Data Clerk jobs
Ebay Senior MTS Software Eng. Data Platform United States, Texas, Austin
Share
Senior MTS Software Engineer, Data Platform
Job Type: Full-time
About the RoleWe are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.
What you’ll do and learn
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.
Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization
Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
Excellent in interpersonal communication
What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).
Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.
Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.
Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.
Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.
Growth mindset
High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.
Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.
Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.
Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.
Always-on responsibility with balance
Qualifications
12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
Strong foundation in data structures, algorithms, and distributed systems design .
Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.
Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.
BS/MS in CS or equivalent practical experience.
The base pay range for this position is expected in the range below:
$152,400 - $247,800These jobs might be a good fit
Nvidia Senior Financial Analyst - Data Center Networking United States, California
Share
- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 5 Days Ago
- job requisition id
What you’ll be doing:
Critical member of revenue forecasting processes and conduct detailed variance analysis to deliver actionable insights in a fast-paced, high-growth environment.
Build and maintain dynamic financial models to project revenue, costs, and gross margins, supporting strategic planning and performance management.
Analyze complex financial data and trends to provide clear, data-driven recommendations to senior leadership and cross-functional business partners.
Champion continuous improvement initiatives in financial reporting by implementing automation and optimizing reporting processes.
Ensure accurate and timely financial reporting in accordance with the FP&A calendar and quarter-end close requirements, maintaining high standards of data integrity and compliance.
What we need to see:
12+ overall years of financial planning experience, especially with data analytics and data modeling of a business unit, supporting a global, high-tech corporation.
Bachelor’s degree or equivalent experience in Finance, Economics, Business; MBA a plus.
Expert analytical skills and advanced financial modeling techniques in Excel, with ability to build and convey business insight.
Define new processes and analytics as well as influence business decisions.
Ability to improve and streamline manual processes and drive efficiency.
Strong leadership, interpersonal, and communication skills, including effective communication at all levels within the Company.
Ways to stand out from the crowd:
Expert analytical and complex financial modeling skills, critical thinking and problem-solving skills.
Experience collaborating across a large organization to influence change.
Excellent communication and interpersonal skills, with proven ability to build successful relationships and partner with all levels of a company’s organization.
Creative and innovative leader with a positive approach and a focus on business solutions.
Experience with SAP, SFDC, Tableau and BI Tools applications.
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Senior Product Marketing Manager - Data Science United States, California
Share
- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 2 Days Ago
- job requisition id
What you’ll be doing:
Lead positioning, messaging and launches for key data science and processing products
Develop technical content such as blogs, videos, and presentations to help data scientists embrace NVIDIA’s SDKs
Support go-to-market for NVIDIA hardware platforms for data processing as part of cross-functional team
Conduct competitive and ecosystem analysis to develop positioning and focus promotion
Engage with the data science community directly and present key technologies at events
Derive insights from customer adoption trends and share with internal teams
What we need to see:
8+ years’ experience with launching, go-to-market and scaling technical product adoption for data scientists or developers.
Bachelors degree in a scientific or technical field (or equivalent experience).
Knowledge of data science packages and machine learning frameworks.
You love and thrive in a cross-functional organization, by collaborating with peers across teams and functions.
Excellent written and spoken communication skills.
Experience presenting at meetings, conferences, and webinars.
Strong grasp of content marketing and social media methodologies.
Comfortable reviewing Python code used in presentations, demos, and articles.
Ways to stand out from the crowd:
Clearly communicate your understanding of NVIDIA’s strategy and technology.
Measurable impact (metrics, awards, key accomplishments) you can share.
Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Data Analyst AI Factory Operations United States, California
Share
- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 4 Days Ago
- job requisition id
What you'll be doing:
Own and complete the building and development of reporting solutions across SFDC, Wrike, Power BI, and related platforms based on field and management needs.
Lead needs assessments and requirements analyses to identify efficient tools and processes for business reporting.
Build, analyze, and present data-driven insights and forecasts, offering actionable recommendations to collaborators.
