Data Engineer jobs at Codeworks - 3012 jobs

Role Description We're looking for a Staff Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas. This area focuses on improving key part of the core product through re-envisioning the home experience, cross platform experience, user onboarding, and building new functionality and launching high impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$203,200-$274,900 USDUS Zone 3$180,500-$244,300 USD

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana's marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands-on mentorship, elevating the team's technical bar and influencing overall business strategy through best-in-class modeling and experimental design. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines. Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Provide hands-on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops. Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably. Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space, demonstrating their potential benefits and leading their implementation. Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products. About you: Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large-scale production data science projects 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift) Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness Proven track record developing, deploying, and maintaining scalable production ML solutions and data products Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000 - $316,00. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AA1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana.

Role Description We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. Responsibilities Develop a deep understanding of customer journey phases and key business metrics Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL and large unstructured datasets such as Hadoop Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$149,200-$201,800 USDUS Zone 3$132,600-$179,400 USD

Who we are: Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers - from Fortune 500 enterprises to small businesses - across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. About the Job: As a Principal Data Platform Engineer, you will be involved and responsible for full ownership and driving key data platform initiatives and life cycle of the data management including data ingestion, data processing, data storage, querying system, cost reduction efforts towards delivering product features to internal and external Motive customers. We are looking for a technical leader in the Data Platform area who has built the full data ingestion, transformation and analytics systems over AWS and Kubernetes in multiple companies. This individual would have faced and solved multiple challenges affecting many feature areas during this process using the best practices. This individual will be responsible for contributing significantly to drive the Motive's Data Platform vision. The Data Platform team works in three areas: 1. Build scalable systems and services for data ingestion, access, processing and query to enable data driven product features. 2. Collaborate and work closely with the various stakeholders and our backend product teams to improve and add features to the platform. *This role is open to candidates in Central & East Coast time zones. What You'll Do: Work with other leaders in the Platform area to define and plan out the long term strategy for Data Platform. Design and develop scalable distributed systems and frameworks for data management Focus on addressing fault-tolerance and high availability issues, and work on scaling ingestion pipelines, improving and adding features to ETL framework while maintaining SLAs on performance, reliability, and system availability. Collaborate with engineers across teams to identify and deliver cross-functional features Participate in all aspects of the software development life cycle, from design to implementation and delivery. What We're Looking For: 8+ years Hands-on software engineering experience Backend programming skills including multi-threading, concurrency, etc and proficient in one or more of Python Strong CS fundamentals including data structures, algorithms, and distributed systems Experience in designing, implementing, and operating highly scalable software systems and services Experience building systems using technologies like Apache Kafka, Apache Spark, Airflow, Kubernetes Excellent troubleshooting skills and track record of implementing creative solutions Hands on experience with containerized platforms like Docker and Kubernetes BS in Computer Science or a related field; Masters preferred Excellent verbal and written skills. You collaborate effectively with other teams and communicate clearly about your work. Pay Transparency Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits. The compensation range for this position will depend on where you reside. Motive uses three geographic zones to determine pay range. For this role, the compensation ranges are: San Francisco, California$189,000-$236,000 USDU.S. metropolitan areas: Los Angeles, San Diego, New York City Area, Seattle, Washington D.C.$181,000-$226,000 USDOther locations in the United States$164,000-$205,000 USD Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here. UK Candidate Privacy Notice here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

