The Data Engineering team at Roblox plays a crucial role in enabling the company's success by developing and maintaining highly leveraged Core Data Sets, frameworks, and tooling to support the growing demand for analytics. 

As a Principal Data Engineer, you will work to define the data ontology for all of Roblox, establish best practices and standards for data operations and lifecycle management, design and build analytics tooling and frameworks, and influence event instrumentation. Additionally, this role is highly cross-functional, requiring close collaboration with Data Science, Experimentation, and Machine Learning teams to understand customer requirements and analytics applications, as well as with Data Infrastructure and Storage teams to develop integrated solutions. 

Join us and be a part of a dynamic team driving innovation and growth at Roblox.

You Will:

• Partner with Data Science, Data Platform, Product, and Engineering to collect requirements to define the data ontology for all of Roblox
• Lead and mentor a growing team of Data Engineers to support Roblox's ever-evolving data needs
• Design, build, and maintain efficient and reliable batch and streaming data pipelines to model business entities as core data sets
• Develop scalable frameworks and tooling to automate analytics workflows and streamline users interactions with data products 
• Establish and evangelize best practices for data operations and lifecycle management

You Have:

• 8+ years of professional experience working building scalable ETL pipelines on industry standard ETL orchestration tools (Airflow, Dagster, Luigi, Google Cloud Composer, etc.) with deep expertise in SQL, PySpark, or scala.
• 3+ years leading data engineering development directly with business or data science stakeholders
• Built, scaled, and maintained Multi-Terabyte data sets and have an expansive toolbox for debugging and unblocking large scale analytics challenges (skew mitigation, sampling strategies, accumulation patterns, data sketches, etc.)
• Experience with at least one major cloud's suite of offerings (AWS, GCP, Azure).
• Developed or enhanced ETL orchestrations tools or frameworks
• Worked within standard GitOps workflow (branch and merge, PRs, CI / CD systems)

Linqia is the leader in the growing influencer marketing industry. At Linqia, we partner with the world’s largest brands including Danonne, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win. At Linqia, you’ll be working with others who are passionate about marketing in a fun, fast-paced and data-driven environment.

Job Summary:

The Video Editor is responsible for creating visually appealing and engaging video content for a variety of purposes, such as marketing campaigns, social media platforms, instructional videos, and more. They must be skilled in using video editing software, have a creative eye, and be able to work collaboratively with other members of the video production team. 

Contract to hire

Key Responsibilities:

• Edit raw video footage and audio files into a finished product that meets project specifications
• Add music, sound effects, and other elements to enhance the video
• Collaborate with the producer and director to understand the project goals and requirements
• Create motion graphics and incorporate other visual elements into the video
• Ensure the final product meets quality standards and is delivered on time
• Stay up to date with new video editing technologies and techniques to continuously improve skills and knowledge
• Manage project files and archives to ensure efficient organization and retrieval
• Communicate effectively with clients or stakeholders to ensure their needs are met
• Handle multiple projects and deadlines simultaneously

Requirements:

• Proven experience as a video editor, with a strong portfolio of work
• Proficiency in video editing software, such as Adobe Premiere Pro, Final Cut Pro, or Avid Media Composer
• Knowledge of video compression, encoding, and delivery standards
• Familiarity with motion graphics software, such as After Effects, is a plus
• Strong attention to detail and ability to work independently and collaboratively
• Excellent communication and problem-solving skills
• Ability to work efficiently under tight deadlines and manage multiple projects simultaneously
• Bachelor's degree in film, video production, or related field is preferred but not required

This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Job Details 

We’re hiring a Senior Backend Engineer to be a part of one of our core teams building the backend for Openly's insurance platform. You will play an essential role in designing, building, testing, and maintaining the services and technology that power our insurance offering and customer experiences.

Key Responsibilities 

• Collaborate with internal and external partners to develop the core systems and create APIs that power our best-in-class user experiences.
• Build out our internal tooling and APIs to make business and engineering processes easier, faster, and safer.
• Implement systemic changes to align existing systems with current architectural goals.
• Integrate with external services to manage payments, documents, and claims.
• Integrate with data providers to source real-time information on hundreds of data points, including property characteristics and risk profiles.
• Provide subject matter expertise, mentorship, and support to individuals on your team.
• Collaborate on architectural discussions with your team.
• Contribute to important architectural and operational decisions like microservices vs. monoliths, deployment techniques, technologies, policies, etc.
• Participate in daily stand-ups, weekly 1:1's, and biweekly retros.

