Data engineer jobs in Redmond, WA - 3,475 jobs

A leading technology company in Seattle is seeking a Senior Software Engineer for its Clickstream Data team. In this role, you will design and operate large-scale distributed systems, building production-grade applications that utilize clickstream data effectively. The ideal candidate should have over 8 years of experience in software engineering, proficient in Scala or Java, and possess strong skills in distributed data systems like Spark and Kafka. Competitive compensation and comprehensive benefits are offered, including potential stock options. #J-18808-Ljbffr

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands‑on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative‑building are integral to the success of this role. Responsibilities Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross‑validate model results Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc.) Support long‑term MMM (et al.) automation, productionalization and scale with support from data engineering and product Build out front‑end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices Coursework or direct experience in applied econometric modeling, ideally in support of measuring marketing efficiency and optimizing spend, flighting and mix to maximize return on ad spend (i.e., MMM) Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy Exposure to / familiarity with BI/data concepts and experience building out self‑service marketing data solutions Strong coding experience in one or more data programming languages like Python/R Ability to draw insights and conclusions from data to inform model development and business decisions Experience in SQL Preferred Qualifications Master's degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

Location: New York, New York, United States / Santa Monica, California, United States / Glendale, California, United States / Seattle, Washington, United States Business: Disney Direct to Consumer Job Summary: Marketing science - a sub‑team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands‑on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative‑building are integral to the success of this role. Responsibilities Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross‑validate model results Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc.) Support long‑term MMM (et.al.) automation, productionalization and scale with support from data engineering and product Build out front‑end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices Coursework or direct experience in applied econometric modeling, ideally in support of measuring marketing efficiency and optimizing spend, flighting and mix to maximize return on ad spend (i.e., MMM) Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy Exposure to / familiarity with BI/data concepts and experience building out self‑service marketing data solutions Strong coding experience in one (or more) data programming languages like Python/R Ability to draw insights and conclusions from data to inform model development and business decisions Experience in SQL Preferred Qualifications Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best‑in‑class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world‑class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Disability Accommodation For Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

A digital banking institution based in Seattle is seeking a Head of Data Science to spearhead analytics and machine learning efforts. In this role, you will drive the Data Science roadmap to enhance decision-making and business outcomes across key verticals like customer acquisition and fraud prevention. Ideal candidates will have over 8 years of experience in Data Science, deep technical expertise, and a proven track record in financial services. This position offers a competitive salary of $250,000 - $300,000, plus bonuses and equity. #J-18808-Ljbffr

A technology company specializing in agricultural solutions is seeking a Senior Engineer to tackle complex challenges in distributed systems and horticultural science. You will design and optimize a core data processing engine, ensure data integrity, and drive technical innovation. Ideal candidates will have over 5 years of software engineering experience and deep knowledge of Python and PostgreSQL, among other key skills. Join us to make a real impact in sustainable agriculture. #J-18808-Ljbffr

A growing technology company in Seattle is seeking an experienced data engineer to drive impactful projects and build scalable data infrastructure. The ideal candidate will have over 6 years of experience in data and software engineering, with expertise in AWS. Responsibilities include leading team initiatives and developing key data applications and ingestion systems. This role offers a competitive salary range between $156,000 and $273,000 annually, aligning with the company's commitment to a collaborative work environment. #J-18808-Ljbffr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the job you're considering We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights. Your Role Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment. Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation. Develop generative and predictive AI models (including NLP, computer vision, etc.). Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions. Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions. Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency. Deploy AI models into production environments, ensuring scalability, performance, and optimization. Monitor and troubleshoot deployed models and pipelines for optimal performance. Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses). Required Qualifications: Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. Experience in model deployment, MLOps, model monitoring, and managing data/model drift. Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Bachelor's or greater degree in Machine Learning, AI, or equivalent professional experience. Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. Experience in model deployment, MLOps, model monitoring, and managing data/model drift. Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Ca Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Ca Life and disability insurance Employee assistance pro Other benefits as provided by local policy and eligib

