At Bayer, we're seeking a Staff Data Engineer to join our team. As a Staff Data Engineer, you will design and lead the implementation of data flows to connect operational systems, data for analytics and business intelligence (BI) systems. You will recognize opportunities to reuse existing data flows, lead the build of data streaming systems, optimize the code to ensure processes perform optimally, and lead work on database management.
\nCommunicating Between Technical and Non-Technical Colleagues
\nAs a Staff Data Engineer, you will communicate effectively with technical and non-technical stakeholders, support and host discussions within a multidisciplinary team, and be an advocate for the team externally.
\nData Analysis and Synthesis
\nYou will undertake data profiling and source system analysis, present clear insights to colleagues to support the end use of the data.
\nData Development Process
\nYou will design, build and test data products that are complex or large scale, build teams to complete data integration services.
\nData Innovation
\nYou will understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage.
\nData Integration Design
\nYou will select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines.
\nData Modeling
\nYou will produce relevant data models across multiple subject areas, explain which models to use for which purpose, understand industry-recognised data modelling patterns and standards, and when to apply them, compare and align different data models.
\nMetadata Management
\nYou will design an appropriate metadata repository and present changes to existing metadata repositories, understand a range of tools for storing and working with metadata, provide oversight and advice to more inexperienced members of the team.
\nProblem Resolution
\nYou will respond to problems in databases, data processes, data products and services as they occur, initiate actions, monitor services and identify trends to resolve problems, determine the appropriate remedy and assist with its implementation, and with preventative measures.
\nProgramming and Build
\nYou will use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations, collaborate with others to review specifications where appropriate.
\nTechnical Understanding
\nYou will understand the core technical concepts related to the role, and apply them with guidance.
\nTesting
\nYou will review requirements and specifications, and define test conditions, identify issues and risks associated with work, analyse and report test activities and results.
\nXML job scraping automation by YubHub
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\nBrex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.
\nBrex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
\nWorking at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
\nData at Brex
\nOur Scientists and Engineers work together to make data , and insights derived from data , a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
\nWhat You’ll Do
\nAs a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.
\nWhere you’ll work
\nThis role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
\nResponsibilities:
\nRequirements:
\nCompensation:
\nThe expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
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\nData at Brex
\nOur Scientists and Engineers work together to make data , and insights derived from data , a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
\nWhat You’ll Do
\nAs a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.
\nWhere you’ll work
\nThis role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
\nResponsibilities:
\nRequirements:
\nCompensation:
\nThe expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
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\nThis role goes beyond reporting,you will be responsible for building the foundation that powers our go-to-market strategy, from attribution modeling to executive decision-making. You will partner closely with marketing, sales, and revenue leadership to connect marketing efforts to business outcomes, enabling smarter investments and accelerating growth in the institutional crypto ecosystem.
\nCore Competencies
\nTechnical Skills:
\nTechnical & Analytical Ownership
\nComplexity and Impact of Work:
\nSystems & Data Architecture
\nOrganizational Knowledge:
\nCommunication and Influence:
\nWhat Sets You Apart:
\nYou may be a fit for this role if you have:
\nAlthough not a requirement, bonus points if:
\nXML job scraping automation by YubHub
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