Do you get a thrill from solving puzzles, making messy data make sense, or building systems that just work? Do you love talking shop about pipelines and cloud platforms-but also want to collaborate with kind, curious people who care about doing great work together? You might be a great fit for our Data Engineering team. At InterWorks, we help clients turn their data into something powerful, useful, and even beautiful. As a Data Engineer, you'll be right in the middle of that mission-designing robust data systems, unifying messy data sources, and building pipelines that fuel meaningful insights. You'll work alongside analysts and consultants, helping organizations move from scattered data to smart, scalable infrastructure. Want to work somewhere where smart people care deeply and get things done with a little style? You've come to the right place. Location Preferences: We'd love for you to join us from one of our offices in OKC, Tulsa, or Stillwater or remote work near the Raleigh-Durham North Carolina area is preferred. Salary Range: $90,000-150,000, depending on experience and qualifications What You'll Do Build modern, scalable data pipelines that keep the data flowing-and keep our clients happy Design cloud-native infrastructure and automation that supports analytics, AI, and machine learning Unify and wrangle data from all kinds of sources: SQL, APIs, spreadsheets, cloud storage, and more Develop ETL/ELT frameworks that improve code quality and make things easier for your teammates Apply strong data modeling principles to support everything from dashboards to data science Collaborate closely with other InterWorkers and client teams to understand what they really need Write clear documentation, contribute to design decisions, and share what you learn Bring a thoughtful, problem-solving mindset to every project What You'll Need Must-Haves Solid SQL skills (and the curiosity to keep leveling up) Strong experience with ETL/ELT workflows (GUI tools or code-based-either works!) A clear understanding of data modeling best practices Deep understanding of data quality, governance, and observability principles and practices Working knowledge of DevOps concepts Experience with CI/CD pipelines Excellent communication skills-you can explain tech to humans A passion for delivering smart, thoughtful, client-centered solutions A love for learning new tools, frameworks, and approaches 5+ years of professional experience in a data engineering or technical consulting role Flexibility and comfort in fast-changing environments Nice-to-Haves Experience with cloud platforms (AWS, Azure, GCP) Familiarity with tools like Matillion, Fivetran, dbt, or Snowflake Exposure to modern data warehouses: BigQuery, Redshift, Databricks, etc. Knowledge of Python or scripting for automation An interest in AI and how it's shaping the future of data engineering A background in software engineering or integration work Why InterWorks InterWorks is a people-focused tech consultancy that empowers clients with customized, collaborative solutions, and we love pursuing innovation alongside people who inspire us. Our approach to work and community is unique and unconventional-just like us-and that's the way we want it. The only thing missing is you. At InterWorks, we value unique contributions, our people are the glue that holds our business together. We're always looking for the right people, and we could be your perfect fit.

Do you get a thrill from solving puzzles, making messy data make sense, or building systems that just work? Do you love talking shop about pipelines and cloud platforms-but also want to collaborate with kind, curious people who care about doing great work together? You might be a great fit for our Data Engineering team. At InterWorks, we help clients turn their data into something powerful, useful, and even beautiful. As a Data Engineer, you'll be right in the middle of that mission-designing robust data systems, unifying messy data sources, and building pipelines that fuel meaningful insights. You'll work alongside analysts and consultants, helping organizations move from scattered data to smart, scalable infrastructure. Want to work somewhere where smart people care deeply and get things done with a little style? You've come to the right place. Location Preferences: We'd love for you to join us from one of our offices in OKC, Tulsa, or Stillwater or remote work near the Raleigh-Durham North Carolina area is preferred. Salary Range: $90,000-150,000, depending on experience and qualifications What You'll Do Build modern, scalable data pipelines that keep the data flowing-and keep our clients happy Design cloud-native infrastructure and automation that supports analytics, AI, and machine learning Unify and wrangle data from all kinds of sources: SQL, APIs, spreadsheets, cloud storage, and more Develop ETL/ELT frameworks that improve code quality and make things easier for your teammates Apply strong data modeling principles to support everything from dashboards to data science Collaborate closely with other InterWorkers and client teams to understand what they really need Write clear documentation, contribute to design decisions, and share what you learn Bring a thoughtful, problem-solving mindset to every project What You'll Need Must-Haves Solid SQL skills (and the curiosity to keep leveling up) Strong experience with ETL/ELT workflows (GUI tools or code-based-either works!) A clear understanding of data modeling best practices Deep understanding of data quality, governance, and observability principles and practices Working knowledge of DevOps concepts Experience with CI/CD pipelines Excellent communication skills-you can explain tech to humans A passion for delivering smart, thoughtful, client-centered solutions A love for learning new tools, frameworks, and approaches 5+ years of professional experience in a data engineering or technical consulting role Flexibility and comfort in fast-changing environments Nice-to-Haves Experience with cloud platforms (AWS, Azure, GCP) Familiarity with tools like Matillion, Fivetran, dbt, or Snowflake Exposure to modern data warehouses: BigQuery, Redshift, Databricks, etc. Knowledge of Python or scripting for automation An interest in AI and how it's shaping the future of data engineering A background in software engineering or integration work Why InterWorks InterWorks is a people-focused tech consultancy that empowers clients with customized, collaborative solutions, and we love pursuing innovation alongside people who inspire us. Our approach to work and community is unique and unconventional-just like us-and that's the way we want it. The only thing missing is you. At InterWorks, we value unique contributions, our people are the glue that holds our business together. We're always looking for the right people, and we could be your perfect fit.

