Engineering Jobs in Oakland Ca Remote
82 positions found — Page 3
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, machine learning, statistics, or related field
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
#LI-SM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$163,418—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Business Overview
KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary
We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.
As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.
Responsibilities
- Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
- Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
- LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
- Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
- Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
- Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.
Required Skills & Experience
- 12+ years of software engineering experience building production-grade applications.
- 7+ years of experience with Java (Python experience strongly preferred).
- 3+ years of experience leading or managing engineering teams.
- Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
- Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
- Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
- Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
- Strong expertise in GCP and integrating AI services with LLM foundational models.
- Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
- Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
- Comfortable working in Agile/Scrum environments with cross-functional teams.
Desired Skills & Experience
- Experience with context engineering and fine-tuning AI/LLM outputs.
- Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
- Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
- Experience in enterprise-grade security and compliance frameworks.
Wage and Benefits
We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.
Employment Transparency
It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.
For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .
Salary Range$180,000—$200,000 USDAbout Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Team & Mission
The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.
Role Summary
We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.
What you'll do:
- Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
- Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
- Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
- Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
- Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
- Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
- Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
What we're looking for:
- BS+ in Computer Science (or related field) or equivalent practical experience.
- 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
- Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
- Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
- Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
- Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
- Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-KK6
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$177,185—$364,795 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Pinterest is seeking an Engineering Manager to lead our User Understanding team. This team builds and maintains the data and backend systems that drive user modeling, personalization and recommendations-impacting hundreds of millions of users every day. You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. We're looking for a leader with deep infrastructure expertise, a passion for personalization and ML-driven experience, and a strong record of delivering ML-enabling platforms at scale.
What you will do:
- Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
- Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features.
- Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics.
- Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
- Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.
- Foster a collaborative, inclusive, and high-performing team culture.
What we're looking for:
- 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems.
- 2+ years of people management experience leading engineering teams.
- Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems.
- Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
#LI-AK7
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,308—$389,753 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
We offer 2 internship start dates:
- May 18, 2026 - August 7, 2026
- June 15, 2026 - September 4, 2026
What you'll do:
- Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
- Collect, analyze, and synthesize findings from data and build intelligent data-driven models
- Write clean, efficient, and sustainable code
- Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
- Scope and independently solve moderately complex problems
- Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
What we're looking for:
- Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Experience in research and in solving analytical problems
- Strong communicator and team player with the ability to find solutions for open-ended problems.
- Preferred Qualifications:
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
- Interest in research and in applying ML to impactful real-world problems on the Pinterest product
Why Intern at Pinterest?
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
- This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
The salary for this position is $12,100 monthly.
#LI-HYBRID
#LI-EB1
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
BCforward is currently seeking Test Scorer in EST and CST zones.
Position Title: Test Evaluator (Remote EST/CST)
Location: Remote (Only EST & CST)
Anticipated Start Date: ASAP
Duration: 2 months
Job Type: Contract
Shift: Monday-Friday 8:30am-4:00pm
Note: Must have bachelor's degree from accredited university and must have own equipment (Computer/laptop) with Good Internet Connectivity to WFH.
Pay Rate: $18.00/hr. on W2.
Note: Must successfully pass an initial assessment
Position Overview:
The Test Scoring/Reader position involves hand-scoring tests that contain constructed responses, such as essays, math problems requiring shown work, or written answers. These responses must be scored by a live person because they cannot be evaluated mechanically.
Tests may be completed online. For online tests, scorers log into the system to review and score responses.
Scoring is based on criteria established by each State Department of Education. You will be trained in these standards and scoring methods. The first one to two days of each project are dedicated to training. At the end of training, you must pass a qualifying test to demonstrate your ability to score accurately.
Test Scorers/Readers work in a classroom-style environment led by a Scoring Director who conducts training and overseas operations.
You must be able to work the full schedule each week, as exceptions cannot be made for other commitments. The company offers a casual work environment and pleasant atmosphere.
