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We are hiring for a Principal Product Manager (Technical) to drive the evolution of products which provide Amazon business teams and selling partners (marketplace sellers and retail vendors) with comprehensive, accurate, and standardized metrics in a timely manner to enable high quality, high velocity decisions. You will own and be responsible for leading the product development lifecycle for services that support online and offline use cases, cross-domain and historical time-series data. Your will set the strategy for your service to evolve and scale, enabling its customers to meet growing Amazon business needs without becoming a bottleneck. This role has direct impact on thousands of Amazonians and hundreds of thousands of selling partners globally and the tools they use to grow their businesses. To succeed in this role you must be an experienced Principal Product Manager - Technical, who is a passionate advocate for customers. You should have a track record of end-to-end ownership, influencing across multiple teams and at the leadership level, and successfully delivering results in a fast-paced and dynamic business environment. You should always be looking to invent and simplify. You must earn trust with technical credibility and pragmatic decision making, working with a cross-section of senior leaders and technical teams across Amazon. The Principal Product Manager - Technical, will be fluent in a range of strategic and analytical approaches to product and technical leadership, including the ability to build compelling value propositions, influence stakeholders, and provide clarity on complex systems and dynamics via rigorously refined written and verbal communication. A successful candidate will • Work on large, important product initiatives. Define the long-term product strategy and vision to meet emerging customer needs, and the feature design and technical approach to deliver on this vision., • Be highly analytical, resourceful, customer-obsessed and team oriented. Drives alignment and coherent product feature, business, and evangelism strategies., • Drive strategic product communications, owns customer engagement and identify customer requirements by considering data, customer feedback, and user research, and designs product value propositions for large tech and cross-functional audiences., • Be able to manage multiple projects - including planning, prioritization, and task delegation. Work closely with developers through product launch. Key job responsibilities • Define and drive the multi-year vision and technical approach for your product portfolio and the team, • Work with senior technical and business leaders across Amazon Stores, as well as science, engineering, and finance leaders., • Deliver Amazon Business Documents., • Own end-to-end product lifecycle including customer engagement, Amazon Business Docs product requirements, CX design, security and compliance, prioritization, and deliver long-lasting solutions., • Drive the strategic evolution of our data catalog's knowledge base architecture to serve as a foundational enabler for GenAI applications, including defining and executing the roadmap for metadata enrichment, decision frameworks, and intelligent data discovery that will unlock new AI-driven insights and automation opportunities for both internal teams and external customers., • Mentor other product managers and continuously raise the technical product management bar within and outside the organization, sharing knowledge and presenting at internal conferences., • Bachelor's degree, • 11+ years of end to end product delivery experience, • Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams, • Experience contributing to engineering discussions around technology decisions and strategy related to a product, • Experience working with and influencing senior level stakeholders, • Experience in owning/managing a a highly-technical product or a product with technical customers (tech teams, engineers/scientists)., • Experience working directly with Engineers on product enhancements, • Experience in project management methodologies, business analysis, or process improvement, • Experience owning data-centric products Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $161,900/year in our lowest geographic market up to $279,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary partners who share this passion and are guided by their service to others. We are seeking a lead data solution architect who can help us create that connection by guiding Starbucks enterprise data modeling, data architecture design, data governance, data integration and performance optimization. As a lead data solution architect of our Enterprise and Solution Architecture team, this role is responsible for working with business and engineering team to design solution for ingesting, processing and syndicating data. The data solution architect ensures data are well organized for accessibility, security and reliability by maintaining data frameworks, models, and policies. They translate business needs into technical solutions. Meanwhile, they ensure the data follow best practice and enterprise standard to ensure long term healthy and success of the data platform. In this role, you will… • Data Modeling: Creating conceptual, logical, and physical data models to represent how data is structured and used across the enterprise., • Data Architecture Design: Providing solution architecture for specific business requirements as well as the overall enterprise data ecosystem. Developing and providing guidance on enterprise best practices for data ingestion, processing, and integration, • Data Governance: Establishing policies, standards, and procedures for data quality, security, and access to ensure data integrity and compliance., • Data Lake Design and Management: Designing, implementing, and maintaining data lake to support reporting, analytics, AI/ML and other business requirements., • Data Integration: Ensuring data from different sources can be seamlessly integrated and accessed. Performance Optimization: Monitoring database/data lake performance and identifying areas for improvement to ensure efficient data access and processing. Skills and experiences that will help you excel in this role… • In-depth knowledge in architecting and implementing data Lakehouse platforms, including strong experience with Databricks platform and Unity Catalog., • Experience with data management principles and best practices, including data governance frameworks using Collibra tool., • Ability to create and manage conceptual, logical and physical data models, data definitions, data dictionaries. Experience with data modeling tool such as ER Studio., • Ability to define, apply, review, and improve enterprise standards in object naming conventions, business vocabularies, and data models., • Strong experience in designing data solutions to address data standards and principles both from functional and technical requirements perspective., • Experience in Azure cloud and data bricks platform, AI/ML, reporting and analytics tools and technologies., • Good understanding of master data and metadata management procedures to ensure data accuracy, consistency and compliance., • Experience in working closely with data engineers, data scientists to optimize data integration workflows for scalability, cost management and service level agreements (SLAs)., • Knowledge of hub and spoke data architecture and data mesh principles is a plus., • Proficiency in defining and developing ontologies, business taxonomies, and extended object metadata is a plus. Communication Collaboration Skills: • A people-first style, strong multi-audience communications, and high emotional intelligence, • Ability to communicate technical concepts to both technical and non-technical audiences., • Highly committed and an excellent team player. Experience in working closely with multiple technical teams to review and document data solution architecture. • Experience with collaborating with stakeholders to understand data needs and translating business requirements into actionable solution design Your education, training, and experience should include… • Eight or more years of architecture, data, and/or IT experience, • Two or more years knowledge data modeling and/or engineering, • Two or more years of data cataloging and/or classification, • Two or more years of data engineering and/or data transformation As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to ___. *If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. If you live in the greater Seattle area, we offer a flexible workplace that allows for hybrid work. Partners can work remotely one day per week, onsite Mon-Thur. Join us and inspire with every cup. Apply today! Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at or 1(888) 611-2258.