Who We Are Ready to create a healthier world? We are ready for you! Personify Health is on a mission to simplify and personalize the health experience to improve health and reduce costs for companies and their people. At Personify Health, we believe in offering total rewards, flexible opportunities, and a diverse inclusive community, where every voice matters. Together, we're shaping a healthier, more engaged future. Responsibilities Ready to Transform Data Into Product Strategies That Drive Member Outcomes? We're seeking a strategic analytics leader who can combine deep technical expertise with product strategy insight to develop scalable frameworks and advanced analytics. As our Lead Product Data Scientist, you'll serve as the primary analytics partner for product leadership while designing experimentation models that empower teams and inform company-level decisions. What makes this role different ✓ Strategic partnership: Act as primary analytics partner to senior product leadership, setting frameworks for KPI definition, tracking, and evaluation ✓ Advanced modeling expertise: Create predictive and causal inference models that anticipate feature impact, engagement, and health outcomes ✓ Cross-functional influence: Serve as senior analytics thought leader, influencing roadmap prioritization and portfolio investment decisions ✓ Scalable impact: Build self-service tools and dashboards that empower teams while setting enterprise-level analytics standards What You'll Actually Do Drive product analytics strategy (40%): Act as primary analytics partner to senior leadership, developing advanced product funnel and user behavior models that identify patterns unlocking new opportunities. Architect experimentation frameworks (30%): Design and evaluate A/B and multivariate tests with statistical rigor while creating predictive models for feature impact and long-term engagement. Lead cross-functional influence (20%): Translate analytical findings into executive-level narratives that drive confident, data-backed decisions while facilitating workshops that raise data fluency across teams. Ensure technical excellence (10%): Partner with Data Engineering to optimize analytics-ready pipelines while establishing best practices and reusable libraries for SQL, Python, and experimentation templates. Qualifications What You Bring to Our Mission The technical foundation: Advanced SQL skills for complex query design and optimization Deep proficiency in Python with libraries like pandas, numpy, scikit-learn for modeling and analysis Strong grounding in statistical inference, hypothesis testing, and causal modeling Expertise with experimentation platforms and product analytics tools (Amplitude, Mixpanel, Heap) The strategic expertise: 5-8+ years leading product analytics or data science initiatives in SaaS, healthcare, or consumer tech Proven track record informing product strategy through analysis and experimentation Experience defining, evolving, and scaling product KPIs and measurement frameworks Demonstrated success influencing product and company-level decisions with data Experience partnering with product managers, digital user flows and funnels The leadership competencies: Ability to coach and raise data fluency of product managers, designers, and business leaders Strong executive communication and storytelling skills with comfort presenting to leadership teams Track record building scalable analytics frameworks that multiply impact across teams Experience in agile product environments with direct contribution to roadmap shaping The technical stack experience: Languages/Analytics: SQL, Python, R Visualization: MicroStrategy, Tableau, Looker, PowerBI Infrastructure: AWS, Snowflake, dbt Product Analytics: Amplitude, Mixpanel, Heap, Pendo Collaboration: Jira, Confluence, Teams The preferred qualifications: Background in healthcare, digital health, or wellness tech ecosystems Experience applying machine learning techniques to personalization or member engagement Familiarity with journey analytics, health outcomes measures, or value-based care metrics Demonstrated thought leadership in product data science communities or forums Why You'll Love It Here We believe in total rewards that actually matter-not just competitive packages, but benefits that support how you want to live and work. Your wellbeing comes first: Comprehensive medical and dental coverage through our own health solutions (yes, we use what we build!) Mental health support and wellness programs designed by experts who get it Flexible work arrangements that fit your life, not the other way around Financial security that makes sense: Retirement planning support to help you build real wealth for the future Basic Life and AD&D Insurance plus Short-Term and Long-Term Disability protection Employee savings programs and voluntary benefits like Critical Illness and Hospital Indemnity coverage Growth without limits: Professional development opportunities and clear career progression paths Mentorship from industry leaders who want to see you succeed Learning budget to invest in skills that matter to your future A culture that energizes: People Matter: Inclusive community where every voice matters and diverse perspectives drive innovation One Team One Dream: Collaborative environment where we celebrate wins together and support each other through challenges We Deliver: Mission-driven work that creates real impact on people's health and wellbeing, with clear accountability for results Grow Forward: Continuous learning mindset with team events, recognition programs, and celebrations that make work genuinely enjoyable The practical stuff: Competitive base salary plus commission structure that rewards your success Unlimited PTO policy because rest and recharge time is non-negotiable Benefits effective day one-because you shouldn't have to wait to be taken care of Ready to create a healthier world? We're ready for you. No candidate will meet every single qualification listed. If your experience looks different but you think you can bring value to this role, we'd love to learn more about you. Personify Health is an equal opportunity organization and is committed to diversity, inclusion, equity, and social justice. In compliance with all states and cities that require transparency of pay, the base compensation for this position ranges from $130,000 to $170,000 annually. Note that compensation may vary based on location, skills, and experience. This position is eligible for 10% target bonus/variable compensation as well as health, dental, vision, mental health and other benefits. We strive to cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive. Personify Health is committed to driving Diversity, Equity, Inclusion and Belonging (DEIB) for all stakeholders: employees (at each organization level), members, clients and the communities in which we operate. Diversity is core to who we are and critical to our work in health and wellbeing. #WeAreHiring #PersonifyHealth Beware of Hiring Scams: Personify Health will never ask for payment or sensitive personal information such as social security numbers during the hiring process. All official communication will come from a verified company email address. If you receive suspicious requests or communications, please report them to **************************. All of our legitimate openings can be found on the Personify Health Career Site.