Our stack

• Backend: Go & Postgresql   
• Frontend: Browser-based, VueJS, Webpack, Nuxt &, Tailwind  
• Research/Data Science: R, ArcGIS, Jupyter Notebooks, & Python  
• Data: GCP GCS, BigQuery, Composer/Airflow, Cloud Functions, Postgres, SQL, Python, Go, Aiven Debezium and Kafka, Fivetran  
• Infrastructure: Google Cloud, specifically Cloud Run, Kubernetes, Pub/Sub, BigQuery, and CloudSQL, managed with Terraform. We use GitHub for code hosting, DataDog for monitoring, and CircleCI for running our CI/CD pipelines.  
• Remote work tools: Slack, Zoom, Donut  

Requirements

• At least 4 years of professional/production experience developing backend web-stack applications.
• Professional experience leveraging Go in prior roles. Please note, part of the interview process includes completing a code challenge in Go.
• Sustained track record of creating improvements in business-critical systems around stability, performance, and scalability.
• Demonstrated ability to deliver complete systems from start to finish in a reasonable time frame with little or no supervision.
• Strong interpersonal skills, such as an ability to explain complex technical concepts to non-technical audiences.

#LI-DNI

Scopely is a global gaming company whose mission is to inspire play every day. Niantic (a division of Scopely) inspires people to explore the world together through products that promote exercise, exploration, and real-world social interaction.

We’re seeking a strategic, impact-driven Staff Data Scientist to partner with Marketing and Product. You will lead scalable measurement frameworks, predictive models, and AI-powered analytics to shape user acquisition, engagement, monetization, and long-term player value.

As a senior IC, you’ll define data strategy across marketing and product analytics, elevate experimentation and causal inference, and leverage modern AI tools to accelerate insights and decision-making. You’ll collaborate with Marketing, Product, Engineering, Finance, and Executive Leadership to drive measurable business outcomes.

Responsibilities

Marketing & Product Analytics

• Design scalable measurement frameworks across acquisition, retention, monetization, and lifecycle marketing.
• Build and productionize advanced models (LTV, churn, propensity, incrementality, MMM) to inform investment and roadmap decisions.
• Partner with Marketing and Finance to optimize budget allocation and ROI.

Experimentation & Causal Inference

• Raise experimentation standards (A/B testing, quasi-experimental methods, incrementality).
• Translate privacy-constrained attribution environments (e.g., SKAdNetwork, aggregated reporting) into actionable insights.

Data Engineering & Infrastructure

• Architect and maintain scalable ETL pipelines for marketing and product data (e.g., Airflow, Composer).
• Design optimized data models and warehouse schemas for high-performance analytics.
• Build reusable data assets, feature stores, and modular analytics frameworks.

AI-Driven Analytics

• Apply modern AI/ML tools (LLMs, coding assistants, automated workflows) to accelerate modeling and analysis.
• Integrate AI into analytics workflows to improve speed, quality, and reproducibility.
• Promote technical excellence and responsible AI adoption.

Qualifications

• 7+ years in data science supporting Marketing, Growth, UA, or Product Analytics (gaming/mobile preferred).
• Proven experience building production-grade predictive models (LTV, churn, propensity, MMM) that drive impact.
• Strong expertise in experimentation, causal inference, and marketing measurement.
• Advanced SQL and Python skills, including scalable ETL and production workflows.
• Experience with BI tools (e.g., Looker) and enabling self-serve analytics.
• Ability to influence senior stakeholders and drive executive-level adoption.

Plus If…

• End-to-end delivery experience (telemetry, QA, ETL, modeling, deployment, dashboards).
• Experience with large-scale datasets.
• Familiarity with BigQuery, Composer, and Airflow.

Assistant Editor, Feature Animation

The Assistant Editor is responsible for technical and organizational editorial work from pre-production through post production. Assistant Editor is responsible for maintaining an efficient editorial pipeline and assisting editors. This position is covered by The Animation Guild.

