This page tracks remote data engineer openings that are location-eligible for Arizona.
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• Lead the end-to-end development of an internal-facing GenAI capability • Conduct competitive scans of the emerging Databricks ecosystem and adjacent tooling • Help define schemas, APIs, and contracts • Participate in biweekly Data Platform demos and engineering standups • Close collaboration and weekly 1:1s with the Principal Product Manager of Data Platform.
We help companies develop the world's most productive and admired workforces.
• Own the Data Governance & Accessibility program • Design scalable data architecture • Improve pipeline reliability and mentor data engineers
CrowdStrike has redefined security with the world’s most advanced cloud-native platform that protects and enables the people, processes and technologies that drive modern enterprise. Tested and proven, the world's largest organizations trust CrowdStrike to stop breaches with unparalleled protection against the most sophisticated cyberattacks. The CrowdStrike culture has been built upon our Core Values since the day we began. We are Fanatical About the Customer, Relentlessly Focused on Innovation and believe that our Limitless Passion drives Unlimited Potential for every CrowdStriker. As a purpose-built remote-first company, we believe cultivating a connected culture for every employee, no matter where they are in the world, is a key ingredient in building a high-performing, diverse team. We don’t have a mission statement. We’re on a mission—to stop breaches. Ready to join a mission that matters?
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role:CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models (LLMs) and AI platforms to join our growing Data Science Platform Engineering Team. You will be a key leader, responsible for designing, building, and deploying cutting-edge data infrastructure that powers our next generation of AI-driven security products. This role requires significant hands-on experience in LLM integration, agentic workflows, and agent harnessing to deliver high-impact, scalable solutions. You will champion engineering excellence, focusing on shipping fast, writing elegant, high-quality code, and actively mentoring and strengthening the team's technical knowledge and capabilities. The scale of our systems and data are approaching Exabytes in size. Experience with extremely large-scale systems, including DevSecOps patterns, practices, and standards are important for this work. What You'll Do: - Architect, implement, and optimize data platforms and pipelines specifically designed to support LLMs, Retrieval-Augmented Generation (RAG), and sophisticated AI agentic systems at Exabyte scale. - Drive the adoption and deployment of agentic workflows and agent harnessing techniques to create autonomous, data-driven security features. - Design and implement highly scalable, fault-tolerant, and cost-effective data solutions, emphasizing rapid iteration and high-quality deployment. - Write elegant, production-ready code with a focus on performance, maintainability, and testing rigor, ensuring the ability to ship fast without compromising quality. - Provide technical leadership and deep expertise in data modeling, normalization, and semantic cataloging for AI/ML workloads. - Establish best practices for MLOps/DataOps surrounding LLMs, including monitoring, observability, and zero-touch recovery mechanisms for AI services. - Actively mentor engineers, conducting technical workshops, leading design reviews, and strengthening the team's knowledge in cutting-edge AI platform technologies. - Collaborate across the organization with Data Scientists, Product Managers, and other engineering teams to transform research prototypes into robust, production-grade services. - Own the end-to-end lifecycle of critical data services: development, testing, deployment, and monitoring. Tech Stack (Expertise in several key areas is expected): - MLOps Tools (MLflow, Sagemaker, Vertex AI) - Experience with common agentic workflow frameworks (e.g., LangChain, LlamaIndex). - Expert-level proficiency in a high-level coding language (Python, or JVM technologies). - Deep experience with distributed data processing frameworks (e.g., Spark, Dask, Flink). - Strong expertise with cloud platforms (AWS, GCP, or OCI) and related data services. - Containerization and orchestration mastery (Docker, Kubernetes). - Message queuing and streaming technologies (Kafka, Pulsar). - Data Warehousing (Snowflake, BigQuery) and Data Orchestration (Airflow, Kubeflow). What You'll Need: - Master’s degree or PhD in Computer Science, Data Engineering, or a related STEM field, or equivalent practical experience. - 10+ years of progressive experience in Data Engineering/Platform Engineering, with at least 3 years focused on architecting and building platforms for AI/ML or Data Science at massive scale. - Demonstrable hands-on experience in LLM engineering (fine-tuning, prompt engineering, deployment), RAG, and developing agentic workflows. - Proven track record of designing and delivering large-scale distributed systems (sharding, partitioning, concurrency). - Exceptional ability to write clean, elegant, performant, and well-tested code, coupled with a proactive mindset for delivering results quickly. - A thorough understanding of engineering practices, including effective peer code reviews, resilient architecture design, and comprehensive testing paradigms. - Prior experience in a Principal or Staff level engineering role, demonstrating technical leadership and mentorship capabilities. Bonus Points: - Direct experience building, deploying, and managing LLMs in a production environment. - Prior experience in the cybersecurity, intelligence, or high-compliance industries. - Contributions to open-source projects related to data or AI/ML. #LI-RC1 #LI-Remote Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $195,000 - $290,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.For detailed information about the U.S. benefits package, please click here. Expected Close Date of Job Posting is:07-28-2026
The nation's leading high school media company providing live streaming and digital ticketing services.