Job Requirements:
· Bachelor's degree from an accredited university (diploma or official transcripts required)
· Ability to work the entire duration of the project
· Comfortable working at a desk and on a computer all day
· No absences permitted during the first week for any reason
Computer Requirements:
· Laptop or desktop computer
· High-speed internet
· Google Chrome
· Audio, video, and microphone capabilities
· Quiet workspace
Remote working/work at home options are available for this role.
This role focuses on the design, construction, and modification of pipeline and terminal facilities, with an emphasis on electrical and instrumentation systems(PLC's, ProLogic, Flow Meters, Acculode to Multilode) at the terminals.
The Engineer will serve as a technical specialist, developing scopes of work, engineering designs, and collaborating with interdisciplinary teams to deliver safe, efficient, and compliant projects.
Essential Duties and Responsibilities • System Design & Modification: Engineer electrical and instrumentation systems for new facilities and upgrades to existing pipeline and terminal infrastructure.
Does not need an expert in CAD • Standards Compliance: Apply NEC, NFPA, API standards, and other applicable codes to ensure safe and reliable operations.
• Control Systems Integration: Design and implement process control systems, including SCADA, PLCs, Terminal Management Systems, IT/OT considerations, and hazardous area classifications.
• Technical Documentation: Develop logic diagrams, cause-and-effect matrices, control narratives, and detailed wiring and termination drawings.
• Project Scoping: Define technical requirements and scope of work in collaboration with stakeholders.
• Electrical Engineering: Design low- and medium-voltage power distribution systems, control circuits, and instrumentation wiring for PLC's and Flow Meters.
Currently using Acculode • Procurement & Costing: Prepare equipment specifications, procurement packages, and cost estimates for budgeting purposes.
• Operational Support: Troubleshoot technical issues and assist with commissioning and Pre-Startup Safety Reviews (PSSR).
• Vendor Coordination: Review and evaluate vendor proposals for equipment purchases and modernization projects.
• Continuous Improvement: Stay current with emerging technologies and best practices in electrical and instrumentation engineering.
Experience: • Minimum 5 years of industrial experience in electrical and instrumentation design for pipeline and terminal facilities.
• Proficiency in electrical schematics, wiring diagrams, conduit layouts, instrumentation loops, and PLC hardware.
• Experience selecting electrical equipment for classified areas.
Preferred: • Professional Engineer (PE) registration.
Education: • Bachelor's degree in Electrical Engineering or Controls Engineering (or equivalent).
• Ten years of applicable experience preferred.
Skills and Competencies • Ability to interpret P&IDs, electrical one-line diagrams, and instrument drawings.
• Expertise in hazardous location wiring practices, panel design, and PLC hardware.
• Strong communication, organizational, and time-management skills.
• Advanced mathematical and analytical capabilities.
• Preferred: Familiarity with Toptech and DTN loading systems.
Work Conditions • Office/Remote-based with up to 25% travel.
• Exposure to varying weather conditions; ability to work outdoors.
• Physical requirements include lifting up to 50 lbs, climbing up to 200 ft, and working in confined spaces.
Remote working/work at home options are available for this role.
Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations.
Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
Visit us at to learn more and view our open positions.
Please apply or call one of us to learn more For further inquiries about this opportunity, please contact one of our Talent Specialists, Hema, at (63 or Sri Balan at (63 Title
- Engineer, Quality Complaint Investigation (CAPA)
- Hybrid Duration: 9 Months Location: Hybrid at Skaneateles, NY Local candidates preferred Will consider relocation candidates Only W2 candidates are eligible for this position.
Third-party or C2C candidates will not be considered.
Description: I.
SUMMARY: This description outlines the employment prerequisites and job responsibilities for the position of Engineer, Quality Complaint Investigation.
II.
ESSENTIAL FUNCTIONS: This position has primary responsibility for investigation, review, and completion of all Quality Engineering complaint issue analysis tasks utilizing various quality system inputs.
Review individual complaints and associated service data to determine risk level and complete investigation into the as determined problem code and cause codes for each complaint.
Analyze data from various quality inputs (including but not limited to: Field Corrective Action (FCA), Complaints, FDA Medical Device Reports (MDR), etc.) to determine trends and systemic issues.