Welcome to the Agentic Commerce Era At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. Simply said, we help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers, working together to shape the future of commerce, this is the place for you. BigCommerce is building the foundation for the next generation of AI-driven commerce. As a Lead AI Engineer, Platform & Infrastructure, you'll define and scale the systems that make this transformation possible. This role sits at the intersection of data engineering, MLOps, and applied AI enablement, responsible for building the secure, scalable, and high-performance infrastructure that supports AI/ML use cases across the company. You'll collaborate across product, engineering, and data teams to design the unified AI platform layer - powering internal intelligence, customer-facing AI features, and advanced analytics. From model lifecycle management to data pipelines and inference infrastructure, you'll drive the architecture and operational excellence that allows BigCommerce to experiment, deploy, and iterate AI at scale. If you're passionate about enabling intelligence through infrastructure, designing modern ML ecosystems, and operationalizing AI across a fast-scaling SaaS platform, this role will put you at the center of BigCommerce's AI evolution. What You'll Do AI Platform Architecture Partner with the Enterprise Architect and Principal Data Architect to design the company-wide AI/ML platform strategy across GCP and AWS. Build scalable systems for model training, evaluation, deployment, and monitoring. Define best practices for data ingestion, feature stores, vector databases, and model registries. Integrate AI workflows into existing analytics and product pipelines. Infrastructure & Reliability Implement CI/CD for ML pipelines (MLOps) including model versioning, validation, and automated deployment. Ensure platform reliability, observability, and performance at enterprise scale. Manage GPU/TPU resources and optimize compute efficiency for training and inference workloads. Contribute to cost-optimization and security best practices across the AI infrastructure. Cross-Functional Collaboration Partner with data scientists, applied ML engineers, and product teams to translate model requirements into scalable architecture. Work closely with the data engineering team to ensure AI pipelines align with governance and data quality standards. Collaborate with software engineers to integrate AI services and APIs into production systems. Governance & Responsible AI Champion data and model governance, including lineage, reproducibility, and compliance (GDPR, SOC, ISO). Establish monitoring frameworks for model drift, bias detection, and ethical AI use. Build secure and transparent systems that support trust in AI-driven decisions. What You'll Bring 7+ years in data or ML engineering, with experience designing production-grade AI infrastructure. Strong technical foundation in MLOps, data pipelines, and distributed systems. Hands-on experience with: Cloud AI platforms (Vertex AI, SageMaker, Bedrock, or equivalent) Orchestration frameworks (Airflow, Kubeflow, MLflow, or Metaflow) Cloud data stacks (BigQuery, Snowflake, GCS/S3, Terraform) Model serving tools (FastAPI, BentoML, Ray Serve, or Triton Inference Server) Proficient in: Python, SQL, and Git-based CI/CD. Experience integrating LLMs and vector databases (e.g., Pinecone, FAISS, Weaviate, Vertex Matching Engine). Familiarity with Kubernetes, Docker, and Terraform for scalable deployment. Strong communication skills, able to partner across disciplines and simplify complex technical systems. What You'll Impact The AI foundation powering every intelligent capability within BigCommerce - from predictive analytics to generative assistants. The tools and frameworks that enable product and engineering teams to build, test, and ship AI faster. The reliability, governance, and scalability of BigCommerce's enterprise-wide AI ecosystem. Why Join Us You'll play a critical role in shaping how BigCommerce operationalizes AI - not just as a feature, but as a platform capability. You'll join a collaborative, ambitious, and fast-evolving data organization dedicated to creating systems that enable intelligence at scale. #LI-GL1 #LI-HYBRID (Pay Transparency Range: $116,000-$174,000) The exact salary will be dependent on the successful candidate's location, relevant knowledge, skills, and qualifications. Inclusion and Belonging At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team. Learn more about the Commerce team, culture and benefits at ********************************* Protect Yourself Against Hiring Scams: Our Corporate Disclaimer Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers. Be advised: Commerce does not offer jobs to individuals who do not go through our formal hiring process. Commerce will never: require payment of recruitment fees from candidates; request personally identifiable information through unsanctioned websites or applications; attempt to solicit money from you as part of the hiring process or as part of an employment offer; solicit money to complete visa requirements as part of a job offer. If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.

