Hathaway GUARD Insurance Companies, we're looking for a Data Modeler with a strong business modeling focus to help shape the future of our data architecture and drive innovation in the property and casualty insurance industry. In this role, you'll work closely with domain owners and data product managers to understand business goals, value hypotheses, and use cases. Your work will directly support the development of effective and efficient data models that power our data products and enable strategic decision-making. Key Responsibilities: Analyze business use cases to understand goals and value drivers. Create conceptual models using Meta Models, Ontologies, and Knowledge Graphs to represent domain structures. Develop logical and physical data models that support KPIs and product requirements. Ensure models meet output needs including SQL endpoints, dashboards, reports, and APIs. Support data cataloging, source-to-target mapping, and data quality rule setup for critical data elements. Optimize cloud databases (e.g., Delta Lake, OneLake) for performance and scalability. Collaborate with governance teams to define global modeling standards and best practices. Work cross-functionally with data engineers, analysts, and other teams to implement and maintain robust data models. Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. At least 6 years of experience in data modeling within the property and casualty insurance industry required Proficiency in SQL, Python, UML, and modern data modeling tools. Hands-on experience with Kimbal Dimensional modeling techniques is required Strong analytical skills and a track record of building scalable, efficient data models. Experience with Agile methodologies and cloud-based data platforms. Familiarity with data modeling concepts, database technologies, and insurance industry data systems. Ability to clearly convey technical concepts to non-technical stakeholders and lead cross-functional collaboration. Strong problem-solving skills and the ability to work in a dynamic, fast-paced environment. *Applicants must be authorized to work in the U.S. without current or future sponsorship* Salary Range $110,000.00 - $160,000.00 USD per year The annual base salary range posted represents a broad range of salaries around the U.S. and is subject to many factors including but not limited to credentials, education, experience, geographic location, job responsibilities, performance, skills and/or training. The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required.

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Job description The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow. As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team: * Cloud Services at GCP, AWS and Azure: architecture choices, use of storage & compute services, cost monitoring and optimisation, role management, Infrastructure as Code * Docker and Kubernetes: containerisation & orchestration of applications, management of K8s clusters adapted to Data Science workloads * Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...) * CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites * Data pipelines: development of ETL scripts in Big Data environments * Infrastructures & Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models. Qualifications * You hold a Master's Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance) * You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering. * You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally no SQL (ideally MongoDB). * Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics. * You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution. * You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform). * You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management) * You have excellent interpersonal and team working skills * Excellent English and Dutch verbal and written skills are required. Additional information Unfortunately, we are unable to provide a work permit for this position Non-Dutch speaker will no be accepted Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today, our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility. We're optimists for change, helping clients initiate, navigate, and benefit from transformation. Optimism is our force multiplier, mitigating downside and maximizing opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results; our optimism transforms outcomes. Job description To support our growth, we are recruiting Senior Consultants specializing in Data Engineering solutions. You will lead client engagements, co-design data engineering solutions through close collaboration with clients, manage stakeholders, and ensure impactful project delivery from strategy through execution. Responsibilities: * Data Architecture & Pipeline Design: Building robust, scalable data pipelines and architectures to enable efficient ingestion, processing, and delivery of large volumes of structured and unstructured data. * Cloud & Distributed Systems: Designing and implementing data solutions leveraging modern cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Kafka). * Database Design & Data Modeling: Developing logical and physical data models and optimizing database solutions for various data types and workloads, including relational, NoSQL, time-series, and graph databases. * Data Integration & Loading Patterns: Implementing best practices for batch, streaming, and real-time data integration, adapting to structured, semi-structured, and unstructured data sources. * CI/CD & DataOps Practices: Enabling continuous integration and deployment of data services and infrastructure, using modern DevOps tooling to ensure reliability, versioning, and automation in data workflows. Within Sia itself you will: * Develop and enhance our Data Engineering offerings through internal training sessions, working groups, and internal/external publications. * Represent Sia at professional events, contributing actively to thought leadership initiatives (articles, white papers, webinars). * Drive business development by crafting compelling proposals, identifying new collaboration opportunities, and fostering long-term client relationships. * Manage client engagements, serving as a trusted advisor and subject matter expert to middle and senior-level management. * Supervise and mentor junior to medior consultants, guiding their professional growth, reviewing deliverables, and facilitating the development of technical and interpersonal skills. Your profile * Analytical thinker with a structured and proactive approach. * Experienced communicator capable of clearly articulating complex technical ideas to varied audiences. * Effective stakeholder manager, comfortable guiding