KBC Advisors is seeking a CRM Business Analyst, Salesforce to support the scaling and optimization of our Salesforce platform. This role will work closely with our Database Manager to groom, prioritize, and execute backend configuration tasks, while also making informed recommendations on improving architecture, automation, and platform scalability to meet evolving business needs. This is a hands-on technical role with a seat at the table, helping us modernize our Salesforce org and create repeatable, scalable processes for a fast-growing commercial real estate firm. KBC Advisors is a modern, nimble purpose-built firm. We pride ourselves on doing things differently. We want team members with diverse views and experiences who can bring new ideas to the table. We value what makes each of us unique and use it to drive our innovative approach to commercial real estate. This is an in-office position in our Seattle, WA office. Essential Duties & Responsibilities Platform Administration & Configuration • Assist with day-to-day administration of our Salesforce org, including user set up, building and assigning permission sets, editing page layouts and lightning pages, building new and editing existing flows, and field configuration, • Perform regular health checks, audits, and proactive maintenance of Salesforce data and metadata, • Maintain industry best practices and recommend enhancements from Salesforce App Exchange, • Collaborate with the team to triage and groom Salesforce-related requests, • Recommend and implement backend improvements to ensure the system scales with business growth, • Work closely with our Database Manager to support ongoing projects and roadmap execution, • Maintain documentation of workflows, processes, and key system changes, • Support compliance with internal data governance standards and security protocols Preferred Qualifications • Experience working in a high-growth, multi-office environment, • Experience supporting users in the commercial real estate or professional services industry Education & Experience • Salesforce Administrator Certification (ADM 201) – Required, • Three to five plus years of experience as a Salesforce Administrator, • Strong knowledge of Salesforce platform tools, including Flow Builder, Permission Sets, Custom Objects, and Reports & Dashboards, • Experience with task grooming and ticket management tools, • Excellent communication skills and attention to detail The expected annual base salary for this position is $95,000 - $125,000. Experience, skills, location and other factors are considered when determining the salary offered.

Job DescriptionKey Responsibilities: • Collaborate with stakeholders to gather business and data requirements., • Analyze and profile large datasets using SQL to support business intelligence and data engineering needs., • Develop and maintain source-to-target data mapping documents., • Work closely with Data Engineers to validate data transformations and pipeline outputs., • Partner with Power BI Developers to ensure data models are aligned with business use cases., • Document business rules, data logic, and lineage to support data governance and quality initiatives., • Perform gap analysis between current and desired data flows., • 5+ years of experience as a Data Analyst or Business Analyst with a focus on data., • Strong SQL/KQL skills, including complex queries against large datasets., • Demonstrated experience in data mapping, data profiling, and source-to-target documentation., • Experience working with modern data platforms; familiarity with Microsoft Azure Data Factory (ADF), Data Lake, and/or Microsoft Fabric is a plus., • Ability to translate business requirements into technical specifications., • Strong communication skills and comfort interfacing with business and technical stakeholders., • Experience with Power BI or similar BI tools., • Knowledge of data governance frameworks and metadata management., • Experience with Excel, Visio, and other documentation tools