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Data Engineer - Sr Consultant is a senior technical contributor responsible for designing, optimizing, and scaling key components of Visa's data platforms across Hadoop and cloud environments. This role delivers high-impact data solutions, drives advanced engineering best practices, and leads technical design for complex initiatives. Sr Consultant Engineers act as domain experts, partnering across teams to elevate data architecture, improve reliability, and guide the technical growth of the broader engineering organization. Responsibilities: Architect and implement large-scale data pipelines, ingestion frameworks, and processing systems that support analytics, real-time insights, and enterprise workloads. Lead the design and development of scalable data models, lakehouse structures, and distributed compute solutions across Hadoop and cloud platforms. Provide deep technical guidance during design reviews, code reviews, and architectural discussions, influencing engineering decisions within assigned domains. Build automation frameworks, reusable components, and self-service tooling that improve platform efficiency and reduce operational overhead. Drive platform improvements in data quality, observability, governance, reliability, and performance. Lead multi-team technical projects, collaborating closely with engineering, analytics, and product partners to deliver high-impact data solutions. Evaluate emerging tools and technologies, recommending enhancements that strengthen scalability and data engineering productivity. Mentor Senior and Mid-level Engineers, fostering technical growth and reinforcing engineering best practices. Support strategic initiatives such as cloud migrations, pipeline optimization, data lake/lakehouse modernization, and platform tuning. This is a hybrid position.Expectationofdays intheoffice will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Strong expertise in distributed data processing using Hadoop,Apache Spark, and modern data lake/lakehouse architectures. Advanced programming proficiency in PySpark, Scala, and Python, with experience building production-grade data applications. Deep knowledge of SQL, distributed query engines (Presto, Trino, Hive, SparkSQL), and database performance optimization. Hands-on experience designing and managingrelational databases,NoSQL systems, and scalable storage solutions. Proficiency indata modeling, ETL/ELT patterns, and data warehousing design. Strong experience with AWS, GCP, and Azurefor cloud-based data architectures, including data lakes, orchestration tools, and distributed compute. Advanced proficiency with Databricks, including: Notebook and job optimization Delta Lake design and tuning Cluster and workspace management CI/CD integration for data workloads Performance tuning for distributed processing Ability to lead technical efforts across teams, troubleshoot complex issues, and deliver scalable, resilient data solutions. Strong communication and collaboration skills to work effectively with product, analytics, and engineering partners. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this positionis $152,200 to $243,700 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

A leading social media platform in Palo Alto is seeking a Machine Learning Engineer/Economist to enhance the efficiency of its marketplace. The ideal candidate should possess a degree in a relevant field and have experience in data analysis and machine learning. This role involves building statistical models and driving cross-functional collaboration. A competitive salary range from $177,309 to $310,291 is offered, along with potential equity benefits. #J-18808-Ljbffr

The main function of a Software Design Engineer is to develop, implement, and document all testing activities, including test planning, test documentation, test execution, defect tracking and reporting, including follow-up and issue resolution. Skills Required: • Minimum 3 years of experience in C and C++. • Proficient in C, C++, C# and scripting • Experience testing software • Experience writing test documentation such as Test Plans, scripts and test results reports • Ability to analyze/interpret test results and provide recommendations to improve testing.