Develop and maintain NVIS dashboards that deliver clarity and performance visibility across key operational metrics.
Collaborate with cross-functional teams—engineering, operations, planning, OEM partners, and logistics—to document and optimize lifecycle processes.
Serve as the primary contact for Data Analytics process blocking issues for lifecycle accountability, ensuring efficient and transparent issue resolution.
Monitor operational performance, document workflows, and drive continuous improvement initiatives across data and logistics functions.
What we need to see:
Bachelor’s degree or equivalent experience.
5+ years of experience overall, with at least 4 years in data reporting, process mapping, supply chain, logistics, or related program management.
Verified background in building dashboards and analytics through SFDC, Wrike, Power BI, or related tools.
Strong understanding of information systems integration, reporting methodologies, and data visualization guidelines.
Excellent analytical, problem-solving, and communication skills for cross-functional collaboration.
Demonstrated ability to detail and refine processes, manage reporting tasks, and synthesize insights for executive audiences.
You will also be eligible for equity and .
These jobs might be a good fit
Boston Scientific Manager Commercial Data Strategy United States, Minnesota
Share
Required qualifications:
- Bachelor’s degree.
- Minimum of 8 years' experience in IT and data domains, including leadership of data or platform engineering teams.
- Minimum of 8 years' experience operating mission-critical data workloads on AWS (e.g., Lambda, CloudFormation).
- Experience partnering with commercial business functions such as Sales and Services.
- Demonstrated strength in written, verbal, and presentation communication across technical and business audiences.
- Minimum of 5 years' experience with Agile methodologies such as SCRUM; PMI-ACP, CSM, or equivalent preferred.\
- Proven technical leadership with ability to guide software development and evaluate complex technical risks.
- Experience managing data warehouse/mart design and scalable data architecture.
- Demonstrated success in building secure, reliable data pipelines and sourcing external data.
- Familiarity with analytics tools such as Tableau, Power BI, or SSRS.
Preferred qualifications:
- Previous or current Boston Scientific experience
- Extensive background in SDLC models and hybrid project management (Agile + traditional).
- Hands-on experience with Agile project management tools (e.g., Jira, Rally, VersionOne).
- Proficiency with Microsoft Project, Visio, and Microsoft Office suite.
- Salesforce.com Administrator and/or Developer certification.
- Creative problem-solver with strong attention to detail and the ability to maintain a strategic view.
- Demonstrated ability to lead complex, enterprise-scale projects across functional boundaries.
- AWS Developer or Solutions Architect certification.
- SnowPro Core certification.
- Experience with tools such as Apache Airflow, AWS Glue, and StreamSets.
- Understanding of machine learning and AI concepts, particularly as applied to commercial analytics.
Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
These jobs might be a good fit
West Pharma Apprentice Industrial Clerk m/f/d United States, Pennsylvania, Williamsport
Share
Training for this position will take place Monday through Friday, following an 8-hour day shift schedule, until the second quarter of 2026. After that, the schedule will transition to a 12-hour night shift on a 2-2-3-2 rotation, running from 5:45 PM to 6:00 AM.
In this role, you will be responsible for performing highly diversified duties to install, troubleshoot, repair and maintain production equipment according to safety, predictive, and productive maintenance systems and processes to support the achievement of the site’s business goals and objectives.
- Provide emergency/unscheduled repairs of all manufacturing equipment during production as well as performing scheduled preventative maintenance of the same.
- Perform mechanic skills including, but not limited to, mechanical, electrical, pneumatic, hydraulic, troubleshooting and repair of production machines.
- Maintains and updates equipment documentation regarding repair/adjustments.
- Be able to comprehend equipment manuals, electrical wiring diagrams, hydraulic drawings, and mechanical drawings.
- Be able to provide required fabrication of various shields and guards. Ability to bend, cut, shape, weld.
- Diagnose problems, replace or repair parts, test, and adjust.
- Interface with manufacturing engineering to implement process improvements.
