Continuous Dataset Example Jobs in Usa

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-

The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.

This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

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• Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
  
• Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
  
• Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
  
• Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
  
• Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
  
• Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
  
• Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
  
• Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
  
• Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
  

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Relocation assistance is not provided for this role.

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• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
  

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• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
  
• 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
  
• Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
  
• Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
  
• Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
  
• Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
  
• Proficiency in Python (primary) and familiarity with Java, Scala, or R.
  
• Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
  

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5‑10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Summary of Position (Job Purpose) - Major purpose and functions of the position.

We are seeking an experienced Retail Engineer to join our team and help us drive process improvement and efficiency across our retail stores. The Retail Engineer - Store Operations’ primary responsibilities are to update and maintain our engineered labor standards platform. In addition, identify and analyze key metric data alongside current store operational processes to support workload simplification and new initiatives. This job requires problem solving skills and strong analytical capabilities, along with data management and great communication skills.

Principal Duties and Responsibilities - Primary responsibilities listed in order of importance

• Compile and upkeep relevant datasets and information crucial to store operations such as Time Studies, Labor Standards, etc.
• Become an expert in our labor standards platform (LaborPro) and ensure accurate inputs, maintenance, and application of the system.
• Skilled in work measurement, standard data, and predetermined time systems and tools (MOST) with a focus on time study expertise.
• Investigate store data and processes to identify trends, opportunities, and pain points and provide actionable recommendations.
• Collaborate with field and store management to validate and react to trends and outliers by offering feedback and problem-solving solutions to ensure resolution.
• Assist the Manager of Reporting & Analytics in monitoring store processes, building relationships with business partners, and creating tools and presentations.
• Evaluate various labor scenarios and assess the impact of any changes.
• Continuously improve processes from the backroom through checkout.
• Display proficiency in gathering, analyzing, and interpreting information and proposing solutions within budget constraints.
• Demonstrate the ability to interact effectively with various organizational levels and functions.
• Identify areas of inefficiency and waste in process elements.
• Create tools for analysis and modeling using MS Excel and PowerBI.
• Possess knowledge of statistics and probability, TimerPro or UMT, and SQL.
• Preferred experience working in a retail store environment with labor management systems.
• Develop, maintain, and implement management observation and accountability programs.
• Willingness to travel up to 25% of the time.

Minimum Requirements/Qualifications - Summary of knowledge, experience and education required.

• Bachelor's degree in Industrial Engineering or related field
• 3+ years of experience
• Strong analytical and problem-solving skills
• Proficiency in statistical methods and tools
• Experience with work measurement tools and labor standards development
• Knowledge of industrial engineering principles and techniques
• Excellent communication and collaboration skills
• Ability to work in a fast-paced environment and manage multiple projects simultaneously
• Willingness to travel as needed to stores across the country

Desired Qualifications - Summary of knowledge, experience and education required.

• 5+ years in retail, grocery, or convenience process improvement
• Master’s in Industrial Engineering or MBA is a plus.

This is not to be considered a complete list of job duties, as they may be amended or added to as needed.

Senior Analytics Engineer

Overview

A rapidly growing consumer products company is seeking a Senior Analytics Engineer to help build and scale a modern data platform. This role sits at the intersection of analytics engineering, data infrastructure, and business intelligence, enabling teams across the organization to make data-driven decisions.

The company operates a U.S.-based manufacturing environment and a strong direct-to-consumer ecommerce platform. As the organization continues to scale, the data function is being built from the ground up, creating an opportunity for a hands-on engineer to shape the architecture, pipelines, and analytics capabilities of the business.

Responsibilities

Data Platform Development

• Build, maintain, and optimize data models using SQL and DBT
• Support migration and development of a centralized data warehouse environment
• Design scalable data architecture and transformation layers
• Improve reliability, performance, and maintainability of analytics infrastructure

Data Pipeline Engineering

• Develop and maintain ETL/ELT pipelines using modern data tools
• Expand and optimize ingestion pipelines from operational systems
• Write custom workflows and integrations using Python
• Ensure data quality, monitoring, and pipeline stability

Business Intelligence & Analytics

• Develop and maintain dashboards and reporting solutions
• Enable self-service analytics for business teams
• Work directly with stakeholders to translate business needs into data solutions
• Support analytics across key functions including:
• Supply chain
• Ecommerce performance
• Marketing analytics
• Sales performance
• Forecasting and operations

Data Governance & Reliability

• Establish trusted datasets and consistent data definitions
• Improve data documentation and discoverability
• Troubleshoot data issues and analytics requests across teams
• Ensure long-term scalability of the analytics ecosystem

Required Qualifications

• 4+ years of experience working with SQL
• 4+ years of experience using DBT
• 4+ years of experience building dashboards and BI solutions
• Experience building and managing data pipelines and ETL workflows
• Strong understanding of data warehousing concepts
• Ability to work independently in a fast-paced, evolving environment
• Strong communication skills and experience collaborating with non-technical stakeholders