About the Team Join the engineering teams that bring OpenAI's ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We're seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you'll join a nimble team driving the deployment of OpenAI's technology into new environments and infrastructure that power critical missions in the public sector. You'll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You'll also partner directly with customers to design and build new products and features that create real-world impact. From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth-giving you the opportunity to shape the future of OpenAI's technology where it matters most. This role is based in Washington D.C., San Francisco, CA or Seattle, WA. Occasional travel to customer sites is required for this role. In this role, you will: Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers. Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments. Talk to users to understand their problems and design solutions to address them Work with the research team to get relevant feedback and iterate on their latest models, developing solutions specific for public sector customers at both the model & data layers. Collaborate with a cross‑functional team of engineers, researchers, product managers, designers, and operations folks to create cutting‑edge products Optimize applications for speed and scale You might thrive in this role if you: US Citizen 5+ years of relevant engineering experience at tech and product-driven companies Proficiency with JavaScript, React, and other web technologies Proficiency with some backend language (we use Python) Some experience with underlying infrastructure primitives like Kubernetes and Terraform Interest in AI/ML (direct experience not required) Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines An interest in enabling public sector use cases with unique requirements About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affiantive Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

**Location:**Seattle, WA / Spokane, WA / San Jose, CA F5 Inc. is seeking an accomplished **P****Responsibilities** **Required Skills & Qualifications**Extensive experience and authority in Infrastructure as Code (Terraform/OpenTofu, AWS CloudFormation), with strong architectural acumen. Significant experience architecting on major public cloud providers (AWS, Azure, GCP) Broad and deep knowledge in configuration management: Ansible, Puppet, Chef, SaltStack.Advanced infrastructure security skills with hands-on expertise in tools such as Hashicorp Vault, Semgrep, and integrated CI/CD pipeline security.Experience with artifact management at scale (Artifactory, Docker Registry).Exceptional troubleshooting and debugging skills in cloud, container, and distributed system environments. Outstanding communication, technical writing, and documentation skills for both technical and executive audiences. **Preferred Qualifications** Bachelor's or master's degree in computer science, Engineering, or related technical field, or equivalent experience.10+ years of experience designing, leading, and operating large-scale production systems in DevOps, cloud, or SRE roles. Extensive experience with high-availability, disaster recovery, performance tuning, and cloud cost management.It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.**Remote**: Primarily work from designated home location but can come into an F5 office to work or travel to an offsite location as needed. #J-18808-Ljbffr

We're looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Senior Principal Software Engineer at JPMorgan Chase within Consumer & Community Banking, you will utilize your extensive engineering expertise to collaborate across agile teams, enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will leverage your deep knowledge to consistently challenge the status quo, promote innovation for business impact, and lead the strategic development of new and existing products and technology portfolios. Additionally, you will stay at the forefront of industry trends, best practices, and technological advancements. Job responsibilities Advises cross‑functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies Creates complex and scalable coding frameworks using appropriate software design Develops secure and high‑quality production code, and reviews and debugs code written by others Serves as the function's go‑to subject matter expert Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that improves velocity and quality of output across teams and functions Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 10 swivel years applied experience Strong platform and infrastructure engineering experience, especially experience developing and running large scale multi‑tenant cloud infrastructure and platforms Hands‑on practical experience delivering system design, application development, testing, and operational stability Expert Expertise in one or more programming language(s), e.g. Gol #J-18808-Ljbffr

An international media company is seeking an econometrician for their marketing science team to run marketing mix models and analyses. The role requires strong quantitative skills, a Bachelor's degree in a related field, and at least 3 years of experience in marketing analytics. Responsibilities include building econometric models, quantifying ROI, and providing insights to marketing teams. The position offers competitive compensation, including bonuses and benefits, in the Seattle area. #J-18808-Ljbffr

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision‑making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision‑making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high‑performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross‑functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert‑level proficiency in Python and its scientific computing stack (Pandas, Scikit‑learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real‑world datasets. Data Ecosystem Experience: Hands‑on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast‑paced environment, attract high‑quality talent, and drive a data‑informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US‑based roles based on function, level, and geographic location, benchmarked against similar‑stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all‑digital, mission‑driven, FDIC‑insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer‑first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - ********************************** Instagram - ************************** LinkedIn - ***************************************** Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail ********************* with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: **************************************** #J-18808-Ljbffr