teams through project delivery. * Demonstrated ability to mentor colleagues and facilitate professional development. Qualifications * Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming. * The specific stack that you will work with will depend on the client but, as an indication, we commonly work with Databricks, Snowflake and Azure. * 3-6 years of relevant professional experience (or equivalent academic research). * Strong analytical mindset with systematic problem-solving abilities. * A fast learner who demonstrates strong communication skills, adaptability, and entrepreneurial drive. * Fluency in English, with excellent communication and presentation abilities. Dutch or French fluency is a plus. * Proven interest in Data Engineering, and relevant sectors such as Energy and Finance. What do we offer? * Competitive salary package, including annual salary increase, bonuses, and flexible mobility options (company car or personalized mobility plan). * Tailored training and development opportunities to position you as an expert in your field. * Flexible working arrangements (office, home, client sites) and international project exposure. * Collaborative global environment fostering professional growth and knowledge sharing. Additional information Unfortunately, we are unable to provide a work permit for this position. Sia is an equal opportunity employer. Employment decisions-including hiring, promotion, remuneration, or disciplinary actions-are based solely on performance, competence, conduct, and business needs. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Sia is a next generation management consulting firm and pioneer of Consulting 4.0. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver exceptional value to our clients. With +3000 consultants in 18 countries and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation. Job description The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow. As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team: * Cloud Services at GCP, AWS and Azure: architecture choices, use of storage & compute services, cost monitoring and optimization, role management, Infrastructure as Code * Docker and Kubernetes: containerization & orchestration of applications, management of K8s clusters adapted to Data Science workloads * Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...) * CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites * Data pipelines: development of ETL scripts in Big Data environments * Infrastructures & Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models. Qualifications * You hold a Master's Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance) * You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering. * You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally no SQL (ideally MongoDB). * Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics. * You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution. * You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform). * You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management) * You have excellent interpersonal and team working skills * Excellent English and Dutch verbal and written skills are required. Additional information We are unable to provide a work permit for this position Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Good things are happening at Berkshire Hathaway GUARD Insurance Companies. We provide Property & Casualty insurance products and services through a nationwide network of independent agents and brokers. Our companies are all rated A+ “Superior” by AM Best (the leading independent insurance rating organization) and ultimately owned by Warren Buffett's Berkshire Hathaway group - one of the financially strongest organizations in the world! Headquartered in Wilkes-Barre, PA, we employ over 1,000 individuals (and growing) and have offices across the country. Our vision is to be a leading small business insurance provider nationwide. Founded upon an exceptional culture and led by a collaborative and inclusive management team, our company's success is grounded in our core values: accountability, service, integrity, empowerment, and diversity. We are always in search of talented individuals to join our team and embark on an exciting career path! Benefits: We are an equal opportunity employer that strives to maintain a work environment that is welcoming and enriching for all. You'll be surprised by all we have to offer! Competitive compensation Healthcare benefits package that begins on first day of employment 401K retirement plan with company match Enjoy generous paid time off to support your work-life balance plus 9 ½ paid holidays Up to 6 weeks of parental and bonding leave Hybrid work schedule (3 days in the office, 2 days from home) Longevity awards (every 5 years of employment, receive a generous monetary award to be used toward a vacation) Tuition reimbursement after 6 months of employment Numerous opportunities for continued training and career advancement And much more! Responsibilities The Data Product Architect plays a critical role in our Data and Analytics (DnA) Operating Model, contributing to the development of a Data Marketplace that provides valuable, reusable data products for various business domains within the federated guild. In collaboration with Data Product Managers, this role defines and implements solution architectures for data products that align with business objectives, value hypotheses, and analytical use cases. The Data Product Architect is the custodian of technical assets, including: Detailed design diagrams Data contracts Domain resources (e.g., infrastructure, compute capacity, storage) Additionally, this role administers the CI/CD DevOps process, ensuring seamless deployment and compliance with both domain-specific and platform-wide guardrails. Primary Objectives: Build data products that support descriptive, diagnostic, predictive, and prescriptive analytics. Utilize the DnA Platform's services while allowing custom development within prescribed guardrails. Drive business transformation by helping domains predict and optimize outcomes at scale. Key Responsibilities: Serve as a technical consultant for business owners and SMEs during the pre-data product development phase. Lead the design and implementation of scalable data product architectures. Ensure consistency between functional, service quality, and system management requirements. Represent the data product solution design within the Federated Governance Guild. Follow the DnA target architecture, leveraging and reusing existing patterns to align with core principles. Create, iterate, and maintain technical documentation and data product architecture. Optimize performance, cost-efficiency, and