Design, build, and optimize data pipelines and data products across Yara’s enterprise data platform, integrating SAP and non‑SAP sources into a modern cloud‑based ecosystem.
Responsibilities
Mentor and coach data engineers, providing technical guidance and supporting professional growth.
Lead technical design discussions, architecture reviews, and engineering decision‑making processes.
Promote engineering best practices, coding standards, quality assurance, and operational excellence.
Support planning, estimation, prioritization, and execution of data engineering initiatives and strategic data products.
Act as a trusted technical leader, balancing business priorities with engineering excellence and long‑term platform sustainability.
Requirements
Bachelor’s or Master’s degree in Information Technology, Computer Science, or related field
Architect and build next-generation SI systems for national security, spanning agentic SI platforms, petabyte-scale data orchestration, and real-time intelligence processing.
Locations (2)
Richland, Washington, United States
Seattle, Washington, United States
Compensation
$161,300 - $255,000 year
Responsibilities
Architect and build next-generation SI systems
Build agentic SI with dynamic reasoning, LLM orchestration (LangChain, LlamaIndex, LangGraph), MLOps platforms, and multi-modal reasoning pipelines
Develop microservices across security enclaves, real-time streaming (TB/hour), petabyte-scale ETL, data lake/mesh architectures, and Kubernetes/CI-CD
Ensure secure SI deployments, observability across enclaves, ethical SI compliance, and geospatial/time-series intelligence data fusion
Lead engineers on high-impact ambiguous scope, drive architecture and strategy, build roadmaps from cutting-edge research, and mentor teams
Senior Security Software Engineer - Data, Assistant Vice President
Senior Data Engineer responsible for data engineering across on‑prem and cloud products, building scalable pipelines, and enabling data‑driven decisions for internal customers in a large bank.
Compensation
Minimum Salary: zł182,004 Annual
Responsibilities
Own technical ownership of data engineering aspects across on‑prem and cloud products
Build and optimize scalable data pipelines, architectures, data models and data sets
Enable internal customers to make data‑driven decisions
Shape future data solutions at the intersection of Cybersecurity & IT
Collaborate with distributed systems, portals and data warehouses
Requirements
Nice to have: public Cloud platforms (Azure, AWS, GCP)
Nice to have: migrating or re‑architecting workloads from on‑prem to cloud-native
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