- Use a variety of hand and power tools, electric meters and material handling equipment in the performance of your duties.
- Be available to work various shifts, including overtime and weekends when necessary. To share call in duties with others assigned.
- Actively participate and comply with all West Health, Safety and Environmental programs and regulations.
- Maintain a neat and orderly work environment in accordance with West 5S program.
- Participate in training to become more proficient in the working knowledge of and repair of incoming machinery.
- Set up and installation of incoming and new equipment.
- Other duties as assigned.
- High School Diploma or GED Required.
- Trade or Vocational School preferred.
- One (1) year certificate from a technical school or college in a trade relating to electrical, pneumatic or mechanical; or a minimum of 3 years’ experience on the job training (related to plant maintenance); or a combination of education and experience in a trade relating to this position.
- 3 years of manufacturing maintenance experience or a combination of education and experience in a trade relating to this position.
- Ability to operate a Powered Industrial Truck.
- Ability to understand and follow company's Standard Operating Procedures.
- Support and contribute to Lean Sigma programs and activities towards delivery of the set target.
- Able to comply with the company’s safety policy at all times.
- Able to comply with the company’s quality policy at all times.
These jobs might be a good fit
Nvidia Senior Engineering Manager - Data Center Telemetry RAS United States, Texas
Share
- US, CA, Santa Clara
- US, Remote
- time type
- Full time
- posted on
- Posted 5 Days Ago
- job requisition id
What you’ll be doing:
Lead Data Center Compute Telemetry & RAS:Own the end-to-end architecture and delivery for telemetry solutions, including fleet health monitoring, fault remediation, and data visualization at scale. Owning OOB telemetry solution and data validation for telemetry from each underlying device.
Build and Mentor a World-Class Team:Recruit, develop, and motivate a high-performing engineering team focused on platform telemetry, RAS and observability.
Process Optimization:Continuously improve software development processes for optimal productivity and quality.
Cross-Functional Collaboration:Work across teams to ensure seamless integration of telemetry solutions with platform firmware, server architecture, and data center management.
Product Ownership:Drive product life cycles with QA teams, ensuring robust testing, productization, and delivery.
Performance Management:Conduct performance reviews, foster a culture of excellence, and ensure high productivity.
What we need to see:
12+ overall years of relevant experience and 5 yrs of managing systems/platform software teams, ideally in server RAS, firmware, telemetry, or data center solutions.
BS, MS, or PhD in EE/CS or related field (or equivalent experience).
Strong knowledge of DMTF/PLDM for OOB telemetry collection, time series databases (e.g., InfluxDB, Prometheus) and REST APIs (Redfish)..
Deep understanding of Server and firmware architecture and optimization for low-latency APIs.
Proven track record of delivering scalable server products and telemetry solutions.
Experience with SCM (Git, Perforce) and project management tools (Jira).
Excellent written and oral communication skills, strong work ethic, and commitment to teamwork.
Hands-on experience with x86/ARM system architecture and coding (C/C++, Python).
Familiarity with Confidential Compute and notification systems.
Demonstrated ability to analyze algorithms for time/space complexity and system resource requirements.
You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding.
Ways to stand out from the crowd:
Experience building and scaling telemetry collection and analysis engines.
Active contributor to Open Compute (OCP) and DMTF in relevant areas.
Proven leadership in delivering innovative platform telemetry solutions for large-scale AI infrastructure.
You will also be eligible for equity and .
These jobs might be a good fit
Share
Senior MTS Software Engineer, Data Platform
Job Type: Full-time
About the RoleWe are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.
What you’ll do and learn
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.
Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization
Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
Excellent in interpersonal communication
What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).
Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.
Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.
Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.
Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.
Growth mindset
High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.
Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.
Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.
Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.
Always-on responsibility with balance
Qualifications
12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
Strong foundation in data structures, algorithms, and distributed systems design .
Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.
Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.
BS/MS in CS or equivalent practical experience.
The base pay range for this position is expected in the range below:
$152,400 - $247,800These jobs might be a good fit