future scalability of data systems. Act as a Microsoft Fabric expert, ensuring scalability, security, and governance of data solutions. Technical Responsibilities: Data Product Canvas Phase Conduct data value chain analysis and assumption management. Define solution requirements and establish high-level designs. Data Product Delivery Phase Develop detailed architectural designs. Manage infrastructure, compute capacity, and storage. Oversee CI/CD pipelines for data ingestion, transformation, and visualization. Serve as an equal stakeholder alongside the Data Product Manager during user acceptance testing. Leadership & Collaboration: Mentor domain data engineers in best practices. Drive data product development and delivery to achieve business goals. Continuously assess data product usage and recommend enhancements. Collaborate with the DnA Platform team to integrate new innovations. Qualifications Minimum Qualifications: Bachelor's or master's degree in computer science, Information Science, or related field. 6 to 8 years of hands-on experience in Data Product Architecture, with expertise in Data Mesh, Marketplace, and Product methodologies. Key Technologies & Tools: Microsoft Azure Microsoft Fabric OneLake/Delta Lake - Optimized storage for structured and unstructured data. Apache Spark - Scalable framework for large-scale data processing. SQL & T-SQL - Essential for data querying and transformations. PySpark & Scala - Critical for big data processing and machine learning workflows. Fabric Notebooks - Python, SQL, and Spark development environment. Data Factory - ETL/ELT tool for data pipeline orchestration. GraphQL API - Efficient querying and data integration across domains. CI/CD Pipelines - Automating data workflows and deployments. Livy API - Used for managing Apache Spark jobs. Monitoring & Logging - Tools to track pipeline performance and health. Fabric Advisor - Optimization tool for performance tuning. Power BI - Advanced analytics and visualization. VS Code Integration - Enables development and debugging of Fabric notebooks. Soft Skills & Leadership: Expertise in Agile software development methodologies. Strong understanding of Data Product Management principles. Ability to identify dependencies and solve complex challenges creatively. Excellent communication and stakeholder management skills. Preferred Qualifications & Required Industry Expertise: Experience in P&C Insurance industry required Microsoft Certified: Fabric Data Engineer Associate certification strong preferred *Applicants must be authorized to work in the U.S. without current or future sponsorship* Salary Range $100,000.00 - $190,000.00 USD per year The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required. The annual base salary range posted represents a broad range of salaries around the U.S. and is subject to many factors including but not limited to credentials, education, experience, geographic location, job responsibilities, performance, skills and/or training.

At EMC, we're all about working together to make an impact. As part of our team, you'll have the opportunity to grow, contribute, and gain experience that matters. We strive to be caring leaders, close partners, and responsive experts-always supporting each other to do our best work. Join us, and let's improve lives together. Location Preference: Ideal candidate will be located in Iowa. Essential Functions: Under general guidance, creates innovative data science solutions Analyzes business partners' needs and gathers structured and/or unstructured data to create a modeling dataset, including cleaning and pre-processing data Designs and builds appropriate solutions (e.g. neural network, predictive model, mapping solution, data analysis, and visualizations) Discovers business insights using statistical analysis, algorithmic processing, data science, machine learning, data mining, and/or reporting visualization techniques as determined through individual analysis of the problem Translates analytical results into business meaning and presents ideas to business areas to address and resolve their problems Guides business partners through business problem identification and discovery, and potential solutions Gathers detailed information regarding specific business issues, needs, business processes impacted, and how the business unit intends to use the tools or solutions developed and translates those to detailed project requirements Develops documentation throughout the entire analytic life cycle of each project Education & Experience: Bachelor's degree in mathematics, statistics, computer science, data science, or related field and two years of experience in data science OR Master's degree in mathematics, statistics, computer science, data science, or related field and one year of experience in data science OR Bachelor's degree in mathematics, statistics, computer science, data science, or related field and Certified Specialist in Predictive Analytics (CSPA) designation and one year of experience in data science Additional education may be used to substitute a portion of the experience requirement Prior experience in property and casualty insurance preferred Knowledge, Skills & Abilities: Strong knowledge of data analysis tools and techniques, such as GLMs, decision trees, GBMs, random forests, boosting, bagging, neural networks, further statistical analysis, machine learning, or deep learning techniques Strong knowledge of programming within R, Python, SQL, Hadoop, and other data visualization tools Strong verbal and written communication skills Ability to translate technical ideas into more general terms for business customers Strong analytical, investigation, and problem-solving abilities The hiring salary range for this position will vary based on geographic location, falling within either of the following: $77,013 - $106,126 or $84,912 - $117,001 A hiring range represents a subset of the full salary range. The actual salary will depend on several factors, including relevant education, skills, and experience of an applicant, geographic location, and business needs. For information relating to the benefits EMC Team Members receive as part of a comprehensive rewards package, please visit *********************** Our employment practices are in accordance with the laws that prohibit discrimination due to race, color, creed, sex, sexual orientation, gender identity, genetic information, religion, age, national origin or ancestry, physical or mental disability, medical condition, veteran status, active military status, citizenship status, marital status or any other consideration made unlawful by federal, state, or local laws. All of our locations are tobacco free including in company vehicles.