Job DescriptionThe CompanyMetropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.The Role We are seeking a Senior Computer Vision Engineer to lead the development of advanced multi-camera perception and localization systems with an integrated focus on image-based search, vector database integration, and re-ranking strategies. You will design and build algorithms that combine object tracking, scene understanding, and cross-camera reasoning with scalable retrieval systems to power high-precision localization and visual matching across large-scale deployments. This role requires strong expertise in computer vision, real-time systems, and search infrastructure, with a focus on turning visual data into actionable spatial intelligence. Responsibilities • Design and implement algorithms for multi-camera object detection, classification, and persistent tracking., • Build scene understanding modules to extract landmarks, spatial layout, and semantic context from image streams., • Develop cross-camera fusion and localization methods for consistent identification and positioning of objects., • Architect and deploy visual search systems using vector databases (e.g., OpenSearch, FAISS, Milvus) for image-based retrieval and matching., • Design and implement re-ranking techniques to improve retrieval precision based on context, metadata, and scene cues., • Create tools and metrics to evaluate retrieval quality, localization accuracy, and perception robustness., • Collaborate across ML, backend, and infrastructure teams to ensure scalable, real-time deployment., • Investigate system-level issues, drive debugging efforts, and improve model and system performance., • M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field., • 5+ years of industry experience in computer vision, image retrieval, or perception systems., • Strong background in object detection, tracking, and scene understanding using multi-camera inputs., • Deep understanding of vector-based retrieval systems and experience with OpenSearch, FAISS, or similar tools., • Proficiency in Python or C++, with hands-on experience in PyTorch, TensorFlow, and OpenCV., • Experience in building large-scale image retrieval pipelines, including feature extraction, indexing, and search optimization., • Knowledge of multi-view geometry, and cross-camera identity association., • Experience evaluating and tuning re-ranking strategies using contextual and multi-modal signals., • Exposure to cloud-based deployment of search systems (e.g., OpenSearch cluster tuning, sharding, replication)., • Experience with edge deployment of perception pipelines (e.g., Jetson, Qualcomm)., • Publications or patents in the fields of visual search, localization, or multi-camera perception.When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionCompany Description Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description We are seeking a Backend AI Platform Engineer to design and build core backend services that power our Agentic AI Platform, enabling reasoning-driven agents, multi-agent orchestration, dialog management, and outcome-based workflows. You will work closely with the Principal AI Agentic Architect to implement high-performance APIs, orchestration runtimes, agent lifecycle management, and integration with frameworks like LangChain, LangGraph, and LangSmith. This role is hands-on and ideal for someone passionate about building robust, scalable backend systems in a fast-paced, startup-like environment. Key Responsibilities: Platform Backend Development • Experience building agent runtime systems, orchestration layers, or reasoning engines., • Implement agent runtime orchestration services for reasoning, planning, and tool invocation (integrating LangChain/LangGraph)., • Develop APIs and SDKs for building, deploying, and managing agent workflows and tools., • Build stateful dialog management and memory services to support multi-turn, context-aware agents., • Work with the Architect to build cloud-native, event-driven backend services using microservices or service mesh architecture., • Design task scheduling and workflow orchestration (e.g., Temporal/Airflow) for agent planning and long-running operations., • Develop real-time message buses (Kafka/Pub-Sub) for agent communication and event propagation., • Implement integrations with enterprise systems, APIs, and knowledge sources (REST, GraphQL, gRPC)., • Work with vector DBs (e.g., ElasticSearch, Pinecone, Weaviate, FAISS) and RAG pipelines for knowledge-augmented reasoning agents., • Build secure multi-tenant backend services with RBAC, API authentication, and tenant isolation., • Ensure agent action auditability and reproducibility for compliance and governance., • Write automated test suites (unit, integration, load testing) for backend services., • Implement logging, tracing, and metrics (OpenTelemetry, Prometheus, Grafana) for full observability., • Participate in on-call rotations and improve platform resiliency and fault tolerance. Please note: This is a hybrid role that will be based in San Mateo, CA or Bellevue, WA and requires an in-office presence three days per week (Tuesday - Thursday). Qualifications Required Qualifications: • 7+ years of backend engineering experience, with at least 2+ years in AI/ML platform development., • Strong programming skills in Java and Python, • Hands-on experience with LangChain, LangGraph, LangSmith LLM/agent frameworks, • Expertise in distributed systems, event-driven architectures, and microservices, • Solid experience with cloud platforms (AWS), Kubernetes, and IaC (Terraform/Helm), • Familiarity with databases (PostgreSQL, Redis, MongoDB) and vector databases (ElasticSearch, Pinecone, FAISS, Weaviate), • Understanding of workflow orchestration (Temporal/Airflow) and messaging systems (Kafka, RabbitMQ), • Exposure to conversation orchestration, dialog state tracking, and AI-driven planning systems, • Familiarity with enterprise security standards (RBAC, SSO/OAuth2, data encryption), • Prior experience in startup or high-growth environments building SaaS platforms, • Contributions to open-source AI agentic frameworks or backend libraries Additional Information The annual base salary range for this position is $238,000 - $342,000. Compensation is based on a variety of factors including but not limited to location, experience, job-related skills, and level. Bonus/equity may be available. Freshworks offers multiple options for dental, medical, vision, disability and life insurances. Equity + ESPP, flexible PTO, flexible spending, commuter benefits and wellness benefits are also offered. Freshworks also offers adoption and parental leave benefits. At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Job Description Position: Data Engineer III Location: Seattle, WA 98121 Duration: 17 Months Job Type: Contract Work Type: Onsite Job Description: The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure. Responsibilities As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data. Design, build, and maintain scalable, reliable, and reusable data pipelines and infrastructure that support analytics, reporting, and strategic decision-making You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs. Explore source systems, data flows, and business processes to uncover opportunities, ensure data accuracy and completeness, and drive improvements in data quality and usability. Required Skills & Experience 7+ years of related experience. Experience with data modeling, warehousing and building ETL pipelines Strong experience with SQL Experience in at least one modern scripting or programming language, such as Python, Java. Strong analytical skills, with the ability to translate business requirements into technical data solutions. Excellent communication skills, with the ability to collaborate across technical and business teams. A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies. Preferred Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) 3+ years of reparation of data for direct use in visualization tools like Tableau experience KPI: Meet requirements, how they action solutions, etc.: Leadership Principles: Deliver Results Dive Deep Top 3 must-have hard skills Strong experience with SQL Experience in at least one modern scripting or programming language, such as Python, Java. Experience with data modeling, warehousing and building ETL pipelines