Preferred Qualifications

• Experience working with BigQuery
• Experience building dashboards in Looker
• Pythonfor data workflows or ingestion pipelines
• Experience with ecommerce analytics
• Experience analyzing Shopify or similar commerce platforms
• Experience working with manufacturing or supply chain data

Ideal Candidate Background

Strong candidates often come from:

• Ecommerce organizations
• Manufacturing companies
• Businesses operating direct-to-consumer sales models
• Mid-sized companies where individuals have broad ownership of the data stack

Experience analyzing

• Ecommerce sales performance
• Supply chain operations
• Marketing attribution
• Product and operational data

Work Environment

• Hybrid work model with 2–3 days per week in office
• Collaboration with a small technical team including IT and data science
• Fast-paced environment with significant opportunity to influence the company’s data strategy
• High level of autonomy and ownership over technical solutions

What We're Looking For

• Curious and evidence-driven
• Comfortable working with ambiguity
• Self-directed and proactive
• Passionate about learning new technologies
• A strong problem solver who enjoys building scalable systems

Job Description

LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

Job Title: Digital Product Coordinator

Location: Fort Worth, TX (Hybrid/3 days a week)

Duration: 9+ months

Pay Rate: $61.60/hr (W2)

Schedule: 3 days/week onsite

Top Skillsets: · Digital product coordination · Marketing product coordination · Adobe Analytics · SQL

The Product Coordinator, Technology Products supports the product development lifecycle in the Commercial Division. You'll triage issues, conduct research, and deliver data-driven insights to shape backlog prioritization and strategy. Expect close collaboration with cross-functional teams, test support, and regular stakeholder communication to drive product success and continuous improvement.

WHAT YOU'LL DO

• Provide data analysis and insights to inform product strategy and backlog prioritization
• Support product playbacks with focus on key metrics
• Assist advertising campaign management and new campaign launches (testing customer experience, creative placements, URLs)
• Conduct product meetings; complete tracking/analysis reports for management and business owners on progress, issues, risks
• Partner with business, IT, and leadership to ensure product success
• Review/support test data, plans, and scenarios
• Develop/maintain business rules for the product
• Work across time zones as needed
• Triage product issues to refine the backlog
• Perform bug/defect testing and research

ALL YOU'LL NEED FOR SUCCESS

Minimum Qualifications

• Bachelor's degree in technology, business, aviation management, communications, marketing, or related field
• 1+ years relevant work experience

Preferred Qualifications

• 3+ years in aviation, digital, or campaign management

Required Skills

• Digital product coordination, marketing product coordination
• Adobe Analytics, SQL
• Knowledge of Cognos, Mosaic, Tableau, PowerBI
• Proficient in Word, Excel, PowerPoint, Teams, SharePoint, Rally (or similar product/project tracking tools)
• Conceptualize, create, and present analyses/strategies to leadership
• Strong interaction skills across all employee levels
• Build consensus and deliver team results
• Critical/analytical thinking to draw insights from large datasets
• Work under pressure, prioritize, meet deadlines, balance details with big picture, stay flexible
• Familiarity with corporate policies and processes

know more about current opportunities at LeadStack , please visit us on Should you have any questions, feel free to call me on (513) 3184502 or send an email on

Title: Product Manager
Location : Rockville, MD or McLean, VA
Target Start Date : ASAP
Type: contract
Pay Rate: DOE

The Product Manager is responsible for defining product vision, strategy, roadmap, and feature development for a portfolio of market surveillance products. This portfolio includes a large set of existing surveillance patterns as well as machine learning and deep learning models, some of which are undergoing redesign.

This role requires a highly autonomous product leader who can manage multiple feature initiatives simultaneously while partnering closely with business stakeholders to understand regulatory needs, operational pain points, and opportunities for improvement. The Product Manager will maintain product backlogs, prioritize enhancements, define roadmaps, and ensure the successful delivery of new surveillance capabilities and enhancements to existing systems.

The role also requires familiarity with financial market data sources, including audit trail data, exchange data, and reference data, and how these datasets support regulatory and compliance objectives.

Product Strategy & User Insight

• Develop a deep understanding of the business domain, regulatory objectives, and available data sources.

• Define product vision, strategy, and requirements based on user needs, regulatory priorities, and data insights.

• Conduct research, analyze user feedback, and leverage data analysis to identify gaps and opportunities for improvement.

• Translate insights into product requirements and actionable development initiatives.

Product Portfolio & Roadmap Management

• Own and manage the product roadmap for surveillance capabilities.

• Evaluate trade-offs and prioritize features based on user value, regulatory impact, and resource constraints.

• Partner with business stakeholders, engineering, architecture, and UX teams to ensure alignment and successful delivery.

• Coordinate with dependent teams across the organization to support integrated product development.

Product Planning & Delivery

• Lead product planning by developing requirements, including user stories, acceptance criteria, and use cases.

• Maintain a prioritized product backlog aligned with product strategy and delivery capacity.

