Coderio designs and delivers scalable digital solutions for global companies.
We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end.
We work with international clients, value autonomy and clear communication, and build long‐term partnerships through technical excellence.
More information: This is a high-impact technical role.
We are looking for a motivated and adaptive DataOps Engineer, Technical Referent to join our fast-paced environment.
You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, where a high tolerance for ambiguity and a passion for constant learning are essential.
Your primary mission involves interacting with customers to understand their needs, extract requirements, and both design and propose scalable solutions.
You will be responsible for tackling the challenge of working within a team to develop solutions, as well as executing hands‐on technical work to ensure robust data operations.
What To Expect In This Role (Responsibilities) Automation & Integration: Develop Python components, Terraform modules, and pipe to join us.
If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.
Research and Impact Acceleration
Research and Impact Acceleration (m/f/d)
The incumbent for this position may be based in the United States (US), Germany.
Bayer Talent Acquisition is accepting applications for these locations under one global job posting which follows each country's individual employment laws.
As such, applicants should expect to experience differences in the application process which are unique from a single country posting.
As the Research and Impact Acceleration Lead, you are part of the Product Design Capability Center and report to the Head of Product Design.
In this role, you define and lead the vision, strategy, and multi-year plan for accelerating research and impact across the team through improvements in germplasm improvement units.
You mobilize the organization to turn speed of learning, evidence quality, and iteration capacity into a durable competitive advantage in how the early part of the breeding pipeline operates, ensuring that innovation translates into faster, higher-quality product delivery for growers and customers worldwide.
YOUR TASKS AND RESPONSIBILITIES
Define the vision and multi-year strategy for research acceleration across the early breeding pipeline, framing where faster learning creates durable competitive advantage and translating this into a prioritized portfolio against the highest-value constraints in cycle time, genetic gain, decision quality, and product delivery;
Establish how the organization formulates and answers research questions by setting standards for hypothesis-driven design, decision-ready evidence, and disciplined scale, pivot, or stop decisions so that rapid iteration becomes the default operating rhythm rather than a collection of individual projects;
Shape the enabling-technology agenda across accelerated breeding, genomics, phenotyping,



predictive analytics, automation, and digital workflows, directing investment and partnerships toward the capabilities that will differentiate the pipeline;
Lead the adoption strategy that institutionalizes proven innovation, governing the standards, workflows, training, and change management required to embed new practices across crops and regions at scale;
Own the impact narrative and its metrics by defining how acceleration value is measured and reported on cycle time, genetic gain, cost, quality, and adoption, and using that evidence to steer investment, leadership decisions, and the Long-Range Plan;
Provide technical, strategic, and product knowledge to the Capability Center, strategically contributing to key global Precision Breeding, Breeding, and R&D; focus areas;
Lead and contribute to Integral Breeding strategies and the Long-Range Plan (LRP), ensuring alignment with high-level functional and commercial goals;
Engage strategically with key universities to coach and guide future talent development, ensuring Bayer is viewed as a strategic talent destination of choice;
Serve as a member of various L3 leadership units across commercial and product supply teams, helping connect research acceleration with downstream product and supply decisions;
Ensure a strong focus on HS&E;, Compliance, DEI, Business Conduct, and Human Rights across the Capability Hub, fostering a culture that emphasizes ethical practices, safety, inclusion, and responsibility.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
PhD degree or MS degree in Plant or Animal Breeding, Quantitative or Statistical Genetics, Data Science, or a related field
Strong knowledge of advanced breeding technologies, advanced analytics and information technologies, genomics, and/or quantitative genetics, with a proven track record of driving innovation into applied pipelines;
Strong ability to collaborate and build cross-functional partnerships to solve complex business and technical problems across regions and functions;
Demonstrated ability to embrace and rolecurity risks, identity blind spots, infrastructure misconfigurations, and potential threats.
The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.
About the Role We're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.
This is not a traditional backend or internal data engineering position.
You'll work directly with customers to understand their infrastructure,



data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.
You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting .
A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time‐to‐production.
What You'll Be Doing Design, develop, and maintain production‐grade data collectors, connectors, and ingestion services .
Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems .
Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.
Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.
Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high‐volume data sources .
Build integrations using REST APIs, cloud‐native services, event‐driven architectures, and modern software engineering practices .
Develop backend services primarily using Python and/or Go .
Work with SQL and NoSQL databases to store, transform, query, and analyze high‐volume data.
Build and operate containerized services using Docker and Kubernetes .
Deploy and integrate solutions across AWS, Azure, and GCP environments .
Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
Optimize ingestion performance, reliability, scalability, and operational efficiency.
Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.
Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
Contribute technical insights from real‐world implementations to the product roadmap.
Support production adoption and continuously improve time‐to‐value for enterprise customers.
Participate in occasional customer‐facing technical sessions and, when necessary, onsite engagements.
What You Bring 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
Strong software development experience with: Python Go Strong experience designing and consuming REST APIs .
Hands‐on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems .
Experience integrating complex enterprise systems and third‐party platforms.
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📌 Senior Data Engineer - Ingestion & Analytics Pipelines (Santa Fe)
🏢 Unavailable
📍 Santa Fe