Role Description We’re looking for a customer-centric Senior AI/Data Engineer to build and scale data systems that drive our “decision intelligence” products. You’ll work at the intersection of data engineering, product development, and AI/ML enablement—designing systems that empower customer-facing data products. This role requires not only deep technical expertise but also a strategic mindset, strong communication skills, and a high sense of ownership over how data supports the business. You will collaborate across teams to ensure data is a true product enabler. WHAT YOU'LL DO: - Engineering & AI Enablement - AI/ML ownership: Build trusted AI/ML predictions and forecasts via feature pipelines, model input/output data flows, and robust data validation frameworks. - Pipeline Design: Design and implement reliable, scalable, and secure data pipelines that serve analytical and product use cases. - Leadership: Provide technical leadership and mentorship to other data engineers and cross-functional collaborators, fostering a culture of engineering excellence. - Ecosystem Ownership & Strategy - Architecture & Evolution: Own the architecture and evolution of our data platform, ensuring it meets the performance, scalability, and agility needs of our growing business. - Governance & Observability: Implement data governance, quality, and observability best practices to ensure trustworthy insights, proactively managing data health before it impacts the business. - Infrastructure Optimization: Optimize cloud data infrastructure for cost, performance, and maintainability, treating the platform as a product rather than just a utility. - Collaboration & Translation - Cross-Functional Partnership: Collaborate closely with product managers, engineers, and customer stakeholders to understand context and needs, and help translate them into engineering solutions. - Customer-Centricity: Ensure engineering efforts are aligned with delivering clear business value and enhancing the customer experience. WHO YOU ARE: - The ML Enabler: You are a Data Engineer who loves the complexity of AI. You understand that a model is only as good as the pipeline feeding it, and you take pride in building the infrastructure that brings AI to life. - The Product-Minded Architect: You don’t just move data from A to B; you build systems with the end-user in mind. You prioritize "Time to Insight" and usability as much as you prioritize code efficiency. - The Strategic Owner: You are comfortable working in an environment where you are expected to identify problems and fix them without waiting for a ticket. You view the data ecosystem as your product. Qualifications - 5+ years of experience in data engineering, with 1–2+ years in a senior or lead capacity. - Deep understanding of ML models and can articulate the trade-offs between different architectures (e.g., complexity vs. inference speed, accuracy vs. interpretability). - "Ninja-level" proficiency in Python for complex data structures and automation, alongside strong SQL expertise. - Strong familiarity with Scikit-Learn and similar libraries, with specific experience building and maintaining associated feature engineering pipelines. - High proficiency in MLOps practices and orchestration tools (e.g., Airflow, dbt, Dagster). - Solid experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift, or Databricks). - Strong understanding of data modeling, performance optimization, and cloud computing (AWS, GCP, or Azure). - Excellent communication and collaboration skills, with a proven ability to work effectively across technical and non-technical teams. Benefits - Robust benefits package, including health and dental and 401k with company match. - Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays. - Tuition reimbursement. - Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365, plus financial counseling, legal guidance, adoption assistance services, and much more! - 24/7 access to virtual medical care with Teladoc. - Quarterly awards based on peer nominations. - Regional discounts and perks. - Opportunities to participate in charitable events and give back to the community. Company Description - We know that there are benefits of being in the office and working from home. WorkWave promotes a healthy work/life balance and provides employees with the flexibility of collaborating in the office or the option to work virtually if desired. - We have employees in over 30 states, 7 countries and many regional offices - each with their own set of perks and opportunities to give back to the local community. - Whether you work remotely or take advantage of one of our offices, you’ll find a community of WorkWavers that value diversity, and care deeply about our products, clients, our communities and each other.

Description About the Role: We are seeking a Leader for People Analytics Journeys & COE Consulting to lead a team of embedded insights partners supporting GM's HR Centers of Excellence and priority employee journeys. This leader will shape how people analytics consulting and journey-based insights inform talent strategies, program design, and decision-making across domains such as Talent Acquisition, Talent Management, Learning, Rewards, Services and Corporate Citizenship. If you thrive at the intersection of analytics, consulting, and HR transformation-and enjoy turning complex questions into clear, actionable insights for senior stakeholders, this role offers the opportunity for meaningful enterprise impact. Why This Role Matters: This role sits at the center of how GM's HR COEs and key journeys access and apply people insights. By leading the Journeys & COE Consulting team, you will move analytics from one-off requests to integrated, journey-centric consulting that guides how we hire, develop, move, reward, and support our people-ultimately strengthening both employee experience and business outcomes. What You'll Do: - Lead the Journeys & COE Consulting Portfolio Set the strategy and operating rhythm for a team of people analytics consultants embedded to HR COEs and critical employee journeys, aligning the work with the broader HR Strategy & Enablement mission and People Analytics organization, and focusing on the highest-value talent, organizational health, and transformation questions. - Deliver Strategic Consulting & Insights Oversee high-impact consulting engagements that apply people data to topics such as hiring, internal mobility, retention, capability building, and workforce health-translating analytics into clear recommendations for senior HR and business leaders. - Enable COEs in the Shift to Journey -Centric Insights Partner with COE leaders to support and enable their shift toward end-to-end journeys and "moments that matter," co-defining the metrics, signals, and insight products that guide design, investment, and continuous improvement. - Connect Journeys with the Integrated People Analytics Team Operating Model Work closely with Employee Voice, Reporting & Data Enablement, Data Science, and Workforce Planning leaders to ensure consulting questions are supported by the right data foundations, products, and research. - Strengthen Ways of Working & Governance Help define engagement standards, intake and prioritization criteria, success measures, and consulting toolkits so the Journeys & COE Consulting team operates consistently and transparently across stakeholders. - Influence, Enable, and Build Data Literacy Build trusted relationships with executives and HR leaders, increase comfort using people analytics in decisions, and coach partners on framing the right questions, interpreting insights, and acting on recommendations. What We're Looking For: Experience - 12+ years in People Analytics, HR analytics, workforce planning, or related consulting/strategy roles , with significant experience in client-facing analytics consulting. - 5+ years leading teams or cross-functional initiatives in analytics, consulting, or HR strategy, ideally in complex, global environments. - Proven track record leading high-impact consulting engagements that influenced talent strategy, organizational effectiveness, or large-scale HR programs. Expertise - Deep understanding of the HR lifecycle and journeys (e.g., talent acquisition, development, mobility, rewards, engagement, exits) and how analytics supports decisions along those journeys. - Strong familiarity with analytics operating models (consulting, COE partnering, enablement/platform) and how to work within an integrated People Analytics "triad" structure. - Applied experience using HR data and analytics (and, ideally, tools such as Visier, Workday, and BI platforms) to inform executive decisions; hands-on tools expertise is a plus but not required. Skills - Exceptional consulting, problem-solving, and storytelling skills-able to turn ambiguous questions into structured approaches and decision-ready narratives. - Comfort working with senior and executive stakeholders , balancing strategic thinking with pragmatic recommendations and clear trade-offs. - Strong enterprise and systems thinking , with the ability to connect local COE needs to enterprise standards, data foundations, and common patterns. - Demonstrated change leadership , curiosity, and a continuous-improvement mindset. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. - The salary range for this role is $192,700 - $294,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