• Serve as the primary delivery partner for the Streaming Intelligence product line and DPT, converting roadmap priorities into actionable project plans with clear milestones, owners, and dependencies. • Co-own quarterly and annual planning with the Principal PM—from ideation through go-to-market—ensuring engineering capacity, vendor timelines, and business priorities are aligned. • Track and report on product line KPIs defined by the Principal PM (accuracy benchmarks, processing latency, content coverage, downstream adoption) and surface risks or deviations early. • Partner with the data team on agentic AI enablement—coordinating efforts to surface data models and semantic views to the broader business through AI-powered interfaces, including usage tracking and accuracy assurance. • Manage delivery cadence for platform infrastructure initiatives including data governance rollouts, real-time streaming capabilities, and pipeline migration efforts—tracking phased delivery across multiple months with clear metrics of success. • Lead end-to-end program management for AI pipeline initiatives, including the game film analysis benchmarking program that evaluates vision models (e.g., Gemini Flash, Gemini Pro) against human-tagged ground truth across 28+ annotated fields per play. • Manage the cadence of model evaluation cycles: coordinating game imports, prompt engineering iterations, accuracy scoring, and cost analysis across multiple AI models. • Drive vendor integration workstreams—tracking deliverables, SLAs, and roadmap alignment with external computer vision and AI partners alongside the Principal PM. • Build and maintain project documentation for hybrid human-AI workflows, including escalation paths for ambiguous plays, quality review processes, and fallback handling. • Facilitate cross-team visibility across product, engineering, data, design, and QA to ensure aligned execution mapping back to PlayOn’s unified product objectives: Engaged Communities, Resilient Services, and New Customer Markets. • Own dependency mapping, risk management, and blocker resolution for strategic AI initiatives spanning multiple engineering teams. • Develop and maintain project dashboards, status reports, and executive-level communications that increase transparency of engineering progress to the broader business. • Provide governance and optimization for Atlassian tools (Jira, Confluence) to ensure standardized workflows, consistent estimation practices, and clear traceability from strategy to execution. • Champion operational improvements to planning cycles, stakeholder coordination, cross-org meetings, and feedback loops—creating transparency through standardized tooling and repeatable frameworks. • Actively incorporate AI tools (e.g., Claude, automation platforms) into your own delivery workflows: automating status reports, synthesizing meeting notes, generating risk analyses, and accelerating documentation. • Contribute to PlayOn’s broader AI maturity journey by demonstrating AI-augmented delivery practices that can be adopted across the PMO and engineering organization.
Federal contracting company specializing in technical, geospatial, healthcare, and administrative solutions.