Welcome to the Agentic Commerce Era At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. Simply said, we help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers, working together to shape the future of commerce, this is the place for you. We are looking for a Data Engineer to join our Data Solutions organization and support the AI Operations team in building the data foundation that powers automation, analytics, and AI-enabled decision-making across the company. This role will design and maintain the pipelines, data lake architectures, and Snowflake models that ensure clean, reliable, and timely data is available for AI-driven workflows. You'll collaborate closely with the Business Analyst, Automation Specialist, and Full Stack Engineer to translate business requirements into scalable data systems that enable automation and advanced analytics. You'll also partner with other data engineers to build infrastructure that supports AI use cases and helps connect business processes with intelligent, data-driven solutions. What You'll Do Design and maintain data lake architectures that support AI Operations workflows, analytics, and automation. Build and optimize ETL/ELT pipelines to ingest raw data from internal and external tools (e.g., Salesforce, Crossbeam, marketing platforms) into Snowflake and other structured data stores. Partner with Business Analysts to translate business requirements into scalable, production-ready data solutions. Collaborate with Automation Specialists to connect data pipelines with workflow automation requests, custom GPTs, and AI assistant integrations. Support Full Stack Engineers by developing and maintaining the MCP Server (Message/Command/Processing layer) that connects data services with internal tools and systems. Work with Business Analysts to validate data quality and ensure accuracy across key datasets and workflows. Develop and maintain Snowflake data warehouse models, ensuring datasets are structured, governed, and optimized for AI use cases. Troubleshoot and resolve data ingestion issues, recommending improvements to infrastructure, processes, and tools. Monitor and maintain all data workflows within the AI Operations ecosystem, ensuring performance, reliability, and scalability. Who You Are Experienced - 3+ years of experience in data engineering, data warehousing, or related fields. Technical - Strong SQL and Python skills, with hands-on experience building ETL/ELT pipelines (Airflow experience a plus). Data-Focused - Skilled in Snowflake or similar cloud data warehouses (BigQuery, Redshift) and familiar with data lake concepts and best practices. AI Curiosity - Passionate about building AI-driven products and automation systems that transform how teams operate and make decisions. Cloud-Savvy - Comfortable working within AWS, GCP, or similar environments; familiar with Linux command-line operations. Collaborative - Works effectively across teams, partnering with analysts, engineers, and automation specialists to build high-impact solutions. Curious and Innovative - Passionate about AI and eager to explore practical ways to enable automation through data. Problem Solver - Analytical and detail-oriented, capable of diagnosing complex data issues and driving process improvements. Adaptable - Thrives in a fast-paced, evolving environment with shared ownership and cross-functional support. Hybrid - 3 Days per week in office. #LI-LH1 #LI-HYBRID (Pay Transparency Range: $91,000-$154,000) The exact salary will be dependent on the successful candidate's location, relevant knowledge, skills, and qualifications. Inclusion and Belonging At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team. Learn more about the Commerce team, culture and benefits at ********************************* Protect Yourself Against Hiring Scams: Our Corporate Disclaimer Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers. Be advised: Commerce does not offer jobs to individuals who do not go through our formal hiring process. Commerce will never: require payment of recruitment fees from candidates; request personally identifiable information through unsanctioned websites or applications; attempt to solicit money from you as part of the hiring process or as part of an employment offer; solicit money to complete visa requirements as part of a job offer. If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.