• Desenvolver os modelos com dbt/SQL da plataforma de dados do Asaas; • Promover e sustentar a transformação eficiente e segura dos nossos ativos de dados; • Garantir governança, qualidade, documentação, escalabilidade e impacto dos dados no negócio; • Promover a conscientização sobre o consumo eficiente e seguro de dados; • Garantir o desenvolvimento e sustentação de ativos de dados; • Monitorar a performance e o resultado do pipeline de dados.

Title: Data Engineer - AI Semantic Analytics Location: US - United States of America time type Full time job requisition id JR0026544 Job Description: It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you&rsquo;re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business&mdash;and the world. A Little About Us: The Yahoo Consumer Data Team manages a petabyte-scale data ecosystem that powers insights across Yahoo&rsquo;s media products and drives improvements to user engagement and experience. We partner across multiple organizations at Yahoo to translate data into meaningful product impact. Our team is evolving how data is accessed and consumed by moving toward semantic analytics and natural language-driven insights that enable faster, more intuitive decision-making. Your work will directly influence product strategy and help modernize how teams interact with data at scale. Along the way, you&rsquo;ll collaborate with talented engineers and analysts while contributing to innovation at one of the internet&rsquo;s pioneering companies. Summary: We are seeking an entry-level Data Engineer with a strong interest in semantic analytics, AI-assisted querying, and natural language interfaces over large-scale data systems. This role will begin as a customer-facing analytics position, where you will work directly with internal stakeholders to translate business questions into structured data insights using semantic layers and natural language query frameworks built on top of BigQuery or MCP services. As you grow in the role, you will transition into more backend-focused responsibilities, helping design and optimize the semantic layer, query orchestration services, and data infrastructure that power these experiences. The ideal candidate is curious about AI-driven analytics workflows, enjoys working closely with business partners, and is eager to build modern data access systems that bridge natural language and large-scale data platforms. Responsibilities: - Partner directly with internal stakeholders to gather analytical requirements and translate business questions into actionable data insights. - Leverage semantic analytics frameworks and MCP services to enable natural language queries against BigQuery datasets. - Develop, test, and optimize SQL queries and semantic models that support scalable and reliable analytics workflows. - Contribute to the design and refinement of metadata layers, data dictionaries, and query abstractions to improve usability and consistency. - Support the development of AI-assisted analytics workflows that integrate tools such as Claude, Copilot, Cursor, or similar coding assistants. - Monitor data accuracy, performance, and reliability across analytics pipelines and query services. - Collaborate with data engineers and platform teams to improve backend systems powering semantic query services. - Assist in automating reporting and insight generation using modern BI and AI-enhanced tools. - Troubleshoot query performance issues and improve cost efficiency within BigQuery environments. - Stay current on best practices in AI-driven analytics, semantic data modeling, and cloud data infrastructure. Qualifications: - BS in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). - Strong interest in AI-driven analytics, semantic data layers, and modern data access patterns. - Familiarity with SQL and cloud data warehouses such as BigQuery (or equivalent platforms like Snowflake/Redshift). - Understanding of data modeling principles and structured analytics workflows. - Exposure to AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar is highly desirable. - Strong analytical thinking and problem-solving skills. - Comfortable in a customer-facing or stakeholder-facing role with clear communication skills. - Curiosity and willingness to grow from analytics support into backend data engineering work. The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoopolicies;exercising sound judgment;working effectively, safely and inclusively with others;exhibiting trustworthinessandmeeting expectations;and safeguarding business operations and brand integrity. At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don&rsquo;t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You&rsquo;ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter! Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome. The compensation for this position ranges from $76,500.00 - $159,375.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more. Currently work for Yahoo? Please apply on our internal career site.