Sony Pictures Animation is a pre-production animation studio based in Los Angeles, California, creating both feature animation and animated series with artists from around the world. We pride ourselves on empowering filmmakers to lead the creative process, and allowing the hand of the artist to be truly felt, with the goal of producing bold and innovative visual storytelling.

Responsibilities:

• Maintain Avid project and keep files organized.
• Manage and process storyboards using Flix. Also import layout, animation, and lighting shots.
• Import, log and prep dialogue recordings for editors: scratch dialogue, production recording sessions and ADR.
• Ingesting assets from sound dept, music dept, etc, and keeping them organized
• Output movie files for various uses including turnovers for sound department, digital intermediate, and music departments.
• Organizing sound effects and music.
• Assist the editors with Avid builds in preparation for screenings and QC of outputs.
• Responsible for publishing to production including managing EDLs and change notes.
• Provide information to production that is timely and accurate.

Qualifications:

• 1-2 years experience in animation editorial.
• High degree of proficiency in Avid Media Composer.
• Excellent organization skills with great attention to detail.
• Understanding of feature animation pipeline and workflows.
• Ability to multi-task and meet deadlines while working under tight schedules.
• Strong teammate with good interpersonal and interpersonal skills.
• After Effects, Photoshop, ProTools experience a plus.

The anticipated base salary for this position is $2,400/week to $2,800/week. This role qualifies for benefits pursuant to the collective bargaining agreement. The actual salary offered will depend on a variety of factors.

To apply, please include a resume and a link to your portfolio. Please make sure to include any passwords to your work in your cover letter and/or in your resume.

Sony Pictures Animation is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics.

ABOUT THIS OPPORTUNITY

We are looking for a Data Scientist who views machine learning as a product, not just a research project. You will be a foundational member of our AI team, responsible for designing, building, and deploying sophisticated models that solve complex business problems. You aren't just an expert in XGBoost or Transformers; you are an expert in building the pipelines that make these models reliable, scalable, and impactful.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• End-to-End Model Development: Design and implement the full ML lifecycle—from exploratory data analysis (EDA) and feature engineering to model selection, tuning, and validation.
• GCP Architecture: Leverage the full Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, and Pub/Sub) to build robust, cloud-native ML solutions.
• MLOps & Engineering: Implement CI/CD for machine learning (CT - Continuous Training) to ensure models remain performant in production environments.
• Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for best practices in code quality and experiment tracking.
• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• 5+ years in a professional Data Science role with a track record of deploying models at scale.
• Proficiency in Vertex AI, BigQuery, Cloud Storage, and Looker. Experience with Kubeflow is a major plus.
• Expert-level Python (pandas, scikit-learn, PyTorch/TensorFlow), Spark, and advanced SQL.
• Deep understanding of statistics and ML theory (e.g., Gradient Descent, Bias-Variance tradeoff, Bayesian inference).
• Experience with ETL/ELT processes, specifically using dbt.
• A strong curiosity for exploring new technologies, including AI
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.

Our Tech Stack

• Data Warehouse: BigQuery
• Orchestration: Airflow (Cloud Composer)
• Modeling: Vertex AI Pipelines, JupyterLab
• Deployment: Docker, GKE (Google Kubernetes Engine)

Pro Tip for the Candidate: We value "clean code" as much as "smart math." If you treat your notebooks like production scripts and your Git history is a work of art, you’ll fit right in.

What Sets You Apart

• The "Product" Mindset: You understand that a model with 99% accuracy is useless if it costs more to run than the value it creates.
• Infrastructure as Code: You are comfortable with Terraform or similar tools to manage your cloud resources.
• Communication: You can explain the "why" behind a complex neural network architecture to an executive without using jargon.

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $126,000 to $149,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Application Deadline is [day of week], [month] [day] at [0:00 pm] MST

Position open until filled. 

#LI-Remote

Your Role: We are seeking a Senior Data Platform Engineer to design and develop the data management layer for our platform to ensure its scalability as we expand to larger customers and new jurisdictions. At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision-making for both internal and external users. We process hundreds of millions of events daily, with this number growing as we onboard new customers.

We prioritize open-source solutions in our data management approach, leveraging a Google Cloud Platform (GCP) foundation for our data infrastructure. This includes batch/stream ingestion, transformation, and consumption layers for BI, internal use, and external third-party sinks. Additionally, we oversee data experimentation, cataloging, and monitoring and alerting systems.