• Designing and maintaining scalable database architectures for analytical workloads, ensuring optimal performance through indexing, partitioning, caching, and query tuning. • Developing, automating, and maintaining data ingestion, transformation, validation, and loading pipelines to support high-quality data flows. • Building reusable data connection modules and backend infrastructure components to streamline data operations and support future scalability. • Supporting data preprocessing, normalization, and rigorous data quality validation processes. • Contributing to cloud migration planning, governance, and evaluation of cloud solutions for security, compliance, interoperability, and performance. • Producing comprehensive data models, architecture diagrams, flowcharts, and technical documentation for internal and external stakeholders. • Utilizing PowerShell scripting and automation to enhance data engineering workflows and system integration. • Collaborating with technical, security, and stakeholder teams throughout the project lifecycle to deliver high-impact data solutions.
Driving Customer Success Through Finance Transformation: Advanced Processes, Analytics, & AI.
• Lead and execute SAP Data Migration activities for enterprise transformation projects. • Work extensively on Material Master, Purchase Orders, Outline Agreements, BOM, Routing, and Contracts data objects. • Perform data extraction, cleansing, mapping, validation, and reconciliation activities. • Collaborate with business users, functional consultants, and technical teams to define migration requirements and data standards. • Support migration strategy, mock loads, cutover planning, and go-live activities. • Ensure data quality, governance, and compliance throughout the migration lifecycle. • Conduct functional validations and support issue resolution during testing and deployment phases. • Coordinate with cross-functional teams including procurement, manufacturing, supply chain, and master data management teams. • Create migration documentation, mapping sheets, SOPs, and status reports. • Mentor junior team members and support knowledge-sharing initiatives.
We don’t just get the job done: we constantly think about how to get it done better.
Role Description We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs. The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you'll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members. Essential Functions: - Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources. - Provide operational support and troubleshooting for existing processes and systems. - Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities. - Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform. - Ensure data extraction, transformation and loading data meet data security & compliance requirements. - Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards. - Create data tools for data scientist team members that assist them in building and optimizing models. Qualifications - BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required. - 4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies. - 4+ years using Python, SQL, PySpark, R, or similar languages and manipulating, processing, and extracting value from large, disconnected data sets. - 4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement. - 2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB. - 2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments. - 2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and MLOps and designing, implementing, and maintaining automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions. - 2+ years with Salesforce FSC and Salesforce Data Cloud. Requirements - Strong communication and problem-solving skills. - Troubleshooting expertise. - Proficiency in Python, SQL. - Experience with Extract, Transform, Load (ETL) processes. - Experience building data pipelines. - Experience with Apache Spark and Apache Hadoop. - Experience with Amazon Web Services. Benefits - Health insurance - Paid holidays - Flexible time off - 401k retirement savings plan and company match with pre-tax and ROTH options - Dental insurance - Vision insurance - Employer paid disability insurance - Life insurance and AD&D insurance - Employee assistance program - Flexible spending accounts - Health savings account with employer contributions - Accident, critical illness, hospital indemnity, and legal assistance - Adoption assistance - Domestic partner coverage
• Design and develop data serving and semantic layers to support business needs • Develop data models for use by analysts and applications using modern dimensional modeling practices • Build and maintain robust, scalable data pipelines using ETL, ELT processes • Create efficient and performant data models to support business requirements • Implement and automate data quality checks and monitoring to ensure data accuracy • Manage, troubleshoot and optimize existing data infrastructure, including cloud-based solutions • Leverage cloud data platforms (Fabric, Databricks, Snowflake, etc.) for data storage, processing, and analysis • Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs
Role Description The goal of this position is to design, build, and maintain scalable cloud-based data solutions that support enterprise reporting, analytics, and operational decision-making. This role focuses on building scalable cloud-based data solutions by integrating enterprise source systems into Snowflake using Fivetran and Coalesce, and delivering curated, trusted datasets that support Tableau reporting, analytics, and operational decision-making. Additionally, this position will support enterprise data governance, data quality initiatives, cloud data warehouse development, and modernization of legacy reporting solutions. The Data Engineer will collaborate closely with business stakeholders, analysts, architects, and developers to deliver scalable and trusted data solutions across the organization. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Analytics, or related field (preferred) - Experience developing and implementing ETL/ELT processes and enterprise data solutions (required) - Experience with Snowflake, SQL Server, MySQL, Fivetran, Coalesce, and Github (preferred) - Experience with JIRA or similar tools (preferred) - Strong SQL development and query optimization experience - Experience working in Agile development environments - Knowledge of data warehousing concepts and data governance best practices - Strong organizational skills and attention to detail - Excellent written, verbal, and oral skills - Ability to manage multiple priorities simultaneously - Ability to maintain a flexible schedule Requirements - Builds scalable and robust cloud-based data solutions that can adapt over time to changing business and source system requirements - Designs, develops, and maintains ELT/ETL pipelines using modern cloud technologies and data integration platforms - Develops and optimizes data ingestion and transformation processes using tools such as Snowflake, SQL Server, MySQL, Fivetran, Coalesce and Github - Maintains and improves enterprise data warehouse structures, curated datasets, and transformation logic for reporting and analytics - Optimizes SQL queries and warehouse performance for accuracy, scalability, and efficiency - Collaborates with business and technical teams to gather requirements and translate them into technical solutions - Monitors, troubleshoots, and improves data workflows and production data processes - Supports data governance initiatives including metadata management, lineage tracking, documentation, and data quality validation - Diagrams and documents data flows, integrations, schemas, and transformation logic across enterprise systems - Supports Tableau reporting initiatives by delivering validated and high-quality datasets for dashboards and analytics - Participates in Agile development processes including sprint planning, estimation, backlog grooming, and release activities - Ensures secure and compliant handling of sensitive organizational PHI data - Performs other duties as assigned Benefits - Medical, Dental, Prescription Drug Coverage and Vision - 401(k) - Time off: - 2 week paid vacation (full-time) / 1 week paid vacation (part-time) - 12 paid sick days per year - 11 paid holidays - Paid Parental Leave - Mileage & Cell Phone Reimbursement (when applicable) - Tuition reimbursement and licensure supervision - Growth & development through continuous training - Clinical and administrative advancement opportunities
Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, disability/handicap status or any other legally protected characteristic.
Role Description Under supervision, implement a program to support client adoption and adherence to operational procedures. Contribute to efforts to expand program reach within a designated territory. Assist sales partners with onboarding new clients, ensuring smooth integration, managing material collection, and overseeing overall program performance. - Oversee preparation and shipment of materials, ensuring quality and recommending process improvements. - Identify reprocessable items and advise stakeholders on cost-saving opportunities. - Provide on-site support, addressing questions and optimizing workflow. - Educate and train staff on program value and best practices. - Conduct regular facility visits and support new client onboarding and program launches. - Prepare reports and use data to drive targeted education and program growth. - Manage service schedules and obtain purchase orders for reprocessed items. - Lead training sessions for clinical staff to promote program adoption. - Develop and monitor implementation plans, coordinating with internal teams and clients. - Build strong relationships with clients and internal partners to ensure program success. - Gather feedback, resolve issues promptly, and support operational needs as required. Qualifications - Bachelor’s degree and at least 2 years of sales or customer service related experience - OR high school diploma or equivalent and at least 4 years of sales or customer service related experience. - Experience developing presentations for various audience levels. - Willing to travel at least 50% of the time for business purposes (within state and out of state). - Position may require lifting and pushing boxes that weigh up to 20 lbs. Requirements - The anticipated salary range for this position: $50,000.00 - $75,000.00 Annual - The actual salary will vary based on applicant’s location, education, experience, skills, and abilities. - This role is bonus and/or incentive eligible. - Medline will not pay less than the applicable minimum wage or salary threshold. Benefits - Health insurance - Life and disability insurance - 401(k) contributions - Paid time off - For employees working 30 or more hours per week on average, additional benefits apply. - For roles where employees work less than 30 hours per week, benefits include 401(k) contributions, paid time off, Employee Assistance Program, Employee Resource Groups, and Employee Service Corp.
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SQL, ETL, AWS, Azure, Python, Cloud