• Collaborate with UX/UI teams to guide user experience design.

• Participate in development reviews, validate acceptance criteria, and ensure product quality.

• Identify risks or issues that may impact delivery timelines or product performance and develop mitigation plans.

Product Launch & Adoption

• Lead product launches and coordinate with stakeholders on rollout planning.

• Facilitate user acceptance testing (UAT) where required.

• Develop supporting documentation and training materials.

• Track launch metrics, gather user feedback, and drive iterative improvements.

Product Operations & Continuous Improvement

• Monitor product performance, usage trends, and operational metrics.

• Work with internal users and stakeholders to resolve product issues and identify enhancement opportunities.

• Evaluate new metrics and monitoring capabilities to improve product performance and visibility.

• Represent the product team in stakeholder discussions and business reviews.

Team Development

• Provide guidance and mentorship to junior product management team members.

• Stay informed on industry trends, regulatory developments, and product management best practices.

• Strong analytical and problem-solving skills with the ability to interpret complex data.

• Experience using database queries (e.g., SQL) and data analysis to inform product decisions.

• Excellent written and verbal communication skills.

• Ability to manage multiple priorities and make decisions in complex environments.

• Strong organizational skills and attention to detail.

• Self-starter with the ability to dive deeply into business processes and technical capabilities.

Required

• Bachelor's degree in Business, Finance, Engineering, Communications, or a related field (or equivalent experience).

• 5+ years of experience in product management, compliance, business analysis, program management, or related roles.

• Experience with database querying (e.g., SQL) and data analysis.

• Experience working within the software development lifecycle.

• Demonstrated ability to collaborate across teams in large organizations and work closely with leadership.

Preferred

• Experience with broker-dealer operations, market surveillance, or regulatory compliance.

• Experience guiding cross-functional teams and influencing stakeholders.

• Hybrid work environment with remote and in-office collaboration.

• Occasional extended hours may be required.

Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at .

We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Responsibilities

• Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
• Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
• Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
• Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
• Ensure data solutions and data sources meet quality, security, and compliance standards.
• Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
• Provide technical training, documentation, and ongoing support to end users of data automation systems.
• Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.

Qualifications

• A bachelor's degree or higher in computer science, information systems, or a related field.
• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
• Experience with workflow orchestration tools such as Cloud Composer or Airflow
• Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
• Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
• Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
• Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
• Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
• Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
• Hands-on experience with IBM DataStage and Alteryx is a plus.
• Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
• Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
• Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
• Familiarity with data modeling tools.
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.

Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.

Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

• Develop, manage, and maintain highly detailed Revit models for show-set and scenic environments
  
  
• Lead Rhino-to-Revit model integration workflows
  
  
• Convert 2D AutoCAD documentation into fully coordinated Revit 3D BIM models
  
  
• Build parametric families and custom Revit components as needed
  
  
• Ensure model integrity, organization, performance, and BIM compliance
  
  

• Integrate A/V, lighting, show control, mechanical, and electrical systems into Revit models
  
  
• Coordinate with engineering and technical disciplines to ensure clash-free integration
  
  
• Support BIM/IPD workflows and collaborative model-sharing environments
  
  
• Participate in model reviews and cross-disciplinary coordination meetings
  
  

• Produce coordinated drawing packages directly from Revit models
  
  
• Develop detailed construction documentation aligned with company standards
  
  
• Manage evolving design inputs and incomplete data while maintaining model accuracy
  
  
• Track progress against schedules and project milestones
  
  

• Partner with Senior and Principal Designers to define scope and modeling strategy
  
  
• Support development of BIM execution plans and modeling standards
  
  
• Coordinate with vendors and contractors as required
  
  
• May support field assignments or installation coordination when necessary
  
  

• 8+ years of professional experience in Revit modeling within entertainment, architecture, themed environments, or related industries
  
  
• Advanced proficiency in Revit (modeling, documentation, family creation, coordination)
  
  
• Strong experience working in hybrid AutoCAD/Revit environments
  
  
• Experience integrating A/V, lighting, show control, and MEP systems within BIM models
  
  
• Proven experience producing coordinated construction documents from Revit
  
  
• Experience supporting BIM/IPD workflows
  
  
• Strong spatial reasoning and 3D coordination skills
  
  
• Ability to manage large datasets and evolving design inputs
  
  
• Excellent communication skills and proactive work style
  
  
• Willingness to travel for extended periods when required
  
  

• Themed entertainment, immersive exhibit, or attraction experience
  
  
• Experience with Rhino-to-Revit workflows
  
  
• Experience coordinating mechanical and electrical systems in entertainment environments
  
  
• Experience supervising vendors or coordinating with field contractors
  
  
• Experience modeling complex rockwork or organic scenic elements within Revit
  
  
• Familiarity with large-scale experiential or attraction installations
  
  

Estimated Min Rate: $84.00
Estimated Max Rate: $120.00

What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann 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, national origin, disability, or status as a protected veteran.

Visit to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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