Our team is 100% distributed and remote.

Responsibilities:

• Design and oversee key forward- and reverse-ETL patterns to deliver data to relevant stakeholders.
• Develop scalable patterns in the transformation layer to ensure repeatable integrations with BI tools across various business verticals.
• Expand and maintain the Alpaca Data Lakehouse architecture's constantly evolving elements.
• Collaborate closely with sales, marketing, product, and operations teams to address key data flow needs.
• Operate the system and manage production issues in a timely manner.

Must-Haves:

• 7+ years of experience in data engineering, including 2+ years of building scalable, low-latency data platforms capable of handling >100M events/day.
• Proficiency in at least one programming language, with strong working knowledge of Python and SQL.
• Experience with cloud-native technologies like Docker, Kubernetes, and Helm.
• Strong hands-on experience with relational database systems and object storage implementations like Apache Iceberg.
• Strong hands-on experience with Google Cloud Platform and its various data-related services (Composer, Dataproc, Datastream, etc.)
• Experience in building scalable transformation layers, preferably through formalized SQL models (e.g., dbt).
• Ability to work in a fast-paced environment and adapt solutions to changing business needs.
• Experience with ETL orchestrators / frameworks like Apache Airflow and Airbyte.
• Production experience with streaming systems like Kafka.
• Exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC), like Terraform.
• Deep knowledge of distributed systems, storage, transactions, and query processing utilizing open-source distributed query engines like Trino (formerly PrestoSQL).
• If you're passionate about data engineering and thrive in a dynamic startup environment, we'd love to hear from you! 

Real people. Real service.

At SupplyHouse.com, we value every individual team member and cultivate a community where people come first. Led by our core values of Generosity, Respect, Innovation, Teamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers.

We are looking for a Sr. Data Architect to join our IT Team. This individual will report into our Vice President of IT, and will be responsible for defining and driving our enterprise data architecture strategy while remaining hands-on in delivering scalable, reliable data products. This role operates at a company-wide scope, shaping long-term data platform direction, governance standards, and scalable architecture patterns that enable analytics, AI/ML, operational systems, and business intelligence. As a strategic individual contributor, the Sr. Data Architect will partner with executive leadership, Engineering, Analytics, Security, and Product teams to ensure data is reliable, secure, governed, and positioned as a competitive advantage.

This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington.

This position requires travel to our headquarters in Melville, NY 3 times per year for internal meetings and team building activities. Additional travel may be required based on department and company needs. We reimburse reasonable and necessary travel expenses, and you’re also welcome to work on-site anytime beyond these visits – our doors are always open.

Role Type: Full-Time, Exempt

Location: Remote 

Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. EST

Base Salary: $145,000 – $180,000 per year

Responsibilities: 

• Design, build, and maintain scalable ELT/ETL pipelines into BigQuery for core domains (orders, customers, products, inventory, fulfillment, procurement, marketing)
• Build orchestration patterns with strong operational rigor (retries, idempotency, backfills, SLAs/SLOs, incident response) to enable reliable delivery
• Implement data quality and testing frameworks (freshness checks, anomaly detection, unit/integration tests) and standardize monitoring/observability
• Standardize CI/CD and infrastructure-as-code patterns for data systems and guide teams on best practices for ingestion, transformation, and orchestration
• Lead modernization initiatives such as legacy warehouse to cloud lakehouse migrations and platform upgrades
• Create and own curated, analytics-ready datasets and models (dimensional/conformed, semantic-ready layers) that make reporting fast, consistent, and self-serve
• Establish and enforce standards for conceptual, logical, and physical data modeling
• Oversee domain-driven modeling and data product design through reusable patterns and reference implementations
• Establish data architecture standards including modeling conventions, schema evolution/versioning, incremental loading strategies, and warehouse performance patterns
• Define and evolve the enterprise data architecture vision aligned to business strategy, including canonical data models, domain boundaries, and integration patterns
• Lead architecture decisions for data warehousing, lakehouse, streaming, MDM, and operational data platforms
• Evaluate and select strategic data technologies and vendors
• Partner with Security and Legal to design privacy and compliance architectures (GDPR/CCPA/SOC2-aligned approaches) and establish enterprise governance frameworks
• Build governance fundamentals including documentation, lineage/metadata, access controls, and PII handling
• Act as the escalation point for data architecture decisions and mentor senior engineers/architects through reviews, templates, and best practices
• Partner with application engineering and analytics stakeholders to define data contracts and ensure reliable upstream/downstream integrations
• Translate business capabilities into scalable data platform solutions
• Optimize cost and performance across BigQuery workloads (query optimization, partition pruning, clustering strategies, and workload management where applicable)
• Drive adoption of emerging capabilities (real-time analytics, AI enablement, semantic layers, data mesh) and develop multi-year data roadmap and maturity models
• Operate at enterprise scope across multiple business domains
• Influence strategy beyond the immediate team and set technical direction that others follow