E*Pro Consulting service offerings include contingent Staff Augmentation of IT professionals, Permanent Recruiting and Temp-to-Hire. In addition, our industry expertise and knowledge within financial services, Insurance, Telecom, Manufacturing, Technology, Media and Entertainment, Pharmaceutical, Health Care and service industries ensures our services are customized to meet specific needs. For more details please visit our website ****************** Job Description Title : ETL Architect Location : Columbus, OH Type : Fulltime Permanent Work Status : US Citizen / GC / EAD (GC) Required Skills: • Responsible for Architecture, Design and Implementation of Data Integration/ETL, Data Quality, Metadata Management and Data Migration solutions using Informatica tools • Execute engagements as Data Integration-ETL Architect and define Solution Strategy, Architecture, Design and Implementation approach • Expertise in implementing Data Integration-ETL solutions which include components such as ETL, Data Migration, Replication, Consolidation, Data Quality, Metadata Management etc. using Informatica products (e.g. Power Center, Power Exchange, IDQ, Metadata Manager) • Responsible for Detailed ETL design, Data Mapping, Transformation Rules, Interfaces, Database schema, Scheduling, Performance Tuning, etc • Lead a team of designers/developers and guide them throughout the implementation life cycle and perform Code review • Engage client Architects, SMEs and other stakeholders throughout Architecture, Design and implementation lifecycle and recommend effective solutions • experience in multiple Databases such as Oracle, DB2, SQL Server, Mainframe, etc • Experience in Industry models such as IIW, IAA, ACORD, HL7, etc. and Insurance products (e.g. Guidewire) will be plus Additional Information All your information will be kept confidential according to EEO guidelines.

E*Pro Consulting service offerings include contingent Staff Augmentation of IT professionals, Permanent Recruiting and Temp-to-Hire. In addition, our industry expertise and knowledge within financial services, Insurance, Telecom, Manufacturing, Technology, Media and Entertainment, Pharmaceutical, Health Care and service industries ensures our services are customized to meet specific needs. For more details please visit our website ****************** Job Description Title : ETL Architect Location : Columbus, OH Type : Fulltime Permanent Work Status : US Citizen / GC / EAD (GC) Required Skills: • Responsible for Architecture, Design and Implementation of Data Integration/ETL, Data Quality, Metadata Management and Data Migration solutions using Informatica tools • Execute engagements as Data Integration-ETL Architect and define Solution Strategy, Architecture, Design and Implementation approach • Expertise in implementing Data Integration-ETL solutions which include components such as ETL, Data Migration, Replication, Consolidation, Data Quality, Metadata Management etc. using Informatica products (e.g. Power Center, Power Exchange, IDQ, Metadata Manager) • Responsible for Detailed ETL design, Data Mapping, Transformation Rules, Interfaces, Database schema, Scheduling, Performance Tuning, etc • Lead a team of designers/developers and guide them throughout the implementation life cycle and perform Code review • Engage client Architects, SMEs and other stakeholders throughout Architecture, Design and implementation lifecycle and recommend effective solutions • experience in multiple Databases such as Oracle, DB2, SQL Server, Mainframe, etc • Experience in Industry models such as IIW, IAA, ACORD, HL7, etc. and Insurance products (e.g. Guidewire) will be plus Additional Information All your information will be kept confidential according to EEO guidelines.

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Staff Data Scientist - Experimentation & Measurement Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You'll Be Doing: Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership. Mentor and guide other Data Scientists, providing thought leadership and technical direction. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work. Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: Master's or PhD in Statistics, Economics, or Econometrics. 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL and Python for data extraction, transformation, and analysis. Broad and applied knowledge of statistical techniques. Experience with machine learning modeling is a plus. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Bonus: Passion for video games, player communities, or the gaming industry. #LI-KC Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below.$212,200-$318,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at Egen? Check out these resources in addition to the job description. -> Meet Egen -> Life at Egen-> Culture and Values at Egen-> Career Development at Egen NOTE: This is a 6-month contract.About the job: Migrate data and analytics workloads from BigQuery to Snowflake Support GCP to AWS data platform migration Develop and optimize ETL/ELT pipelines using Python and SQL Build analytics-ready datasets for reporting and dashboards Support BI tools such as Looker, Amazon QuickSight, or Tableau Ensure data quality, performance, and reliability Collaborate with data architects, analytics, and DevOps teams About you: 3-5 years of experience as a Data Engineer Strong SQL skills (complex queries, optimization) Strong Python experience for data processing Experience with Snowflake Experience with BigQuery Cloud experience on GCP and/or AWS Experience supporting BI tools (Looker, QuickSight, Tableau) Nice to have: Experience with data migration projects Knowledge of dbt, Airflow, or similar orchestration tools Experience in multi-cloud environments Familiarity with data modeling and analytics use cases EEO and Accommodations: Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