Job Description KBC Advisors is seeking a CRM Business Analyst, Salesforce to support the scaling and optimization of our Salesforce platform. This role will work closely with our Database Manager to groom, prioritize, and execute backend configuration tasks, while also making informed recommendations on improving architecture, automation, and platform scalability to meet evolving business needs. This is a hands-on technical role with a seat at the table, helping us modernize our Salesforce org and create repeatable, scalable processes for a fast-growing commercial real estate firm. KBC Advisors is a modern, nimble purpose-built firm. We pride ourselves on doing things differently. We want team members with diverse views and experiences who can bring new ideas to the table. We value what makes each of us unique and use it to drive our innovative approach to commercial real estate. This is an in-office position in our Seattle, WA office. Essential Duties & Responsibilities Platform Administration & Configuration • Assist with day-to-day administration of our Salesforce org, including user set up, building and assigning permission sets, editing page layouts and lightning pages, building new and editing existing flows, and field configuration, • Perform regular health checks, audits, and proactive maintenance of Salesforce data and metadata, • Maintain industry best practices and recommend enhancements from Salesforce App Exchange, • Collaborate with the team to triage and groom Salesforce-related requests, • Recommend and implement backend improvements to ensure the system scales with business growth, • Work closely with our Database Manager to support ongoing projects and roadmap execution, • Maintain documentation of workflows, processes, and key system changes, • Experience working in a high-growth, multi-office environment, • Salesforce Administrator Certification (ADM 201) – Required, • Three to five plus years of experience as a Salesforce Administrator, • Strong knowledge of Salesforce platform tools, including Flow Builder, Permission Sets, Custom Objects, and Reports & Dashboards, • Experience with task grooming and ticket management tools, • Excellent communication skills and attention to detail The expected annual base salary for this position is $95,000 - $125,000. Experience, skills, location and other factors are considered when determining the salary offered.