Requirements:

• Bachelor's degree in CS, Engineering, Information Systems, or a related field
• ​A minimum of 10 years of experience in Data Engineering, Architecture, or Platform Engineering
• A minimum of 5 years of experience designing enterprise-scale cloud data architectures (AWS, Azure, or GCP)
• Expertise in data warehousing, Lakehouse architecture, distributed processing, streaming, and enterprise data modeling (Kimball, Inmon, Data Vault, and/or domain-driven design)
• Strong understanding of data governance, metadata management, and security architecture
• Experience leading cross-functional architecture initiatives
• Proven ability to influence senior stakeholders and executives

Preferred Qualifications:

• A minimum of 7 years of experience in Data Engineering, Analytics Engineering, or Data Platform roles with significant production ownership
• Deep experience with GCP services relevant to data engineering (e.g., Cloud Storage, Pub/Sub, Dataflow, Cloud Composer, Cloud Functions/Run, Secret Manager, IAM)
• Experience with BigQuery best practices (partitioning/clustering, incremental strategies, performance tuning, cost controls)
• Strong understanding of BI consumption needs (star schema design, incremental refresh considerations, semantic consistency/metrics definitions)
• Experience implementing data mesh or domain-oriented ownership models, AI/ML feature platform exposure, regulated environment experience, and strong cloud cost management acumen
• Industry certifications (AWS Solutions Architect, Azure Architect, GCP Professional Architect)

Why work with us: 

• We have awesome benefits – We offer a wide variety of benefits to help support you and your loved ones. These include:
  • Comprehensive and affordable medical, dental, vision, and voluntary life insurance options
  • 401(k) with up to 4% company match
  • Paid vacation, sick time, and holidays
  • Company-paid basic life insurance and long-term disability
  • Discounted auto, home, and pet insurance programs
  • Flexible Spending Account (FSA)
  • Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP)
  • Company-provided equipment and one-time $250 work from home stipend
  • $750 annual professional development budget
  • $25 monthly Grubhub credit
  • Company rewards and recognition program
  • And more!
• We empower ownership – We all contribute to our success and we all share in it. Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company’s growth and accomplishments.
• We promote work-life balance – We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. Look out for our wellness initiatives and ask about our Flex-Time Policy!
• We support growth – We encourage you to embrace continuous learning and take on new challenges. In an exciting and evolving industry, we provide opportunities for career growth through our annual merit and bonus opportunities, hands-on training, diversity and inclusion initiatives, internal mobility options, and professional development budget.
• We give back – We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee-nominated contributions, support for non-profit organizations, Volunteer Paid Time Off, and more.
• We listen – We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day.

Check us out and learn more at: https://www.supplyhouse.com/our-company!

Additional Details: 

• Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations.
• Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse.com will not sponsor applicants for work visas.
• SupplyHouse.com is an Equal Opportunity Employer. We welcome and encourage individuals of all backgrounds, experiences, and perspectives to apply. Employment decisions are based on qualifications, merit, and business needs.
• To ensure fairness and trust in our hiring process, we ask that all application materials, assessments, and interview responses reflect your own thinking and perspective. You may use AI tools to assist in preparing your responses, as long as this use is clearly disclosed and you can speak authentically to your ideas and work. Our focus is on honesty, judgment, and how you approach problem-solving. We appreciate your transparency and look forward to learning more about your skills.
• We are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations.
• All emails from the SupplyHouse team will only be sent from an @supplyhouse.com email address. Please exercise caution if you receive an email from an alternate domain.