Prepare and issue reports based on information analysis.
Review existing investigation reports and identify gaps for GMP compliance.
Develop strategies and plans to close the gaps in an efficient and technical manner.
Develop and communicate expectations for quality performance, continuous improvement, and process controls for marketed products.
Monitor and drive corrective action and continuous improvement activities that directly impact performance measures by performing primary investigations, conducting data analysis, and implementing corrective actions.
Conduct or lead corrective and preventive actions in manufacturing using formal problem-solving tools and documentation.
Support CAPA and maintenance activities for existing product lines.
Recommend and/or support projects for improvements to the quality system as approved by management.
III.
QUALIFICATIONS, KNOWLEDGE, AND SKILLS REQUIRED Medical Device Experience with knowledge of 21CFR820 preferred.
Investigational research skills Experience with any statistical software packages (Minitab a plus) Desired experience in the medical device industry in the development and deployment of Quality Systems, process controls, and continuous improvement methods.
Knowledge and working application of FDA cGMP; ANSI/ISO/ASQC requirements; CMDAS (optional).
Knowledge and working application of reading and understanding blueprints and technical drawings.
Demonstrated strong analytical problem-solving (Root Cause Investigations.
Display a solid technical understanding of engineering principles and procedures (e.g., CAD and its application or scheduling a series of technical tasks utilizing software-based tools).
Computer competency in Word, Excel, PowerPoint, Minitab, Access, and databases.
Ability to multitask and methodically manage projects.
IV.
EDUCATION/EXPERIENCE REQUIRED A Bachelor of Science degree in Engineering 1-3 years of Medical Device experience V.
PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee: Must be able to sit for long periods of time Must have good hand-to-eye coordination and dexterity Physical Requirements: Dynamic Lifting capability: Must have the ability to lift 40 pounds at a time.
VI.
WORK ENVIRONMENT Work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of the job.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This is a manufacturing environment regulated by the FDA and many other work rules to prevent damage to the product we manufacture.
Some of those work rules include, but are not limited to: Wearing a static protective smock at all times while in the work area Wearing a ground wrist strap and plugging that wrist strap into the working table.
Working in proximity to other employees.
Working in an environment that is temperature and humidity-controlled.
Responsibilities: Will be addressing customer complaints and leading complaints investigation.
Identify RCA.
Collaborates with the Engineer, Product service teams and follow-up on service updates.
Quality experience is preferred 2 years would be ideal.
Good to have experience in technical writing and handling class ii medical device.
Will be writing customer feedback letter addressing customer issues and root-cause findings.
Will support the functions of NCQ, CAPA, Audit.
Current team has 2 perm, 3 contract, backfill will be for the 3rd.
Getting about 1000 complaints a month, want to keep it less than 100 actions a week.
Looking for a good communicator who is good at follow-ups.
Proficiency with SAP, ETQ, Trackwise will be preferred.
Will be onsite for Team meeting, addressing complaints, once a month data trending, warehouse visits when required.
Education: Bachelors is a must have.
Interview: Remote/ virtual screening with final onsite interview.
About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond.
The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer.
DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
SAP, Medical Device, Quality Systems, EtQ
Remote working/work at home options are available for this role.
Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations.
Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
Visit us at to learn more and view our open positions.
Please apply or call one of us to learn more For further inquiries about this opportunity, please contact our Talent Specialist, Lavanya, at (224) 369-0873 Title: Sr Analytics Implementation Engineer (Web and Mobile)
- Remote Location: Remote Duration: 2 Months Only W2 candidates are eligible for this position.
Third-party or C2C candidates will not be considered Preferred Time Zone: Eastern or central preferred, but any US time zone is fine Purpose of Role The Analytics Technology branch of the Business Analytics Team focuses on data capture, tool administration, and data architecture/enablement of global web and mobile app data for client The mission of Analytics Technology is to govern, centralize, and democratize eComm data sources to enable a holistic view of our shoppers (not just buyers).
This foundation enables running analytics at scale, eComm insights, and advancing the capabilities of all analytics teams.