Urbandale, IA About Us Integrity is an omnichannel insurtech company innovating insurance with a singular purpose: making insurance simpler and more human, so everyone can plan for the good days ahead! With billions in funding from HGGC, Harvest Partner, SilverLake, we leverage techniques that include predictive modeling, custom dynamic dashboards, next- best-action and behavior triggers, as well as other cutting-edge methods like natural language processing (NLP) to inform decision-making and streamline processes. Integrity has experienced significant growth in the past three years, increasing earnings more than 800%. We are an employee owned company, and are also incredibly proud of our women in leadership, from our C-Suite executives to our managing partners and more (women also make up 63% of our workforce!) We recognize the importance of having equal representation throughout our organization - and that starts at the top! Job Summary The Data Engineer I has development and support responsibility for our business-critical data. In addition, this position is responsible for implementing the established data architecture, relying on experience and good judgement to design solutions that expand our solid foundation. Work directly with our Database Architect and Engineer to design and build an innovative analytics solution that will drive our business. Work with data analysts and teams to ensure high quality in data and to ensure delivery of successful product(s). Use industry leading tools to develop and manage our next generation Data Warehouse. Primary Responsibilities: Perform ETL (Extract, Transform, Load) and develop data pipelines that integrate data sets from source systems and third-party data structures into a consumable and accessible format for analysis and reporting with a mind toward accuracy, scalability, and high performance. Support the Data Warehouse by responding to process failures, data anomalies and performance events by taking appropriate measures to reduce system downtime and eliminate recurrence of problems. Adhere to data security requirements and solutions: ensure that data (both on-premises and in the cloud) is treated as a protected asset. Performs thorough testing of data pipelines and data models to ensure data is accurate and pipelines are resilient and self-healing. Modify existing reports and/or develop new reports by analyzing databases, data sources and data structures, delivering critical reporting to customers both internally and externally. Other duties as assigned. Primary Skills & Requirements: 2-4 years professional experience developing and supporting high performing ETL processes, including data quality and testing processes required. 2-4 years professional experience designing and developing enterprise data solutions and integrations, data warehouse, data modeling (star schema, etc) required. Knowledge of database management and data warehousing required. Strong proficiency in SQL, Azure Data Factory, and other Azure technologies preferred. Knowledge in data standard formats including but not limited to Acord, DTCC, DST, DAZL, etc. a preferred. Knowledge in Business Intelligence tool PowerBI, Tableau, or equivalent a preferred. Familiarity in supporting Wealth platforms including Black Diamond, Pershing, Charles Schwab, Salentica, Nexus a preferred. Bachelor's Degree in analytics, statistics, mathematics, engineering, computer science, information systems, or equivalent combination of education and experience. Benefits Available Medical/Dental/Vision Insurance 401(k) Retirement Plan Paid Holidays PTO Community Service PTO FSA/HSA Life Insurance Short-Term and Long-Term Disability About Integrity Integrity is one of the nation's leading independent distributors of life, health and wealth insurance products. With a strong insurtech focus, we embrace a broad and innovative approach to serving agents and clients alike. Integrity is driven by a singular purpose: to help people protect their life, health and wealth so they can prepare for the good days ahead. Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At Integrity, you can start a new career path at company you'll love, and we'll love you back. We're proud of the work we do and the culture we've built, where we celebrate your hard work and support you daily. Joining us means being part of a hyper-growth company with tons of professional opportunities for you to accelerate your career. Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind. Headquartered in Dallas, Texas, Integrity is committed to meeting Americans wherever they are - in person, over the phone or online. Integrity's employees support hundreds of thousands of independent agents who serve the needs of millions of clients nationwide. For more information, visit Integrity.com. Integrity, LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Integrity, LLC will provide reasonable accommodations for qualified individuals with disabilities.