Senior Big Data Engineer

Position: Data Engineer III    Location: Redmond, WA 98052    Duration: 12 Months       Job Type: Contract         Work Type:  Onsite      Job Description:     Responsibilities  Build statistical models to identify patterns and trends in production testing data (telemetry, time-series) to generate correlation and predictions.  Develop an understanding of the manufacturing execution system with its multiple sources of data and relationship. Analyze the production system data and derive insights into current bottlenecks and areas of improvement, along with specific actionable recommendations  Collect, format and report periodic snapshots of the production and test data for consumption by other program managers and engineers.  Synthesize analysis and communicate insights and recommendations to various audiences  Work closely with technical program managers and engineers to provide data insights that help explain anecdotes from the manufacturing floor, and provide actionable resolution steps  Create templates and scripts to help scale and automate our ability to ingest, analyze and enable quick data reviews.  Required Skills & Experience  7+ years of related experience (data science, data engineering, data analysis, ML engineering)  4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, Minitab, etc.) experience  2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience  Very Strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE)).  Should have experience developing complex and a variety of reports.  A good candidate has strong analytical skills and enjoys working with large complex data sets.  Experience applying theoretical models in an applied environment  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 in Python, Perl, or another scripting language  Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science  Experience in aerospace, manufacturing, test processes and/or test systems development  Typical Day in the Role:    Daily Schedule:   Accelerate test data collection and reviews to help reduce testing requirements across the OISL LRUs  Simplify and automate (with scripts and standard schemas) the continuous collection and formatting of such data  Develop dashboards and visualizations to help the test triage process  Develop a continuous monitoring and alarming framework that can help inform Engineers of areas needing a deeper analysis  Partner with the continuous improvement and OISL teams to accelerate the creation of analysis and tooling to establish manufacturing statistical process controls of key LRUs and test processes  Candidate Requirements:    REQUIRED SKILLS  Years of Experience: 5 years  Leadership Principle:   Customer Obsession, Learn and Be Curious, Dive Deep, Clear communication  Top 3 must-have hard skills  5+ years of related experience (data science, data engineering, data analysis, ML engineering)  scripting languages (e.g. Python  Statistical modeling data analysis tools   

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ABOUT US: Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.  Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle.  KEY RESPONSIBILITIES: Develop and implement microservices and processes using Java and Spring Boot framework for monitoring, analyzing, and forecasting cloud spending across AWS, OCI, Azure etc. Collaborate with product teams and development teams across the organization to understand cloud usage patterns and identify optimization opportunities; both technical and functional. Provide regular reports and insights on cloud spending trends, optimization efforts, and cost-saving achievements. Work closely with development teams to optimize application performance and reduce cloud costs without impacting service quality. Participate in the design and deployment of highly available and cost-optimized cloud infrastructure solutions on platforms like AWS, Azure, GCP, or OCI. Lead initiatives to educate teams on best practices for cloud cost management and efficiency. Drive a culture of cost-awareness and financial accountability within the tech department. Requirements REQUIRED QUALIFICATIONS Bachelor's degree or higher in Computer Science, Information Technology, or a related field. Minimum 1 years of experience as a developer with cloud engineering. Proven experience as a Java Developer and in-depth knowledge of Spring Boot framework. Experience with database design concepts and data modeling for RDBMS (MySQL) or NoSQL (MongoDB, Cassandra). Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced environment. PREFERRED QUALIFICATIONS Hands-on experience with containerization technologies including Docker and Kubernetes. Proficiency in cloud platforms (e.g., AWS, Azure, GCP, OCI) with a strong focus on FinOps best practices and experience implementing cost-saving solutions. English-speaking environment, bilingual proficiency in Mandarin preferred. Benefits Salary Range: $100,000 - 140,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Analyze and understand existing code in Python or C/C++ Migrate logic to idiomatic, safe Rust while preserving functionality Adapt or port the test suite and ensure behavioral equivalence Document migration steps and technical decisions How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. Requirements You have a Bachelor's or Master’s degree in Software Development, Computer Science, or other related fields.  You have at least 3 years of professional experience with C/C++ and 1+ year of hands-on experience with Rust. You are experienced with FFI tools (bindgen, cxx) and unsafe Rust for C/C++interoperability. You bring experience testing migrated code (unit/integration/fuzz tests). You demonstrate solid understanding of systems programming (memory management, concurrency). You are skilled at refactoring legacy code and documenting migration steps. Prompt engineering experience is a strong plus. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Benefits Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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