As an Analytics Engineer, you will: Support platform migration projects by preventing and resolving analytics tracking issues on websites and native apps.
Implement and enhance analytics tracking on all platforms.
Debug and troubleshoot configurations and integrations Adobe MobileSDK and Kotlin KMP, clearly communicating findings to responsible teams.
Lead or support the upgrade of analytics implementations ensuring data continuity, privacy compliance, and performance optimization.
QualificationsRequired Passionate about data and a champion for analytics governance and enablement to support 300 global business users.
Extensive experience with tag managers, specifically Tealium and Adobe Data Collection (Launch).
Skilled at performing and documenting beacon tests using Adobe Assurance, AEP Debugger, and Omnibug.
Reliable partner with strong communication and collaboration skills.
Expert at troubleshooting and debugging web/mobile analytics implementations.
Experience validating tagging implementations using Adobe Workspace.
Familiarity with data layers, tag management, processing rules, and mobile SDK context data variables.
Hands-on experience upgrading analytics implementations through platform and library transitions Differentiators Demonstrated experience in process improvement and documentation.
Experience with Kotlin Multiplatform for mobile analytics implementations or cross-platform tagging strategies.
Ability to create tagging business requirements and collaborate with developers.
Strong bridge between business and technical teams, with attention to detail.
Experience with workflow tools like Atlassian JIRA or Asana.
Experience extracting/analyzing hit-level data in SQL.
Working knowledge of Adobe Analytics reporting tools: Analysis Workspace, Data Warehouse, Processing Rules, and Classifications.
Experience with Kotlin Multiplatform for mobile analytics implementations or cross-platform tagging strategies Team Size: Our team has 3 existing people.
This engineer will work with Dev and Engineering teams as well.
Required Technologies: Adobe Experience Platform (AEP) Mobile SDK, AEP Assurance Preferred (Nice-to-Have) Technologies: Android development,iOS development, Kotlin Multiplatform (KMP), lifecycle and navigation-based tracking, Mobile data layer design Minimum Years of Experience Required: 3 Training Duration: 1-5 days, depending on experience.
We expect this person to contribute almost immediately Travel Requirements (If Any): None Interview Process: Group/individual interviews.
Possibly a questionnaire to pre-screen applicants About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond.
The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer.
DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
mobile SDK, Adobe Experience Platform
Remote working/work at home options are available for this role.
- Hybrid
- Direct hire!! This Jobot Job is hosted by: Brandon DeDeker Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $80,000
- $130,000 per year A bit about us: We are a boutique, progressive, and growing engineering and project management firm committed to delivering smart solutions that positively impact our clients' lives.
We are looking to add a piping designer to our growing piping group! Why join us? Exciting opportunity to work on a wide range of projects Collaborate with diverse teams of engineers from other disciplines and industries.
Manage projects to meet critical deadlines and engineering budgets.
Opportunity for professional growth and development.
Work with a team of exceptional individuals who share a passion for innovation and customer satisfaction.
Job Details Work with vendors, clients and the internal team to determine the piping design needs Responsibilities: Assist in designing and laying out projects under the guidance of a Lead Designer or Engineer.
Proficiently use AutoCAD Plant3D and/or Solid Edge for 3D modeling, utilizing provided Point Cloud 3D scans for engineering packages.
Create equipment layout, piping layout, general arrangement drawings, piping isometrics, and P&ID drawings.
Conduct fieldwork, including walk downs of current systems, locating tie-ins, and taking measurements.
Document detailed field notes that are easily understandable by others.
Design piping systems based on project scope using P&ID's and specifications, adhering to applicable design standards.
Review project parameters related to piping requirements.
Develop preliminary Bills of Materials for piping design.
Office-based work with occasional short-term field assignments.
Qualifications: Associates degree in mechanical/process design with 3-D modeling.
Preferred minimum of 8 years of experience.
Working knowledge of industry-standard drafting practices, good mechanical aptitude, and general knowledge of Piping Engineering.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
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Remote working/work at home options are available for this role.