Role Analytics Data science and IOT Engineer Responsibilities Understanding the requirement and ability to relate to statistical algorithms Knowing the Acceptance Criteria and ways to achieve the same Complete understanding of Business Processes and data Performing EDA (Exploratory Data Analysis) cleansing, data preprocessing data munging and create training data sets Using the right Statistical models and other statistical methods Deploying the statistical model using the technology of customers' preference Building Data Pipeline , Machine Learning Pipeline and Monitoring activities are set for Continuous Integration , Continuous Development and Continuous Testing Investigating Statistical Model & provide resolution when there is any data drift and performance issues The Role offers Opportunity to join a global team to do meaningful work that contributes to global strategy and individual development To re-imagine, redesign, and apply technology to add value to the business and operations

Role Analytics Data science and IOT Engineer Responsibilities Understanding the requirement and ability to relate to statistical algorithms Knowing the Acceptance Criteria and ways to achieve the same Complete understanding of Business Processes and data Performing EDA (Exploratory Data Analysis) cleansing, data preprocessing data munging and create training data sets Using the right Statistical models and other statistical methods Deploying the statistical model using the technology of customers' preference Building Data Pipeline , Machine Learning Pipeline and Monitoring activities are set for Continuous Integration , Continuous Development and Continuous Testing Investigating Statistical Model & provide resolution when there is any data drift and performance issues The Role offers Opportunity to join a global team to do meaningful work that contributes to global strategy and individual development To re-imagine, redesign, and apply technology to add value to the business and operations

JD: Experience with big data processing and distributed computing systems like Spark. • Implement ETL pipelines and data transformation processes. • Ensure data quality and integrity in all data processing workflows. • Troubleshoot and resolve issues related to PySpark applications and workflows. • Understand source, dependencies and data flow from converted PySpark code. • Strong programming skills in Python and SQL. • Experience with big data technologies like Hadoop, Hive, and Kafka. • Understanding of data warehousing concepts and relational databases like SQL. • Demonstrate and document code lineage. • Integrate PySpark code with frameworks such as Ingestion Framework, DataLens, etc. , • Ensure compliance with data security, privacy regulations, and organizational standards. • Knowledge of CI/CD pipelines and DevOps practices. • Strong problem-solving and analytical skills. • Excellent communication and leadership abilities.

Role Big Data Engineer Responsibilities Implement Data integration and Data Warehouse based solutions using Big Data Technologies. Should be highly proficient in the use of Big Data / Open Source Technologies and standard techniques of Data Integration, Data Manipulation with hands-on contribution. Should be able to develop cost efficient and performant data pipelines in the cloud platform In-depth understanding of modern big data technology, including Data modeling and machine learning skills Knowledge of real time data streaming and aggregation architectural patterns and practice Essential Skills: 3+ Years hands on knowledge on SQL as well as SQL/NoSQL databases Proficient in programming languages such as Python and PySpark/Scala/Java Experience with Apache Spark in On-prem / Cloud (Databricks / EMR / DataProc HDInsight) Working knowledge of API development Experience in building data pipelines in ETL/ELT methods Experience with integration of data from multiple data sources Experience in one of the NoSQL databases, such as HBase, Cassandra, MongoDB Knowledge of real time/streaming/event based data engineering frameworks, such as Flume, Pub-Sub, Kinesis, Eventhub

Job Description: 1. 3-5 years in Data platform engineering 2. Experience with CI/CD, laC(Terraform) and containerization with Docker/Kubernetes 3. Hands on experience building backend applications like APIs, Services etc 4. Proven track record in building scalable Data Engineering pipelines using Python, SQL, DBT Core/Cloud. 5. Experience working with MWAA (Airflow) or similar cloud based Data Engineering Orchestration Tool 6. Experience working with cloud ecosystems like AWS, Azure or GCP and modern data tools like Snowflake, Databricks etc. 7. Strong problem solving skills as well as ability to move in a fast pace environment is a plus.