Job Title:Data Gov -Unity Catalog Platform Engineer (Optimize distributed workspaces in Databricks leveraging Unity Catalog.) Hiring Urgency: Immediate Requirement Company: Capgemini Employment Type: Full-Time- Hybrid Summary: Capgemini is urgently seeking a Data Governance to enterprise-level metadata and data access initiatives. The ideal candidate will have deep expertise in Collibra, Databricks, Unity Catalog, and Privacera, and will drive strategic alignment across technical and business teams. This role is open to relocation and offers the opportunity to shape scalable, secure data ecosystems. Your Role Metadata Management & Design and implement enterprise metadata models in Collibra aligned with business goals. Integrate metadata workflows with Unity Catalog and Synaptica for enhanced discoverability. Data Access Governance Implement and govern secure data access using Privacera. Optimize distributed workspaces in Databricks leveraging Unity Catalog. Standards & Best Practices Define standards for efficient use of Databricks environments. Champion metadata governance and utilization across teams. Strategic Leadership Develop transition architecture roadmaps with clear milestones and success metrics. Align cross-functional stakeholders around a unified data discovery vision. Foster collaboration and clarity in complex, ambiguous environments. Innovation & Thought Leadership Promote innovative solutions in ontology, data access, and discovery. Serve as both a strategic leader and hands-on contributor. Your skills and experience: Extensive hands-on experience with Databricks, Collibra, Unity Catalog, and Privacera. Proven success in implementing distributed Databricks workspaces. Strong background in metadata modeling, data architecture, and enterprise-scale data discovery. Familiarity with data governance frameworks and compliance standards. Skills & Technologies: Collibra Data Governance Metadata Management Databricks Unity Catalog Privacera Synaptica Information Technology Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Senior Data Engineer will design, build, and optimize scalable data pipelines, cloud-based data solutions, and advanced analytics frameworks that support Visa's enterprise data ecosystem. This role requires deep technical expertise, cross-functional collaboration, and ownership of endtoend data engineering initiatives. Responsibilities: Design, build, and optimize scalable data pipelines for ingesting and processing structured and unstructured data within the Hadoop data lake and cloud environments. Architect and develop new data pipelines, data models, and analytical frameworks that provide intuitive, actionable insights to internal and external customers. Develop tools, automation, and self-service capabilities that enhance data accessibility and improve analytics efficiency across the organization. Create repeatable, automated data engineering processes that support business users and reduce manual operational efforts. Lead and execute data engineering projects of varying scope and complexity, both independently and as part of a cross-functional team. Partner with engineering, analytics, and product teams in high-visibility roles to deliver robust, end-to-end data solutions. Support the scoping, design, and development of analytic data assets and data products. Maintain and enhance data engineering best practices, governance standards, and scalable architectures across Hadoop and cloud platforms. Participate in R&D initiatives, infrastructure enhancements, and cross-team technology efforts. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa does not offer relocation assistance or immigration sponsorship for this role, now or in the future. Qualifications Basic Qualifications: 2 or moreyears of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Proficient in Hadoop, Spark, PySpark, Scala, and Python for largescale data processing. Strong SQL skills with experience in performance tuning, indexing, and query optimization. Hands-on experience with relational and NoSQL databases, data modeling, and data warehousing. Expertise in writing, optimizing, and tuning SQLfor high performance and efficient data retrieval. Skilled with Presto, Impala, SparkSQL, and Hive for big-data querying. Proficient in Tableau and Power BI for analytics and visualization. Strong experience with Databricks, including notebook/job optimization, Delta Lake, cluster management, CI/CD, and performance tuning. Skilled in AWS, GCP, and Azure for scalable data architectures using cloud-native tools for ingestion, processing, and orchestration. Advanced experience with Apache Sparkfor batch and near-real-time analytics. Experience designing, implementing, and managingrelational (RDBMS)andnon-relational (NoSQL)databases. Proficiency indata modelinganddata warehousingmethodologies supporting BI and analytics workloads. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this positionis $110,700 to $171,800 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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