Job DescriptionCompany Description “We’re not in the shipping business; we’re in the information business” -Peter Rose, Expeditors Founder Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics. • 18,000 trained professionals, • 350+ locations worldwide across 60+ countries, • Fortune 500, • Globally unified systemsJob Description The Core Enterprise Data and Analytics Group is looking for strong candidates who want to help design and expand our library of automation tools and frameworks. We are looking for a candidate with experience testing large amounts of data and building new test frameworks. You will be responsible for shaping the direction and quality of our data pipelines and the frameworks used to test them. The Developer in Test designs, develops and maintains custom test automation frameworks, to test big data with complex transformations. They participate in the design and development of systems with an eye towards assuring quality and testability. They fully understand and support the role of our Quality Assurance Engineers by providing automated testing tools and generating datasets for their data pipelines. They also perform quality assurance tasks such as test planning, test case generation and testing. They act as a driver for progress in their team. This team has a startup culture. Responsibilities: • Design test plans for Azure data engineering projects that use services like Databricks and Synapse., • Perform functional analysis and data validation., • Perform data completeness testing, duplicate data detection, and data validation rule enforcement., • Use and create design and mapping documents for transformation rules to ensure proper testing., • Collaborate with Business Analysts and Developers to define testing requirements., • Develop overall test strategy, lead testing of all impacted applications/infrastructure, and support post-production activities., • Write test scripts for inbound and outbound ETL processes and interfaces with other systems., • Conduct data quality and audit checks on source and target data., • Prepare mockup/synthetic data to test positive and negative scenarios to meet business requirements., • Create test-related documents and provide results to various client systems using Azure technology., • Test large datasets (millions of records) from diverse sources., • Conduct whitebox and blackbox testing for data transformation processes., • Downtown Seattle, • Federal Way, • Lynnwood, • Bellevue (Factoria)Qualifications MINIMUM QUALIFICATIONS • 4+ years of experience with object-oriented languages (Python preferred) and SQL., • 4+ years of experience in a technical quality assurance role., • Experience with cloud technologies (Azure preferred)., • Experience working with databases., • Proficiency in reading and writing code in programming languages such as Python, Java, or JavaScript (Python preferred)., • Strong understanding of SQL and data warehousing concepts., • Experience with test automation frameworks., • Ability to generate consensus among team members., • Familiarity with Python development., • BS in Computer Science or comparable work experience., • Strong troubleshooting and communication skills., • Ability to drive technical and process improvements., • Proficiency with automation tools and writing automation tests, test automation, automation frameworks, and testing best practices., • Proficiency with Agile methodologies., • Experience with GIT or other versioning tools, IntelliJ or other IDEs., • Experience working with Kafka., • Experience with ETL tools and data validation using Azure technologies (Databricks, Azure SQL Server/Synapse)., • Experience with data validation for on-prem to cloud migration., • Experience testing large datasets from diverse sources., • Experience validating front-end data in Power BI reports and ensure it matches the database., • Strong SQL skills for data comparison and analysis., • Ability to create and manage test data for various scenarios., • Understanding of data transformation processes and validation techniques., • Experience with data profiling and quality tools., • Knowledge of data warehousing concepts., • Understanding of cloud platforms (AWS, Azure, GCP)., • Familiarity with test automation frameworks like Cucumber., • Previous experience in a similar role, particularly in testing cloud-based solutions., • Experience with CI/CD pipelines and DevOps practices., • Experience with data completeness testing, duplicate data checks, and data integrity checks., • Experience with whitebox and blackbox testing for data transformation processes., • Experience with metadata testing, including verification of table and column definitions, data types, lengths, constraints, and indexes. Additional Information Expected base salary: $120,000 to $170,000 Expeditors offers excellent benefits: • Paid vacation, • Holidays (10), • Flexible Days (2), • Paid Sick Time (accrual rate of 1 hour of sick time per 30 hours paid), • 401(k) Retirement Savings Plan with employer match, • Employee Stock Purchase Plan (ESPP), • Medical, Prescription Drug, Dental & Vision Coverage, • Health Savings Account (HSA), • Life and Disability Insurance, • Paid Parental Leave (additional eligibility criteria), • Dependent Care Flexible Spending Account (DC FSA), • Commuter Benefit, • Employee Assistance Program (EAP), • Training and Personnel Development Program, • Educational Assistance and Reimbursement, • Position is full time (40 hours per week) Monday through Friday

Position: Data Engineer III Location: Seattle, WA 98121 Duration: 17 Months Job Type: Contract Work Type: Onsite Job Description: The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure. Responsibilities As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data. Design, build, and maintain scalable, reliable, and reusable data pipelines and infrastructure that support analytics, reporting, and strategic decision-making You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs. Explore source systems, data flows, and business processes to uncover opportunities, ensure data accuracy and completeness, and drive improvements in data quality and usability. Required Skills & Experience 7+ years of related experience. Experience with data modeling, warehousing and building ETL pipelines Strong experience with SQL Experience in at least one modern scripting or programming language, such as Python, Java. Strong analytical skills, with the ability to translate business requirements into technical data solutions. Excellent communication skills, with the ability to collaborate across technical and business teams. A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies. Preferred Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) 3+ years of reparation of data for direct use in visualization tools like Tableau experience KPI: Meet requirements, how they action solutions, etc.: Leadership Principles: Deliver Results Dive Deep Top 3 must-have hard skills Strong experience with SQL Experience in at least one modern scripting or programming language, such as Python, Java. Experience with data modeling, warehousing and building ETL pipelines

