About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs. You’re excited about this opportunity because you will… Own critical data systems that support multiple products/teams Develop, implement and enforce best practices for data infrastructure and automation Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We’re excited about you because… 3+ years of professional experience 3+ years experience working in data platform and data engineering or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proficiency in programming languages such as Python/Kotlin/Scala 3+ years of experience in ETL orchestration and workflow management tools like Airflow Expert in database fundamentals, SQL, data reliability practices and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools Comfortable working in
Software Engineering Manager - Financial & SCM Systems
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Role overview
Job description
Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. As we continue to scale our global platform, the Engineering Manager, Financial & SCM Systems will play a critical role in owning and evolving our financial and oper
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What they are looking for
Skills & requirements
Qualification
8–12+ years of ERP functional and/or technical experience, with strong hands-on expertise in Finance (O2C, P2P, GL, AR, AP) and/or Supply Chain and integrations, preferably in retail, eCommerce, or high-transaction environments with complex integration landscapes. Hands-on AI practitioner with active daily use of tools such as GitHub Copilot, ChatGPT/Claude, or Oracle AI — including demonstrated experience driving AI tool adoption within a team, setting standards, training others, and measuring productivity impact. Proven ability to lead automations leveraging cloud ERP native capabilities, low-code/no-code platforms, or AI-native tooling, with familiarity in AI risk, governance, and compliance considerations in enterprise financial systems. Strong understanding of end-to-end business processes and cross-system data flows, with experience across financial platforms including order management, procurement, treasury, and payment systems. Demonstrated ability to build and retain high-performing teams with a culture of ownership, learning, and AI-first delivery, including developing career paths that reflect both domain expertise and modern working practices. Exceptional prioritization
Department · Commerce - Technology
Hiring company
Fanatics Commerce
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