Team Name: Unannounced ProjectJob Title:Senior Gameplay Engineer, GameplayRequisition ID:R026693Job Description: At Blizzard, we craft genre-defining games and legendary worlds for all to share. Through unparalleled creativity and storytelling, we create immersive universes and iconic characters that are beloved across platforms, borders, backgrounds, and generations - only made possible by building a work environment that nurtures the artistry of game development and unleashes the aspirations of our people. As a Senior Gameplay Engineer on our Open World team, you will collaborate closely with designers and artists to prototype, implement, and polish high-quality AAA open world content and the gameplay features that support it. You will help build scalable, repeatable gameplay systems and interactions that remain reliable and performant across a wide variety of player states and world environments. You will also own larger open world features end-to-end, contribute to technical direction and raise the quality bar through scalable implementation patterns, code reviews, and knowledge sharing. This role is anticipated to be a full-time, hybrid work position, with some work on-site and some work-from-home. The potential home studio for this role is Irvine, CA. What you bring to the table: Responsibilities Partner with open world designers to prototype, implement, and iterate on open world content from early concepts through shippable quality. Own substantial open world gameplay features end-to-end, including implementation, iteration, polish, and ongoing maintenance. Contribute to technical direction within the team's scope by establishing scalable content patterns and practical guardrails that improve consistency and reduce rework. Deliver gameplay features that remain robust across many instances, varied player states, and complex runtime conditions typical of open world gameplay. Use your experience to improve open world iteration speed by strengthening workflows, debugging visibility, and validation suited for high-volume content. Profile and optimize open world content and gameplay features to help ensure stable, release-quality execution. Collaborate with cross-disciplinary and technical partners to diagnose issues and drive fixes to resolution. Contribute to healthy engineering practices through frequent readable commits, constructive code reviews, and lightweight documentation, and help unblock others through timely guidance. Champion Blizzard's core values and contribute to a collaborative, inclusive team culture. Requirements Experience 5+ years of experience in gameplay engineering or a combination of applicable training and related experience. Engineering contributions to at least one shipped AAA game title or similarly complex real-time interactive product. Experience delivering AAA-quality features and experiences as part of a cross-functional team including designers, artists, animators, level designers, FX artists, etc. Experience working on real-time 3D games. Knowledge & Skills Ability to understand and write production-grade C++ code. Capacity to make frequent, readable, well-tested code commits and participate effectively in code reviews. Excellent problem-solving and debugging skills. Experience analyzing gameplay features and content for performance and optimizing toward release quality. Mentorship mindset and excellent attitude to helping others level up their knowledge. Strong communication and collaboration skills in multi-disciplinary teams. Extra Points Experience Degree in computer science, mathematics, physics, or a related discipline. Experience in development using the Unreal engine (both C++ and Blueprint). Experience developing and shipping AAA game titles for PC, Xbox, and PlayStation consoles. Knowledge & Skills Experience working in a large codebase and collaborating across multiple gameplay teams. Experience working on online multiplayer games. Key Attributes Passion for gameplay development, especially for the quality of the moment-to-moment experience. Your Platform Best known for iconic video game universes including Warcraft , Overwatch , Diablo , and StarCraft , Blizzard Entertainment, Inc. (****************** a division of Activision Blizzard, which was acquired by Microsoft (NASDAQ: MSFT), is a premier developer and publisher of entertainment experiences. Blizzard Entertainment has created some of the industry's most critically acclaimed and genre-defining games over the last 30 years, with a track record that includes multiple Game of the Year awards. Blizzard Entertainment engages tens of millions of players around the world with titles available on PC via Battle.net , Xbox, PlayStation, Nintendo Switch, iOS, and Android. Our World Activision Blizzard, Inc., is one of the world's largest and most successful interactive entertainment companies and is at the intersection of media, technology and entertainment. We are home to some of the most beloved entertainment franchises including Call of Duty , World of Warcraft , Overwatch , Diablo , Candy Crush ™ and Bubble Witch ™. Our combined entertainment network delights hundreds of millions of monthly active users in 196 countries, making us the largest gaming network on the planet! Our ability to build immersive and innovate worlds is only enhanced by diverse teams working in an inclusive environment. We aspire to have a culture where everyone can thrive in order to connect and engage the world through epic entertainment. We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! The videogame industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners. We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $101,000.00 - $186,754.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.