Overview We’re seeking exceptional Principal Engineers to join our creative team. Oleria is an enterprise cybersecurity startup founded by notable industry senior leaders Jim Alkove and Jagadeesh Kunda, with deep security, data, and SaaS experience building and securing some of the world’s largest platforms and products used by billions of people worldwide every day. Oleria has received over $43M in funding from Evolution Equity Partners, Salesforce Ventures, Tapestry VC, Zscaler, and other technology luminaries. We recognize that identity-based attacks on cloud applications are becoming increasingly common, highlighting the importance of addressing access risks to prevent data breaches. Traditional access management methods are human-intensive and often have significant blind spots, making it challenging to manage access risks effectively. At Oleria, we are on a mission to revolutionize access control solutions for enterprise cloud applications, aiming to reduce the opportunity and scope of data breaches. Our esteemed target customers consist of Fortune 500 corporations and public sector organizations, making your contributions vital to improving the security of data for millions of people around the world. About Our Engineering Team We’re disrupting the identity security market! Our products deliver identity security through autonomous, data-driven solutions. We leverage graph technology and artificial intelligence to pioneer a new approach that eliminates complexities and human intervention in identity and access management. Our core driving force is an advanced data platform that autonomously ingests, correlates, and analyzes identity data to build comprehensive access intelligence graphs. These graphs power our AI engines to deliver adaptive, self-learning access controls that provide organizations with frictionless yet highly secure user experiences. With customer-centricity at our core, our engineering, product and go to market team collaborates to deeply understand market needs and translate them into intuitive products that offer unprecedented visibility, control, and defense capabilities. Join our passionate team and contribute to shaping the future of autonomous identity management. About You Are you ready to ditch the corporate grind and join a team where your code fuels innovation? We're a cloud-based identity security SaaS startup, disrupting the industry, and we need Principal Backend Engineers who crave autonomy, impact, and the thrill of building something from the ground up. Your Playground: No Ivory Towers: We're a flat hierarchy where ideas reign supreme. Your expertise will shape our tech stack, influence product direction, and mentor rising stars. Code that Matters: Say goodbye to endless bug fixes. You'll architect scalable systems, wrangle massive datasets, and craft elegant solutions that delight our customers. Cutting-Edge Tech: We're not afraid to experiment and push boundaries. You'll play with the latest cloud tools, work in AI/ML, and build systems that redefine what's possible. Collaborative: We're a tight-knit crew that values open communication and knowledge sharing. Your voice will be heard, and your ideas celebrated. Your Strengths: Backend: You've mastered the art of crafting robust, high-performance backend systems that can scale with our ambitious growth. Cloud: You navigate the cloud landscape with ease, leveraging its power to build efficient, resilient, and cost-effective solutions. Problem-Solving: You thrive on challenges, dissecting complex problems with a mix of creativity, logic, and a touch of hacker spirit. Mentorship: You're eager to share your knowledge, guide junior engineers, and foster a culture of continuous learning and growth. \n Job Duties • Architect and build core backend systems, • Design, develop, and maintain scalable backend services for access management, user preferences, provisioning, and other critical functionalities., • Build systems using different architecture styles such as micro-services, event-driven, stream-based, allowing for flexible scaling, independent deployments, and real-time data processing depending on the specific application needs., • Build robust data processing and analysis pipelines to ingest, store, and analyze historical and real-time cloud identity access logs and metadata., • Implement algorithms and models to identify over-provisioning, security risks, and potential threats., • Deep dive evaluation of solution proposals or product features, accompanied by the creation or review of design documents and code., • Develop features to provide actionable recommendations to customers for improving their cloud identity security posture., • Ensure high performance, scalability, and reliability of backend systems to support our growing user base and data volumes., • Shape DevOps practices and toolset, • Collaborate with the team to establish a world-class development lifecycle, architecture, and toolset, from initial concept through DevSecOps delivery., • Champion best practices for CI/CD, containerization, infrastructure as code, and other modern deployment techniques., • Drive the adoption of automation and monitoring tools to ensure system health and performance., • Define service architecture and APIs, • Design well-structured and maintainable APIs that enable seamless integration with frontend and other backend services., • Participate in architectural discussions and make informed decisions about tradeoffs, balancing technical excellence with business needs., • Uphold principles and values that ensure the security, privacy, and integrity of our systems and data. Job Requirements • 10+ years of professional experience in backend development, with a focus on building scalable and distributed systems., • Experience in cybersecurity or SaaS industry, with a preference for knowledge of identity access and governance., • Proven track record of shipping and operating high-scale commercial SaaS products., • Experience working with access logs and metadata, and/or building security analytics solutions with a preference for knowledge of cloud identity related data., • Experience with data-intensive applications and real-time analytics is highly desirable., • Proficiency in one or more of the following languages is required, with a strong understanding of their tradeoffs: Go, Python, java, C#, C++, • Languages and Frameworks: Many and varied, with understanding of technical and community pros, cons, and tradeoffs., • Deep understanding of RESTful API design principles., • Strong understanding of industry best practices across the entire software development lifecycle, from design to deployment to operations., • Proven expertise in designing and implementing scalable solutions for data ingestion, transport, storage and retrieval., • Ability to navigate through highly ambiguous problems and find the best possible solution understanding the scope and trade offs., • Proven experience with a variety of databases technologies, including relational, graph and NoSQL database stacks along with knowledge of their strengths and trade-offs, • Strong grasp of core networking concepts and protocols to ensure efficient and reliable data communication, • Hands-on experience with at least one public cloud platform (AWS preferred), including modern deployment tooling (CI/CD, containers, Terraform, etc.)., • Deep understanding of performance, privacy, scalability, HA/DR, instrumentation, logging & alerting, and other non-functional requirements of enterprise-scale products., • Familiarity with secure development practices and industry best practices for security, privacy, and data governance., • Ability to multi-task and oversee multiple projects at once., • Strong collaboration skills with the ability to work with others in a conscientious manner., • Excellent communication capabilities that allow you to convey ideas and work effectively internally and externally., • Adaptable and flexible for success in a startup environment., • Strong problem solving skills with a design mindset., • Self starter capabilities where you can help to define direction and deliver., • Knowledge of security concepts, threat detection techniques, and anomaly detection algorithms preferred., • Willing and able to work in a local office up to 3 days per week Tuesday through Thursday and attend other in person events as necessary. What we offer • Industry-competitive compensation, • 100% paid medical, dental, and vision benefits for individuals, plus generous contributions toward dependent plan premiums, • Company-paid Life, STD, and LTD insurance, • 12 weeks fully-paid parental leave for all new parents, • Flexible PTO policy, • 13 paid holidays in the US \n The base annual compensation range being offered for this role depending on individual candidate level and experience is $180,000 to $240,000 and it provides an opportunity to participate in equity ownership of our technology startup.

