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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II (Hybrid) - **Company:** Corporate Data Solutions, Inc. - **Location:** Scottsdale, AZ, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Data Analysis, Audit Trail, Automation of Tests, Cloud Computing, Software Quality, Code Review, Continuous Delivery, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Systems, Data Warehousing, Cursor, Instant Messaging Technology, Performance Tuning, Systems Development Life Cycle, Reliability Engineering, Software Tools, Cloud Services, Short Message Service, Software Engineering, SQL Databases, Enterprise Data Management, System Availability, Snowflake, Data Layers, Webforms, Star Schema, Data Management, Data Pipelines - **Published:** September 15, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-ii-hybrid-scottsdale-az--524e8131-fd57-41d5-899d-a0e021623478 ## About the Role * 10+ years of experience in data engineering, analytics engineering, software engineering, or modern data platform development, with a track record of delivering production-ready data pipelines, models, and warehouse solutions. * Hands-on expertise with Snowflake, dbt, Fivetran, and modern ELT/data warehouse architecture; experience with Elementary, Sigma, CI/CD pipelines, cloud infrastructure, or AI/ML-adjacent data tooling is a strong plus. * Proficiency leveraging AI-powered engineering tools such as Cursor and Claude Code as part of day-to-day development workflows; using AI tooling to improve engineering quality, speed, documentation, testing, and problem-solving is an expectation for this role, not a nice-to-have. * Strong data modeling, SQL, testing, observability, and performance optimization skills, with a commitment to building reliable, governed, and maintainable data systems. * Experience supporting data governance, data quality frameworks, auditability, compliance controls, or SOX-relevant environments. * Demonstrated ability to operate as a senior individual contributor - owning complex technical problems, influencing architecture, raising code quality, and delivering high-impact work without close direction. * A passion for mentorship and team elevation, including code reviews, pairing, knowledge sharing, and helping establish practical engineering standards. * Strong collaboration and communication skills, with the ability to partner effectively with technical teams and business stakeholders across Finance, Sales, Operations, and other functions. * A values-driven approach aligned with Axon's mission and culture: you take ownership, solve hard problems, act with integrity, and care deeply about building systems that help the business move faster and smarter., Architectural Services, Artificial Intelligence (AI), Best Practices, Building Systems, Business Services, Cloud Computing, Code Reviews, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Quality, Data Warehousing, Dental Insurance, Disability Accommodations, Diversity, Documentation, Ecosystems, External Audit, Finance, Instant Messaging, Internal Audit, Machine Tool, Mentoring, Performance Tuning/Optimization, Problem Solving Skills, Process Improvement, Quality Engineering, Quality Management, Quality Metrics, Quality Monitoring, Reliability Engineering, SQL (Structured Query Language), Sales Operations, Sarbanes-Oxley Act (SOX), Scalable System Development, Service Level Agreement (SLA), Short Messaging Service (SMS), Snowflake Schema, Software Engineering, Team Lead/Manager, Team Player, Technical Leadership, Test Automation, Test Patterns, Testing, Training Data Sets, Vision Plan, Work From Home ## Description We are seeking a Senior Data Engineer II to play a pivotal role in building and advancing Axon's Corporate Data Platform - a best-in-class, cloud-native data warehouse that serves as the foundation for enterprise reporting, business self-service analytics, and our growing Connected Intelligence initiatives. In this hands-on senior individual contributor role, you will design, implement, and optimize modern data solutions across Snowflake, dbt, Fivetran, Elementary, Sigma, and the broader data engineering ecosystem. You'll serve as a technical anchor for the team, helping shape platform architecture, raise engineering standards, and build trusted, AI-ready data infrastructure that drives business decisions across Axon. This role offers significant influence, visibility, and career growth for a senior engineer who wants to deepen their technical leadership while helping define what modern data engineering looks like at scale. What You'll Do, Location: This role follows a hybrid schedule and is based out of one of our U.S. office hubs. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. Reports to: Director, Enterprise Data Direct Reports: None - this is an individual contributor role * Serve as a senior technical anchor for Axon's Corporate Data Platform, setting a high quality bar for engineering output, data modeling, testing, observability, and production readiness. * Design, build, and optimize scalable data pipelines, models, and warehouse architecture across Snowflake, dbt, Fivetran, and related modern data platform technologies. * Partner closely with the Principal Data Engineer, team lead, and cross-functional stakeholders to influence architectural decisions and deliver reliable, governed, and AI-ready data infrastructure. * Build and maintain clean, well-modeled datasets that power enterprise reporting, business self-service analytics, and AI-driven work-streams across Finance, Sales, Operations, and other business functions. * Contribute to Axon's formal data governance framework, including data quality SLAs, audit-scoped monitoring across Bronze, Silver, and Gold data layers, and SOX-relevant compliance controls. * Implement and uphold automated testing, monitoring, and data quality standards using tools such as dbt and Elementary, ensuring the platform meets internal and external audit integrity requirements. * Mentor junior and mid-level engineers through thorough code reviews, pairing on complex problems, technical guidance, and proactive knowledge sharing. * Establish and evolve engineering best practices, including dbt conventions, data modeling patterns, testing standards, CI/CD workflows, and documentation practices. * Evaluate and introduce new tools, patterns, and platform capabilities that help Axon stay ahead of growing enterprise data and AI needs. * Drive measurable impact through improvements in platform reliability, pipeline SLA adherence, data quality test pass rates, engineering quality, governance maturity, and team capability., The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.