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The Lead Data Governance Analyst will be essential in ensuring effective data governance across Disney, focusing on data stewardship, developing and operationalizing data policies, standards, and processes, data cataloging and metadata management, and reference data management. This role will lead a

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Role: Metadata/Taxonomy Lead with Data Quality knowledge Location: Redmond office and occasional visit to Boeing (Everette) Role Overview The Metadata & Taxonomy Lead will be responsible for leading the design and implementation of a scalable, standards-driven metadata framework across Boeing’s engineering data landscape. This role combines deep expertise in metadata strategy, taxonomy development, and semantic architecture with a strong understanding of data quality principles. The ideal candidate will guide metadata governance efforts to improve data discoverability, consistency, and regulatory compliance while enabling downstream analytics, automation, and collaboration across engineering teams. Key Responsibilities • Define the metadata strategy, governance standards, and operating model for engineering and technical data domains., • Lead the development of taxonomies, controlled vocabularies, and metadata models to ensure consistent classification, labeling, and contextualization of engineering data., • Partner with data stewards, owners, and engineering SMEs to align business definitions, technical metadata, and regulatory classification (e.g., ITAR, DFARS, EAR)., • Establish metadata-driven approaches for improving data quality, including rule-based validation, completeness scoring, and lineage tracking., • Oversee metadata integration across platforms (PLM, ERP, SharePoint, data catalog tools) to support federated governance and traceability., • Provide architectural oversight and best practices for metadata tools, data catalogs, and knowledge graphs., • Support change management and training by promoting consistent use of business glossaries and taxonomy standards across engineering teams. Required Skills & Qualifications • 7+ years of experience in metadata governance, taxonomy architecture, or knowledge management—preferably within aerospace, manufacturing, or regulated industries., • Proven leadership in designing and implementing metadata frameworks at scale, including semantic modeling and classification systems., • Strong understanding of data quality principles and hands-on experience applying data validation rules and profiling techniques., • Familiarity with export classification frameworks (ITAR, DFARS) and how they impact metadata tagging and access control., • Experience with metadata management tools (e.g., Collibra, Alation, Solidatus, Informatica) and cataloging across multiple repositories., • Ability to lead cross-functional working groups and influence adoption across business and technical teams., • Background working with engineering data platforms (Teamcenter, Windchill, CAD repositories, SharePoint) is a plus.

Title- Data Engineer Lead/Architect Position- Full Time and Contract JD Work Required • Lead the architecture, design, and implementation of scalable, modular, and reusable data flow pipelines using Cribl, Apache NiFi, Vector, and other open-source platforms, ensuring consistent ingestion strategies across a complex, multi-source telemetry environment., • Develop platform-agnostic ingestion frameworks and template-driven architectures to enable reusable ingestion patterns, supporting a variety of input types (e.g., syslog, Kafka, HTTP, Event Hubs, Blob Storage) and output destinations (e.g., Snowflake, Splunk, ADX, Log Analytics, Anvilogic)., • Spearhead the creation and adoption of a schema normalization strategy, leveraging the Open Cybersecurity Schema Framework (OCSF), including field mapping, transformation templates, and schema validation logic—designed to be portable across ingestion platforms., • Design and implement custom data transformations and enrichments using scripting languages such as Groovy, Python, or JavaScript, while enforcing robust governance and security controls (SSL/TLS, client authentication, input validation, logging)., • Ensure full end-to-end traceability and lineage of data across the ingestion, transformation, and storage lifecycle, including metadata tagging, correlation IDs, and change tracking for forensic and audit readiness., • Collaborate with observability and platform teams to integrate pipeline-level health monitoring, transformation failure logging, and anomaly detection mechanisms., • Oversee and validate data integration efforts, ensuring high-fidelity delivery into downstream analytics platforms and data stores, with minimal data loss, duplication, or transformation drift., • Lead technical working sessions to evaluate and recommend best-fit technologies, tools, and practices for managing structured and unstructured security telemetry data at scale., • Implement data transformation logic including filtering, enrichment, dynamic routing, and format conversions (e.g., JSON ↔ CSV, XML, Logfmt) to prepare data for downstream analytics platforms. (100 plus sources of data)

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and clean, with a high signal to noise ratio.

Focus on the core content of the job post, removing all unnecessary metadata, navigation mentions, and extraneous details.The content should be clean, concise, and formatted beautifully for easy readability.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing any extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata and navigation details.Only print the job title and job description, ensuring a high signal to noise ratio and a beautiful, condensed read.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the high signal to noise ratio, making the content beautiful and condensed.

Focus on the core content of the job post, removing all unnecessary metadata, navigation mentions, and special characters.Keep the formatting beautiful and consistent across the platform.

Focus on the core content of the job post, removing any extra metadata, navigation, and redundant headers.Keep the formatting beautiful and clean, ensuring no links, buttons, or extraneous information distracts from the main job description.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the content beautiful and concise, removing any unnecessary details or formatting elements.Start with a high-level header for consistency across all job posts, ensuring no made-up

Focus on the core content of the job post, removing all unnecessary metadata, navigation mentions, and extraneous details.The content should be clean, focused, and easy to read.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the high signal to noise ratio, making the content beautiful and condensed.

Focus on the core content of the job post, removing all unnecessary metadata, navigation mentions, and extraneous details.The goal is to present a clean, beautiful, and high signal-to-noise ratio job description.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the content beautiful and high signal to noise ratio.

Focus on the core content of the job post.Remove all extra metadata from the top of the page, including department, location, job_id, requisition_id, and others.Delete hanging information like department, location, job_id, requisition_id, and others.Remove obvious/redundant headers and dive into the

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the content beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing any extra metadata, navigation mentions, and other non-essential information.Keep the formatting clean and beautiful, ensuring the job title and description are prominently displayed.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the content beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the high signal to noise ratio, making the content beautiful and condensed.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and clean, with a high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and other non-essential information.Keep the formatting beautiful and consistent across the platform.

Focus on the core content of the job post, removing all extra metadata, headers, and redundant information.Keep the formatting beautiful and consistent across the platform.

Focus on the main content of the job post, removing all unnecessary metadata, links, buttons, and extraneous details.Ensure the formatting is consistent and clean, with a high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.Remove any emojis, special characters, website cookies mentions, and page load errors.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the content beautiful and concise, removing any unnecessary details or formatting elements.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the job title and job description, ensuring high signal to noise ratio and a beautiful, condensed read.

Focus on the core content of the job post, removing any extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.Remove any emojis, special characters, website cookies, and page load errors.

This is the job title and description.No extra metadata, links, buttons, or any other unnecessary elements have been included.The content is focused, clean, and ready for your platform.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all unnecessary metadata, navigation mentions, and extraneous details.The goal is to present a clean, high-signal-to-noise ratio job description, formatted beautifully for easy reading.

Focus on the core content of the job post, removing all extra metadata, navigation, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post.Remove all extra metadata from the top of the page.Delete hanging information like department, location, job_id, requisition_id, and others.Remove any extra mentions of description, job details, job post, etc.At the top of the page, remove obvious/redundant